os.makedirs(plot_dir_base, exist_ok=True) ###################### # The following columns do not exist in the old data # if not ('DataSrc' in a_df.columns): print("Data source is being set to NA") a_df['DataSrc'] = "NA" if not ('CovrCrp' in a_df.columns): print("CovrCrp is being set to NA") a_df['CovrCrp'] = "NA" if (indeks == "EVI"): a_df = rc.initial_clean_EVI(a_df) print("initial_clean_EVI") else: a_df = rc.initial_clean_NDVI(a_df) print("initial_clean_NDVI") a_df.head(2) an_EE_TS = a_df.copy() del (a_df) ### List of unique polygons polygon_list = np.sort(an_EE_TS['ID'].unique()) print(len(polygon_list)) counter = 0
# nn = data_dir + f_name # an_EE_TS.to_csv(nn, index = False) ######################################################################################## # an_EE_TS = an_EE_TS[an_EE_TS['county'] == county] # Filter Grant an_EE_TS['SF_year'] = SF_year ######################################################################################## output_dir = data_dir + "/outliers_removed/" os.makedirs(output_dir, exist_ok=True) ######################################################################################## if (indeks == "EVI"): an_EE_TS = rc.initial_clean_EVI(an_EE_TS) else: an_EE_TS = rc.initial_clean_NDVI(an_EE_TS) an_EE_TS.head(2) ### ### List of unique polygons ### polygon_list = an_EE_TS['ID'].unique() print(len(polygon_list)) ######################################################################################## output_df = pd.DataFrame(data=None, index=np.arange(an_EE_TS.shape[0]),