Bd_pr_trm.ipynb

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   "source": [
    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "265f6fcb",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-01-01 1998-02-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980101 19980201 19980301 ... 20081101 20081201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a6cbae1e-bc01-4464-86bb-98c858d35070' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a6cbae1e-bc01-4464-86bb-98c858d35070' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 132</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5ec93c4e-b82a-45ea-82ba-4125582dbf44' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5ec93c4e-b82a-45ea-82ba-4125582dbf44' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-01-01 ... 2008-12-01</div><input id='attrs-47e9fd53-c4d4-4b29-8773-e3a63d539e9f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47e9fd53-c4d4-4b29-8773-e3a63d539e9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19160870-bc06-4241-af9d-b5858d1d9b02' class='xr-var-data-in' type='checkbox'><label for='data-19160870-bc06-4241-af9d-b5858d1d9b02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-01-01T00:00:00.000000000&#x27;, &#x27;1998-02-01T00:00:00.000000000&#x27;,\n",
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       "       &#x27;2000-11-01T00:00:00.000000000&#x27;, &#x27;2000-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2001-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-03-01T00:00:00.000000000&#x27;, &#x27;2001-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-05-01T00:00:00.000000000&#x27;, &#x27;2001-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-07-01T00:00:00.000000000&#x27;, &#x27;2001-08-01T00:00:00.000000000&#x27;,\n",
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       "       &#x27;2002-03-01T00:00:00.000000000&#x27;, &#x27;2002-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-05-01T00:00:00.000000000&#x27;, &#x27;2002-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2002-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-09-01T00:00:00.000000000&#x27;, &#x27;2002-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-11-01T00:00:00.000000000&#x27;, &#x27;2002-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2003-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-03-01T00:00:00.000000000&#x27;, &#x27;2003-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-05-01T00:00:00.000000000&#x27;, &#x27;2003-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-07-01T00:00:00.000000000&#x27;, &#x27;2003-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-09-01T00:00:00.000000000&#x27;, &#x27;2003-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-11-01T00:00:00.000000000&#x27;, &#x27;2003-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-01-01T00:00:00.000000000&#x27;, &#x27;2004-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-03-01T00:00:00.000000000&#x27;, &#x27;2004-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-05-01T00:00:00.000000000&#x27;, &#x27;2004-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2004-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-09-01T00:00:00.000000000&#x27;, &#x27;2004-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-11-01T00:00:00.000000000&#x27;, &#x27;2004-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2005-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-03-01T00:00:00.000000000&#x27;, &#x27;2005-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-05-01T00:00:00.000000000&#x27;, &#x27;2005-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-01-01T00:00:00.000000000&#x27;, &#x27;2006-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-03-01T00:00:00.000000000&#x27;, &#x27;2006-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-05-01T00:00:00.000000000&#x27;, &#x27;2006-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-07-01T00:00:00.000000000&#x27;, &#x27;2006-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-09-01T00:00:00.000000000&#x27;, &#x27;2006-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-11-01T00:00:00.000000000&#x27;, &#x27;2006-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2007-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-03-01T00:00:00.000000000&#x27;, &#x27;2007-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-05-01T00:00:00.000000000&#x27;, &#x27;2007-