From b6f2a51c07af8be2d13798b704f8801c7a618b11 Mon Sep 17 00:00:00 2001
From: Markus Pichler <markus.pichler@tugraz.at>
Date: Tue, 16 Apr 2024 10:11:58 +0200
Subject: [PATCH] style: fixed pandas deprecation errors for frequency strings

---
 ehyd_tools/data_processing.py | 2 +-
 ehyd_tools/design_rainfall.py | 4 ++--
 ehyd_tools/in_out.py          | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/ehyd_tools/data_processing.py b/ehyd_tools/data_processing.py
index 3f61f86..b6f2bff 100644
--- a/ehyd_tools/data_processing.py
+++ b/ehyd_tools/data_processing.py
@@ -56,7 +56,7 @@ def data_validation(series):
 
     tags = DataFrame(index=ts.index)
     tags['nans'] = isna(ts).astype(int)
-    tags = tags.reindex(tags.asfreq('T').index)
+    tags = tags.reindex(tags.asfreq('min').index)
     tags['gaps'] = isna(ts.fillna(0).reindex(tags.index)).astype(int)
     return tags
 
diff --git a/ehyd_tools/design_rainfall.py b/ehyd_tools/design_rainfall.py
index 33a9f77..09692d2 100644
--- a/ehyd_tools/design_rainfall.py
+++ b/ehyd_tools/design_rainfall.py
@@ -83,7 +83,7 @@ def table(self):
             # df = df.dropna(axis=0, how='all')
 
             # convert string column names to integers
-            df.columns = df.columns.str.replace('T', '').astype(int)
+            df.columns = df.columns.str.replace('min', '').astype(int)
             # df.columns.name = 'Jährlichkeit'
             df.columns.name = INDICES.RETURN_PERIOD
 
@@ -217,7 +217,7 @@ def read_ehyd_design_rainfall(filepath_or_buffer):
     df = df.dropna(axis=0, how='all')
 
     # convert string column names to integers
-    df.columns = [int(c.replace('T', '')) for c in df.columns]
+    df.columns = [int(c.replace('min', '')) for c in df.columns]
     # df.columns.name = 'Jährlichkeit'
     df.columns.name = INDICES.RETURN_PERIOD
 
diff --git a/ehyd_tools/in_out.py b/ehyd_tools/in_out.py
index 1e072d9..a307bd5 100644
--- a/ehyd_tools/in_out.py
+++ b/ehyd_tools/in_out.py
@@ -121,7 +121,7 @@ def import_series(filename, series_label='precipitation', index_label='datetime'
             return read_ehyd_file(filename)
     elif filename.endswith('parquet'):
         try:
-            return pd.read_parquet(filename).iloc[:, 0].asfreq('T').copy()
+            return pd.read_parquet(filename).iloc[:, 0].asfreq('min').copy()
         except ImportError:
             raise PARQUET_ERROR
     else: