def test_monthly_std_error(self):
original_df = pd.read_csv(r'Comparison_Files/monthly_std_error.csv', index_col=0)
original_df.index = np.array(['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12'],
dtype=np.object)
test_df = hd.monthly_std_error(self.merged_df)
self.assertIsNone(pd.testing.assert_frame_equal(original_df, test_df))
hv.plot(merged_data_df=daily_avg,
legend=('Simulated', 'Observed'),
grid=True,
x_season=True,
title='Daily Average Streamflow for ' + str(id) + ' - ' + name +
'\n River: ' + rio + '. COMID: ' + str(comid),
labels=['Datetime', 'Streamflow (m$^3$/s)'],
linestyles=['b-', 'r-'],
fig_size=(15, 9))
plt.savefig(
path.join(daily_average_out_dir,
'{0}_{1}_daily_average_1.png'.format(str(id), name)))
monthly_avg = hd.monthly_average(merged_df)
monthly_std_error = hd.monthly_std_error(merged_data=merged_df)
hv.plot(merged_data_df=monthly_avg,
legend=('Simulated', 'Observed'),
grid=True,
x_season=True,
title='Monthly Average Streamflow (Standard Error) for ' +
str(id) + ' - ' + name + '\n River: ' + rio + '. COMID: ' +
str(comid),
labels=['Datetime', 'Streamflow (m$^3$/s)'],
linestyles=['b-', 'r-'],
fig_size=(15, 9),
ebars=monthly_std_error,
ecolor=('b', 'r'),
tight_xlim=False)
plt.savefig(
path.join(monthly_average_out_dir,