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-07-01T00:00:00.000000000&#x27;, &#x27;2007-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-09-01T00:00:00.000000000&#x27;, &#x27;2007-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-11-01T00:00:00.000000000&#x27;, &#x27;2007-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-01-01T00:00:00.000000000&#x27;, &#x27;2008-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-03-01T00:00:00.000000000&#x27;, &#x27;2008-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-05-01T00:00:00.000000000&#x27;, &#x27;2008-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-07-01T00:00:00.000000000&#x27;, &#x27;2008-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-09-01T00:00:00.000000000&#x27;, &#x27;2008-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-11-01T00:00:00.000000000&#x27;, &#x27;2008-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-e31a627b-f089-406e-b3b2-215c6edfeedd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e31a627b-f089-406e-b3b2-215c6edfeedd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cf35d86-5f42-4fa9-9089-e7a433ed0886' class='xr-var-data-in' type='checkbox'><label for='data-8cf35d86-5f42-4fa9-9089-e7a433ed0886' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-cede3163-dd9e-498c-926e-a2283bb082ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cede3163-dd9e-498c-926e-a2283bb082ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98936c74-b868-482d-aabb-901ff66aee75' class='xr-var-data-in' type='checkbox'><label for='data-98936c74-b868-482d-aabb-901ff66aee75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3663f75e-0368-4d6c-a9ab-ac1efbfa8330' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3663f75e-0368-4d6c-a9ab-ac1efbfa8330' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29217562-7a18-4aa0-a147-33591c8338f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29217562-7a18-4aa0-a147-33591c8338f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d093d23-dd91-4722-a781-4d7f14947216' class='xr-var-data-in' type='checkbox'><label for='data-9d093d23-dd91-4722-a781-4d7f14947216' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980101, 19980201, 19980301, 19980401, 19980501, 19980601, 19980701,\n",
       "       19980801, 19980901, 19981001, 19981101, 19981201, 19990101, 19990201,\n",
       "       19990301, 19990401, 19990501, 19990601, 19990701, 19990801, 19990901,\n",
       "       19991001, 19991101, 19991201, 20000101, 20000201, 20000301, 20000401,\n",
       "       20000501, 20000601, 20000701, 20000801, 20000901, 20001001, 20001101,\n",
       "       20001201, 20010101, 20010201, 20010301, 20010401, 20010501, 20010601,\n",
       "       20010701, 20010801, 20010901, 20011001, 20011101, 20011201, 20020101,\n",
       "       20020201, 20020301, 20020401, 20020501, 20020601, 20020701, 20020801,\n",
       "       20020901, 20021001, 20021101, 20021201, 20030101, 20030201, 20030301,\n",
       "       20030401, 20030501, 20030601, 20030701, 20030801, 20030901, 20031001,\n",
       "       20031101, 20031201, 20040101, 20040201, 20040301, 20040401, 20040501,\n",
       "       20040601, 20040701, 20040801, 20040901, 20041001, 20041101, 20041201,\n",
       "       20050101, 20050201, 20050301, 20050401, 20050501, 20050601, 20050701,\n",
       "       20050801, 20050901, 20051001, 20051101, 20051201, 20060101, 20060201,\n",
       "       20060301, 20060401, 20060501, 20060601, 20060701, 20060801, 20060901,\n",
       "       20061001, 20061101, 20061201, 20070101, 20070201, 20070301, 20070401,\n",
       "       20070501, 20070601, 20070701, 20070801, 20070901, 20071001, 20071101,\n",
       "       20071201, 20080101, 20080201, 20080301, 20080401, 20080501, 20080601,\n",
       "       20080701, 20080801, 20080901, 20081001, 20081101, 20081201], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-538afc56-4e65-4132-9af6-874764187673' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-538afc56-4e65-4132-9af6-874764187673' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1a4e9ed-6bae-4765-8d53-3b5f3f7aed71' class='xr-var-data-in' type='checkbox'><label for='data-f1a4e9ed-6bae-4765-8d53-3b5f3f7aed71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8acdb525-0139-484f-9a51-40956c712eb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8acdb525-0139-484f-9a51-40956c712eb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91f510d6-a558-487b-b1dd-09002bd38902' class='xr-var-data-in' type='checkbox'><label for='data-91f510d6-a558-487b-b1dd-09002bd38902' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[76032000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76017b6c-7062-43be-95f1-7421e7f16796' class='xr-section-summary-in' type='checkbox'  checked><label for='section-76017b6c-7062-43be-95f1-7421e7f16796' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-01-01 1998-02-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 ...\n",
       "    datesec  (time) timedelta64[ns] ...\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/trm/MonthlyTRMM_3B43/3B43.1998_2008.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6628d59e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.variables\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "31cc8fde",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 44, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6900eeef-723a-4179-812d-5b9b8b685b8b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6900eeef-723a-4179-812d-5b9b8b685b8b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 44</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ea3c6502-572d-4734-aa09-627bf36dafdb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ea3c6502-572d-4734-aa09-627bf36dafdb' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2008-09-01</div><input id='attrs-5ce242dd-7c69-4d38-8a30-261983ce9bd8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ce242dd-7c69-4d38-8a30-261983ce9bd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e18af94-81d7-4bf8-8e8b-01b787708983' class='xr-var-data-in' type='checkbox'><label for='data-4e18af94-81d7-4bf8-8e8b-01b787708983' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-e6526d8f-f5fa-4424-90fb-d8b022548673' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6526d8f-f5fa-4424-90fb-d8b022548673' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbfe5d81-2509-4641-bc5f-8b0b3bb38e3a' class='xr-var-data-in' type='checkbox'><label for='data-dbfe5d81-2509-4641-bc5f-8b0b3bb38e3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-99fc3652-5524-434f-846f-3193e1b6f3d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99fc3652-5524-434f-846f-3193e1b6f3d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-736dae91-79f9-43b4-b60c-00bfeb0157a8' class='xr-var-data-in' type='checkbox'><label for='data-736dae91-79f9-43b4-b60c-00bfeb0157a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a978bbba-7765-4b73-a7e0-cf2d142db6b3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a978bbba-7765-4b73-a7e0-cf2d142db6b3' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20080901</div><input id='attrs-90e1b02a-dbf7-4e7a-b315-4f856131cb92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90e1b02a-dbf7-4e7a-b315-4f856131cb92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59b8edf7-3da9-46c3-ae2a-711ef2e2d937' class='xr-var-data-in' type='checkbox'><label for='data-59b8edf7-3da9-46c3-ae2a-711ef2e2d937' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901, 20060601, 20060701, 20060801,\n",
       "       20060901, 20070601, 20070701, 20070801, 20070901, 20080601, 20080701,\n",
       "       20080801, 20080901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-a68ad32d-2edd-4d24-90b9-94de02a70b86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a68ad32d-2edd-4d24-90b9-94de02a70b86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efcc7eba-5288-49ba-bcdb-ab5e7e2d5805' class='xr-var-data-in' type='checkbox'><label for='data-efcc7eba-5288-49ba-bcdb-ab5e7e2d5805' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa377d23-bc61-4c57-97dc-9742bfa1e4e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa377d23-bc61-4c57-97dc-9742bfa1e4e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7ba608d-0e88-4d5d-b175-4306a2f125a8' class='xr-var-data-in' type='checkbox'><label for='data-f7ba608d-0e88-4d5d-b175-4306a2f125a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[25344000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-86891f5c-38b3-4d00-a046-1df51c69223c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-86891f5c-38b3-4d00-a046-1df51c69223c' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 44, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "afdbe6c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(lon=slice(85,96),lat=slice(18,29))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "50897563",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 400, lon: 1440)&gt;\n",
       "array([[0.0381104 , 0.03699899, 0.0362663 , ..., 0.03209912, 0.03759413,\n",
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       "       [0.12926112, 0.12957145, 0.13067223, ..., 0.1286286 , 0.12976623,\n",
       "        0.12951607],\n",
       "       [0.12442965, 0.12446208, 0.12697662, ..., 0.12407409, 0.12526247,\n",
       "        0.12601288]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1758c8c4-8c98-482d-a2b0-9e8b7bfb90e2' class='xr-array-in' type='checkbox' checked><label for='section-1758c8c4-8c98-482d-a2b0-9e8b7bfb90e2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.03811 0.037 0.03627 0.03582 0.03461 ... 0.1209 0.1241 0.1253 0.126</span></div><div class='xr-array-data'><pre>array([[0.0381104 , 0.03699899, 0.0362663 , ..., 0.03209912, 0.03759413,\n",
       "        0.03926776],\n",
       "       [0.03683186, 0.03541438, 0.03540602, ..., 0.03372177, 0.03821373,\n",
       "        0.03799237],\n",
       "       [0.03664286, 0.03578676, 0.03454726, ..., 0.03199663, 0.0354419 ,\n",
       "        0.03523389],\n",
       "       ...,\n",
       "       [0.13431194, 0.13516451, 0.13670063, ..., 0.1315137 , 0.13232943,\n",
       "        0.13263422],\n",
       "       [0.12926112, 0.12957145, 0.13067223, ..., 0.1286286 , 0.12976623,\n",
       "        0.12951607],\n",
       "       [0.12442965, 0.12446208, 0.12697662, ..., 0.12407409, 0.12526247,\n",
       "        0.12601288]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-86cc2d6c-f0e4-4f12-b02e-bf5c05581a73' class='xr-section-summary-in' type='checkbox'  checked><label for='section-86cc2d6c-f0e4-4f12-b02e-bf5c05581a73' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-55da091a-fe68-459f-9499-7d2756f6fb3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55da091a-fe68-459f-9499-7d2756f6fb3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef0e0fc7-bf55-4fba-a4a6-5f84f7066de9' class='xr-var-data-in' type='checkbox'><label for='data-ef0e0fc7-bf55-4fba-a4a6-5f84f7066de9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-11f30b77-ffdc-4c61-9c90-9c2da163284f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11f30b77-ffdc-4c61-9c90-9c2da163284f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8d0553a-b0f5-4ac0-bcd1-daa17d7d9aee' class='xr-var-data-in' type='checkbox'><label for='data-c8d0553a-b0f5-4ac0-bcd1-daa17d7d9aee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ac0b9c5-f314-4226-b231-8fec7a26812d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ac0b9c5-f314-4226-b231-8fec7a26812d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (lat: 400, lon: 1440)>\n",
       "array([[0.0381104 , 0.03699899, 0.0362663 , ..., 0.03209912, 0.03759413,\n",
       "        0.03926776],\n",
       "       [0.03683186, 0.03541438, 0.03540602, ..., 0.03372177, 0.03821373,\n",
       "        0.03799237],\n",
       "       [0.03664286, 0.03578676, 0.03454726, ..., 0.03199663, 0.0354419 ,\n",
       "        0.03523389],\n",
       "       ...,\n",
       "       [0.13431194, 0.13516451, 0.13670063, ..., 0.1315137 , 0.13232943,\n",
       "        0.13263422],\n",
       "       [0.12926112, 0.12957145, 0.13067223, ..., 0.1286286 , 0.12976623,\n",
       "        0.12951607],\n",
       "       [0.12442965, 0.12446208, 0.12697662, ..., 0.12407409, 0.12526247,\n",
       "        0.12601288]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.precip.mean('time')\n",
    " \n",
    "jjas_mean "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2731cd3b",
   "metadata": {},
   "outputs": [
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       "       ...,\n",
       "       [3.2234867 , 3.2439485 , 3.2808151 , ..., 3.1563287 , 3.1759064 ,\n",
       "        3.1832213 ],\n",
       "       [3.1022668 , 3.109715  , 3.1361337 , ..., 3.0870862 , 3.1143894 ,\n",
       "        3.1083856 ],\n",
       "       [2.9863117 , 2.9870899 , 3.047439  , ..., 2.9777782 , 3.0062993 ,\n",
       "        3.0243092 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0b23eae6-a6ae-48f6-b899-f6b1561123ee' class='xr-array-in' type='checkbox' checked><label for='section-0b23eae6-a6ae-48f6-b899-f6b1561123ee' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9146 0.888 0.8704 0.8597 0.8307 ... 2.815 2.901 2.978 3.006 3.024</span></div><div class='xr-array-data'><pre>array([[0.9146496 , 0.8879758 , 0.8703913 , ..., 0.7703788 , 0.9022591 ,\n",
