def test_hist_arrays(self): # Creating test image array sim_array = self.merged_df.iloc[:, 0].values obs_array = self.merged_df.iloc[:, 1].values hv.hist(sim_array=sim_array, obs_array=obs_array, num_bins=100, title='Histogram of Streamflows', legend=('SFPT', 'GLOFAS'), labels=('Bins', 'Frequency'), grid=True) buf = BytesIO() plt.savefig(buf, format='png') buf.seek(0) img_test = mpimg.imread(buf) buf.close() # Reading original image img_original = mpimg.imread( os.path.join(os.getcwd(), 'baseline_images', 'plot_tests', 'hist1.png')) # Comparing the images self.assertTrue(np.all(np.isclose(img_test, img_original)))
def test_hist_znorm(self): # Creating test image array hv.hist(merged_data_df=self.merged_df, num_bins=100, title='Histogram of Streamflows', labels=('Bins', 'Frequency'), grid=True, z_norm=True, legend=None, prob_dens=True) buf = BytesIO() plt.savefig(buf, format='png') buf.seek(0) img_test = mpimg.imread(buf) buf.close() # Reading original image img_original = mpimg.imread(os.path.join(os.getcwd(), 'baseline_images', 'plot_tests', 'hist_znorm.png')) # Comparing the images self.assertTrue(np.all(np.isclose(img_test, img_original)))
title='Scatter Plot (Log Scale) for ' + name + '\n River: ' + rio + '. COMID: ' + str(comid), labels=('Simulated', 'Observed'), line45=True, best_fit=True, log_scale=True, figsize=(15, 9)) plt.savefig( path.join( scatter_ls_out_dir, '{0}_{1}_scatter_plot-log_scale.png'.format(str(comid), name))) hv.hist(merged_data_df=merged_df, num_bins=100, legend=('Simulated', 'Observed'), grid=True, title='Histogram of Volume for ' + name + '\n River: ' + rio + '. COMID: ' + str(comid), labels=('Bins', 'Frequency'), figsize=(15, 9)) plt.savefig( path.join(hist_out_dir, '{0}_{1}_histograms.png'.format(str(comid), name))) hv.qqplot(merged_data_df=merged_df, title='Quantile-Quantile Plot of Data for ' + name + '\n River: ' + rio + '. COMID: ' + str(comid), xlabel='Simulated', ylabel='Observed', legend=True, figsize=(15, 9)) plt.savefig(
ebars=monthly_std_error, ecolor=('b', 'r'), tight_xlim=False) plt.savefig(path.join(monthly_average_out_dir, '{0}_{1}_monthly_average.png'.format(str(id), name))) hv.scatter(merged_data_df=merged_df, grid=True, title='Scatter Plot for ' + str(id) + ' - ' + name + '\n COMID: ' + str(comid), labels=('Simulated', 'Observed'), line45=True, best_fit=True, figsize=(15, 9)) plt.savefig(path.join(scatter_out_dir, '{0}_{1}_scatter_plot.png'.format(str(id), name))) hv.scatter(sim_array=sim_array, obs_array=obs_array, grid=True, title='Scatter Plot (Log Scale) for ' + str(id) + ' - ' + name + '\n COMID: ' + str( comid), labels=('Simulated', 'Observed'), line45=True, best_fit=True, log_scale=True, figsize=(15, 9)) plt.savefig(path.join(scatter_ls_out_dir, '{0}_{1}_scatter_plot-log_scale.png'.format(str(id), name))) hv.hist(merged_data_df=merged_df, num_bins=100, legend=('Simulated', 'Observed'), grid=True, title='Histogram of Streamflows for ' + str(id) + ' - ' + name + '\n COMID: ' + str( comid), labels=('Bins', 'Frequency'), figsize=(15, 9)) plt.savefig(path.join(hist_out_dir, '{0}_{1}_histograms.png'.format(str(id), name))) hv.qqplot(merged_data_df=merged_df, title='Quantile-Quantile Plot of Data for ' + str( id) + ' - ' + name + '\n COMID: ' + str(comid), xlabel='Simulated', ylabel='Observed', legend=True, figsize=(15, 9)) plt.savefig(path.join(qqplot_out_dir, '{0}_{1}_qq-plot.png'.format(str(id), name))) '''Time Lag Analysis''' time_lag_metrics = ['ME', 'MAE', 'MAPE', 'RMSE', 'NRMSE (Mean)', 'NSE', 'KGE (2009)', 'KGE (2012)', 'SA', 'R (Pearson)', 'R (Spearman)', 'r2'] station_out_dir = path.join(lag_out_dir, str(id))
line45=True, best_fit=True, log_scale=True, figsize=(15, 9)) #plt.savefig(path.join(scatter_ls_out_dir, '{0}_{1}_scatter_plot-log_scale.png'.format(str(id), name))) plt.savefig( path.join( scatter_ls_out_dir, '{0}_{1}_scatter_plot-log_scale.png'.format(str(comid), name))) hv.hist( merged_data_df=merged_df, num_bins=100, legend=('ERA-Interim', 'ERA-5'), grid=True, #title='Histogram of Streamflows for ' + str(id) + ' - ' + name + '\n River: ' + rio + '. COMID: ' + str( # comid), title='Histogram of Streamflows for ' + name + '\n River: ' + rio + '. COMID: ' + str(comid), labels=('Bins', 'Frequency'), figsize=(15, 9)) #plt.savefig(path.join(hist_out_dir, '{0}_{1}_histograms.png'.format(str(id), name))) plt.savefig( path.join(hist_out_dir, '{0}_{1}_histograms.png'.format(str(comid), name))) hv.qqplot( merged_data_df=merged_df, #title='Quantile-Quantile Plot of Data for ' + str( # id) + ' - ' + name + '\n River: ' + rio + '. COMID: ' + str(comid), title='Quantile-Quantile Plot of Data for ' + name + '\n River: ' +
def test_hist_error(self): df = self.merged_df sim_array = df.iloc[:, 0].values with self.assertRaises(RuntimeError): hv.hist(merged_data_df=self.merged_df, sim_array=sim_array)