From 6b5f00f75739b37a267d577e26819b10caa81c51 Mon Sep 17 00:00:00 2001 From: siddharm Date: Mon, 10 Aug 2020 22:07:15 -0400 Subject: [PATCH] pie charts with new data --- Language-Date visualizations.ipynb | 178 +++++++++++++++++++++++++++++ recreated_data_using_API.ipynb | 50 +------- 2 files changed, 181 insertions(+), 47 deletions(-) create mode 100644 Language-Date visualizations.ipynb diff --git a/Language-Date visualizations.ipynb b/Language-Date visualizations.ipynb new file mode 100644 index 0000000..c4e8b79 --- /dev/null +++ b/Language-Date visualizations.ipynb @@ -0,0 +1,178 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "df = pd.read_csv('language_data_with_dates.csv')\n", + "#codes where df[df['ascl-id'] == 0] need to be dealt with when thinking about dates" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(-1.1122943007093113,\n", + " 1.101258600491493,\n", + " -1.1010813502712005,\n", + " 1.1000514928760843)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#A pie chart of the total language stats\n", + "\n", + "#cast the Bytes column to int64\n", + "df = df[pd.to_numeric(df.Bytes,errors='coerce').notnull()]\n", + "df.Bytes = df['Bytes'].astype(str).astype(int)\n", + "df.sort_values(by='Bytes', ascending=False)\n", + "\n", + "#group the rows by languages and sum on the Bytes column\n", + "lang = df.groupby('Language', as_index=False)['Bytes'].sum()\n", + "\n", + "#Sed takes up a lot because one repository was\n", + "#using the file extension for their own data, not code\n", + "#Jupyter notebooks can be excluded, since they may contain \n", + "#images which can artificially inflate the size\n", + "lang = lang[lang['Language'] != \"sed\"]\n", + "lang = lang[lang['Language'] != \"Jupyter Notebook\"]\n", + "\n", + "#create a new column for the percent that language occupies\n", + "lang['% of total'] = lang.Bytes / lang.Bytes.sum() * 100\n", + "\n", + "#filtering out irrelevant data\n", + "lang = lang[lang['% of total'] > 0.001]\n", + "\n", + "lang = lang.sort_values(by='% of total', ascending=False)\n", + "\n", + "#Pie chart time!\n", + "fig1, ax1 = plt.subplots()\n", + "ax1.pie(lang[lang.columns[1]], labels=lang[lang.columns[0]], autopct='%1.1f%%',\n", + " shadow=True, startangle=90)\n", + "ax1.axis('equal')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Language Bytes % of total\n", + "0 Python 289004288 18.163067\n", + "1 Fortran 263411241 16.554619\n", + "2 C 244733012 15.380748\n", + "3 C++ 218327962 13.721268\n", + "4 All other languages, each < 2% of total 191282135 12.021518\n", + "5 HTML 95307284 5.989782\n", + "6 Java 63113450 3.966494\n", + "7 Shell 54842464 3.446687\n", + "8 Ruby 53948642 3.390513\n", + "9 TeX 44539192 2.799157\n", + "10 OpenEdge ABL 36927794 2.320803\n", + "11 IDL 35571569 2.235568\n" + ] + }, + { + "data": { + "text/plain": [ + "(-1.1125275989249963,\n", + " 1.1061580341722685,\n", + " -1.101081319684025,\n", + " 1.1000514928489695)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Now, create a pie chart with languages <2% consolidated into one \"Other Languages\" entry\n", + "\n", + "#calculate percent sum\n", + "#calculate bytes sum\n", + "#filter lang dataframe for > 2%\n", + "#create new dataframe row of sum data and append to filtered dataframe\n", + "\n", + "find_sum = lang[lang['% of total'] < 2].sum()\n", + "\n", + "pct_sum = find_sum['% of total']\n", + "bytes_sum = find_sum['Bytes']\n", + "\n", + "new_row = [\"All other languages, each < 2% of total\",\n", + " bytes_sum,\n", + " pct_sum]\n", + "\n", + "most = lang[lang['% of total'] >= 2].reset_index().drop(columns=['index'])\n", + "most.loc[len(most)] = new_row\n", + "most = most.sort_values(by='% of total', ascending=False).reset_index().drop(columns=['index'])\n", + "print(most)\n", + "\n", + "\n", + "fig2, ax2 = plt.subplots()\n", + "ax2.pie(most[most.columns[1]], labels=most[most.columns[0]], autopct='%1.1f%%',\n", + " shadow=True, startangle=90)\n", + "ax2.axis('equal')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/recreated_data_using_API.ipynb b/recreated_data_using_API.ipynb index 822f732..03ea6dc 100644 --- a/recreated_data_using_API.ipynb +++ b/recreated_data_using_API.ipynb @@ -1331,56 +1331,12 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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AuthorRepoascl-idrepo_dateLanguageBytes
\n", - "
" - ], - "text/plain": [ - "Empty DataFrame\n", - "Columns: [Author, Repo, ascl-id, repo_date, Language, Bytes]\n", - "Index: []" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "#saving the data so we don't have to redo this work\n", - "df.to_csv('out.zip', index=False, compression=compression_opts) " + "df.to_csv('language_data_with_dates.csv', index=False)" ] } ],