       "        0.9424263 ],\n",
       "       [0.8839647 , 0.84994507, 0.84974456, ..., 0.8093225 , 0.91712964,\n",
       "        0.91181684],\n",
       "       [0.87942874, 0.8588823 , 0.8291342 , ..., 0.76791906, 0.8506056 ,\n",
       "        0.84561324],\n",
       "       ...,\n",
       "       [3.2234867 , 3.2439485 , 3.2808151 , ..., 3.1563287 , 3.1759064 ,\n",
       "        3.1832213 ],\n",
       "       [3.1022668 , 3.109715  , 3.1361337 , ..., 3.0870862 , 3.1143894 ,\n",
       "        3.1083856 ],\n",
       "       [2.9863117 , 2.9870899 , 3.047439  , ..., 2.9777782 , 3.0062993 ,\n",
       "        3.0243092 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-60128f0e-7f90-408b-b79f-99813acfc1d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-60128f0e-7f90-408b-b79f-99813acfc1d0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-9912f8f3-79ac-4b0f-a4b6-f15fff9c846f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9912f8f3-79ac-4b0f-a4b6-f15fff9c846f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2902c42a-f02f-49e6-aa64-f72674441730' class='xr-var-data-in' type='checkbox'><label for='data-2902c42a-f02f-49e6-aa64-f72674441730' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-538a7eea-6096-4859-a2a6-f3b1019700e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-538a7eea-6096-4859-a2a6-f3b1019700e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-272a397e-f2ca-4e68-9750-05c86255e0fd' class='xr-var-data-in' type='checkbox'><label for='data-272a397e-f2ca-4e68-9750-05c86255e0fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-15b40150-e4bc-4956-8e52-86f51b672f0f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-15b40150-e4bc-4956-8e52-86f51b672f0f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (lat: 400, lon: 1440)>\n",
       "array([[0.9146496 , 0.8879758 , 0.8703913 , ..., 0.7703788 , 0.9022591 ,\n",
       "        0.9424263 ],\n",
       "       [0.8839647 , 0.84994507, 0.84974456, ..., 0.8093225 , 0.91712964,\n",
       "        0.91181684],\n",
       "       [0.87942874, 0.8588823 , 0.8291342 , ..., 0.76791906, 0.8506056 ,\n",
       "        0.84561324],\n",
       "       ...,\n",
       "       [3.2234867 , 3.2439485 , 3.2808151 , ..., 3.1563287 , 3.1759064 ,\n",
       "        3.1832213 ],\n",
       "       [3.1022668 , 3.109715  , 3.1361337 , ..., 3.0870862 , 3.1143894 ,\n",
       "        3.1083856 ],\n",
       "       [2.9863117 , 2.9870899 , 3.047439  , ..., 2.9777782 , 3.0062993 ,\n",
       "        3.0243092 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#changing unit from mm/h to mm/day\n",
    "pr_mm = jjas_mean*24\n",
    "pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bc24ba4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting with cartopy jjas_pr_mean\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    " \n",
    "m1 = ax.contourf(pr_mm['lon'][:], pr_mm['lat'][:],pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'rain_rate mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "#ax.add_feature(cfeature.STATES)\n",
    "#ax.add_feature(cfeature.LAND)\n",
    "#ax.add_feature(cfeature.LAKES)\n",
    "#ax.add_feature(cfeature.OCEAN)\n",
    "#ax.add_feature(cfeature.RIVERS)\n",
    "\n",
    "\n",
    "plt.title('TRMM Mean jjas precip rate in mm/day')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_trm_jjas_mean.png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2c020d41",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 400, lon: 1440)&gt;\n",
       "array([[0.04476201, 0.04376696, 0.04354935, ..., 0.03647194, 0.04243705,\n",
       "        0.04550381],\n",
       "       [0.04351989, 0.04356124, 0.04372648, ..., 0.03745295, 0.04289915,\n",
       "        0.04401639],\n",
       "       [0.04443063, 0.04393069, 0.04390794, ..., 0.03981588, 0.04349359,\n",
       "        0.04389972],\n",
       "       ...,\n",
       "       [0.08689184, 0.08782186, 0.08661684, ..., 0.08346046, 0.08496572,\n",
       "        0.08494511],\n",
       "       [0.0825528 , 0.08305466, 0.08236539, ..., 0.0810506 , 0.08142085,\n",
       "        0.08170142],\n",
       "       [0.07864919, 0.07884002, 0.07942279, ..., 0.07603203, 0.07725689,\n",
