dataframes return with datetime index

conda.recipes/meta.yaml

@@ -1,6 +1,6 @@
 package:
   name: geomatics
-  version: 0.3
+  version: 0.4
 
 about:
   author: Riley Hales

docs/conf.py

@@ -13,7 +13,7 @@
 author = 'Riley Hales'
 
 # The full version, including alpha/beta/rc tags
-release = '0.3'
+release = '0.4'
 master_doc = 'index'
 
 # -- General configuration ---------------------------------------------------

geomatics/netcdfs.py

@@ -87,9 +87,9 @@ def point_series(path, variable, coordinates, filename_pattern=None, **kwargs):
             timeseries.append((time, val))
             nc_obj.close()
 
-    # sort the list by the 0 entry (the date), turn it into a pd dataframe, return it
-    timeseries.sort(key=lambda tup: tup[0])
-    return pd.DataFrame(timeseries, columns=['datetime', 'values'])
+    # unzip the timeseries
+    timeseries = list(zip(*timeseries))
+    return pd.DataFrame(timeseries[1], columns=['values'], index=timeseries[0])
 
 
 def box_series(path, variable, coordinates, filename_pattern=None, **kwargs):
@@ -199,9 +199,9 @@ def box_series(path, variable, coordinates, filename_pattern=None, **kwargs):
 
         nc_obj.close()
 
-    # sort the list by the 0 entry (the date), turn it into a pd dataframe, return it
-    timeseries.sort(key=lambda tup: tup[0])
-    return pd.DataFrame(timeseries, columns=['datetime', 'values'])
+    # unzip the timeseries
+    timeseries = list(zip(*timeseries))
+    return pd.DataFrame(timeseries[1], columns=['values'], index=timeseries[0])
 
 
 def shp_series(path, variable, shp_path, filename_pattern=None, **kwargs):
@@ -302,9 +302,9 @@ def shp_series(path, variable, shp_path, filename_pattern=None, **kwargs):
 
             nc_obj.close()
 
-    # sort the list by the 0 entry (the date), turn it into a pd dataframe, return it
-    timeseries.sort(key=lambda tup: tup[0])
-    return pd.DataFrame(timeseries, columns=['datetime', 'values'])
+    # unzip the timeseries
+    timeseries = list(zip(*timeseries))
+    return pd.DataFrame(timeseries[1], columns=['values'], index=timeseries[0])
 
 
 def convert_to_geotiff(files, variable, **kwargs):

setup.py

@@ -6,7 +6,7 @@
 setup(
     name='geomatics',
     packages=['geomatics'],
-    version='0.3',
+    version='0.4',
     description='GIS tools developed by Riley Hales for the BYU Hydroinformatics Lab',
     long_description=long_description,
     long_description_content_type="text/markdown",