quick update

catchment/models.py

@@ -20,7 +20,6 @@ def read_variable_from_csv(filename):
              Columns will be the individual sites
     """
     dataset = pd.read_csv(filename, usecols=['Date', 'Site', 'Rainfall (mm)'])
-
     dataset = dataset.rename({'Date':'OldDate'}, axis='columns')
     dataset['Date'] = [pd.to_datetime(x,dayfirst=True) for x in dataset['OldDate']]
     dataset = dataset.drop('OldDate', axis='columns')
@@ -44,15 +43,12 @@ def daily_mean(data):
     Index must be np.datetime64 compatible format."""
     return data.groupby(data.index.date).mean()
 
-
 def daily_max(data):
     """Calculate the daily max of a 2D data array.
     Index must be np.datetime64 compatible format."""
     return data.groupby(data.index.date).max()
 
-
 def daily_min(data):
     """Calculate the daily min of a 2D data array.
     Index must be np.datetime64 compatible format."""
     return data.groupby(data.index.date).min()
-

catchment/views.py

@@ -1,8 +1,6 @@
 """Module containing code for plotting inflammation data."""
 
 from matplotlib import pyplot as plt
-import numpy as np
-
 
 def visualize(data_dict):
     """Display plots of basic statistical properties of the given data.

tests/test_models.py

@@ -112,6 +112,8 @@ def test_daily_max(test_input, expected_output):
     from catchment.models import daily_max
     pdt.assert_frame_equal(daily_max(test_input), expected_output)
 
+
+
 #def test_daily_mean_zeros():
     """Test that mean function works for an array of zeros."""
     from catchment.models import daily_mean