       "        0.07875291]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c229cda8-a689-4091-b5a1-c338e6d385ee' class='xr-array-in' type='checkbox' checked><label for='section-c229cda8-a689-4091-b5a1-c338e6d385ee' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.04476 0.04377 0.04355 0.04366 ... 0.0758 0.07603 0.07726 0.07875</span></div><div class='xr-array-data'><pre>array([[0.04476201, 0.04376696, 0.04354935, ..., 0.03647194, 0.04243705,\n",
       "        0.04550381],\n",
       "       [0.04351989, 0.04356124, 0.04372648, ..., 0.03745295, 0.04289915,\n",
       "        0.04401639],\n",
       "       [0.04443063, 0.04393069, 0.04390794, ..., 0.03981588, 0.04349359,\n",
       "        0.04389972],\n",
       "       ...,\n",
       "       [0.08689184, 0.08782186, 0.08661684, ..., 0.08346046, 0.08496572,\n",
       "        0.08494511],\n",
       "       [0.0825528 , 0.08305466, 0.08236539, ..., 0.0810506 , 0.08142085,\n",
       "        0.08170142],\n",
       "       [0.07864919, 0.07884002, 0.07942279, ..., 0.07603203, 0.07725689,\n",
       "        0.07875291]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-58242c5e-b4d4-4bf2-abdc-1bc306eb51ee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58242c5e-b4d4-4bf2-abdc-1bc306eb51ee' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-73feee5b-1798-4dce-bdfa-6905e9002c7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73feee5b-1798-4dce-bdfa-6905e9002c7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2503dab-23f0-480c-ac1a-b5cae1c9c30f' class='xr-var-data-in' type='checkbox'><label for='data-b2503dab-23f0-480c-ac1a-b5cae1c9c30f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-450f208b-70a5-4537-910f-fe8bdb153edb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-450f208b-70a5-4537-910f-fe8bdb153edb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87e87c26-a48e-466b-bcd6-170532efc853' class='xr-var-data-in' type='checkbox'><label for='data-87e87c26-a48e-466b-bcd6-170532efc853' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-efe4d6ae-ea51-4dd5-b746-14ca932cb60f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-efe4d6ae-ea51-4dd5-b746-14ca932cb60f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (lat: 400, lon: 1440)>\n",
       "array([[0.04476201, 0.04376696, 0.04354935, ..., 0.03647194, 0.04243705,\n",
       "        0.04550381],\n",
       "       [0.04351989, 0.04356124, 0.04372648, ..., 0.03745295, 0.04289915,\n",
       "        0.04401639],\n",
       "       [0.04443063, 0.04393069, 0.04390794, ..., 0.03981588, 0.04349359,\n",
       "        0.04389972],\n",
       "       ...,\n",
       "       [0.08689184, 0.08782186, 0.08661684, ..., 0.08346046, 0.08496572,\n",
       "        0.08494511],\n",
       "       [0.0825528 , 0.08305466, 0.08236539, ..., 0.0810506 , 0.08142085,\n",
       "        0.08170142],\n",
       "       [0.07864919, 0.07884002, 0.07942279, ..., 0.07603203, 0.07725689,\n",
       "        0.07875291]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_mean = data.precip.mean('time')\n",
    "annual_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a4d84f93",
   "metadata": {},
   "outputs": [
    {
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       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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       " */\n",
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       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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       "\n",
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       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
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       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
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       "\n",
       ".xr-header {\n",
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       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
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       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
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       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
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       "\n",
       ".xr-section-item input + label {\n",
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       "\n",
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       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
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       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 400, lon: 1440)&gt;\n",
       "array([[1.0742881 , 1.0504069 , 1.0451844 , ..., 0.87532663, 1.0184891 ,\n",
       "        1.0920916 ],\n",
       "       [1.0444775 , 1.0454698 , 1.0494355 , ..., 0.89887094, 1.0295796 ,\n",
       "        1.0563935 ],\n",
       "       [1.0663352 , 1.0543367 , 1.0537906 , ..., 0.9555811 , 1.0438461 ,\n",
       "        1.0535934 ],\n",
       "       ...,\n",
       "       [2.0854042 , 2.1077247 , 2.078804  , ..., 2.003051  , 2.0391774 ,\n",
       "        2.0386825 ],\n",
       "       [1.9812672 , 1.9933119 , 1.9767694 , ..., 1.9452143 , 1.9541004 ,\n",
       "        1.960834  ],\n",
       "       [1.8875806 , 1.8921607 , 1.906147  , ..., 1.8247687 , 1.8541653 ,\n",
       "        1.89007   ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-06cecdec-b1bb-4049-94d5-3b6ee7a44f52' class='xr-array-in' type='checkbox' checked><label for='section-06cecdec-b1bb-4049-94d5-3b6ee7a44f52' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.074 1.05 1.045 1.048 1.061 1.054 ... 1.795 1.819 1.825 1.854 1.89</span></div><div class='xr-array-data'><pre>array([[1.0742881 , 1.0504069 , 1.0451844 , ..., 0.87532663, 1.0184891 ,\n",
       "        1.0920916 ],\n",
       "       [1.0444775 , 1.0454698 , 1.0494355 , ..., 0.89887094, 1.0295796 ,\n",
       "        1.0563935 ],\n",
       "       [1.0663352 , 1.0543367 , 1.0537906 , ..., 0.9555811 , 1.0438461 ,\n",
       "        1.0535934 ],\n",
       "       ...,\n",
       "       [2.0854042 , 2.1077247 , 2.078804  , ..., 2.003051  , 2.0391774 ,\n",
       "        2.0386825 ],\n",
       "       [1.9812672 , 1.9933119 , 1.9767694 , ..., 1.9452143 , 1.9541004 ,\n",
       "        1.960834  ],\n",
       "       [1.8875806 , 1.8921607 , 1.906147  , ..., 1.8247687 , 1.8541653 ,\n",
       "        1.89007   ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-0f1eea90-ca1e-4d14-9aa9-32e31074d9fd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0f1eea90-ca1e-4d14-9aa9-32e31074d9fd' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-df43a992-cdec-4c73-a2bf-d048fd2bd4be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df43a992-cdec-4c73-a2bf-d048fd2bd4be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f3a0da8-2b36-45b4-8b40-8865c60be891' class='xr-var-data-in' type='checkbox'><label for='data-7f3a0da8-2b36-45b4-8b40-8865c60be891' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-0167af6f-d13a-48c5-b1fa-e95f4ca37ab5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0167af6f-d13a-48c5-b1fa-e95f4ca37ab5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-676fc2cc-86dd-49a9-ac25-78811a3ceccf' class='xr-var-data-in' type='checkbox'><label for='data-676fc2cc-86dd-49a9-ac25-78811a3ceccf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f14845d5-c889-4e3a-bbf9-d8025a272c6a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f14845d5-c889-4e3a-bbf9-d8025a272c6a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (lat: 400, lon: 1440)>\n",
       "array([[1.0742881 , 1.0504069 , 1.0451844 , ..., 0.87532663, 1.0184891 ,\n",
       "        1.0920916 ],\n",
       "       [1.0444775 , 1.0454698 , 1.0494355 , ..., 0.89887094, 1.0295796 ,\n",
       "        1.0563935 ],\n",
       "       [1.0663352 , 1.0543367 , 1.0537906 , ..., 0.9555811 , 1.0438461 ,\n",
       "        1.0535934 ],\n",
       "       ...,\n",
       "       [2.0854042 , 2.1077247 , 2.078804  , ..., 2.003051  , 2.0391774 ,\n",
       "        2.0386825 ],\n",
       "       [1.9812672 , 1.9933119 , 1.9767694 , ..., 1.9452143 , 1.9541004 ,\n",
       "        1.960834  ],\n",
       "       [1.8875806 , 1.8921607 , 1.906147  , ..., 1.8247687 , 1.8541653 ,\n",
       "        1.89007   ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#converting from mm/h to mm/day\n",
    "\n",
    "annual_pr_mm = annual_mean*24\n",
    "annual_pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a196b8fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(annual_pr_mm['lon'], annual_pr_mm['lat'],annual_pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "#ax.add_feature(cfeature.STATES)\n",
    "plt.title('TRMM Annual mean precip rate in mm/day')\n",
    "\n",
    "\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_trm_annual_mean.png\")"
   ]
  },
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