f_name = "Eastern_WA_SF_" + str(SF_year) + "_70cloud_" + indeks + ".csv" a_df = pd.read_csv(data_dir + f_name, low_memory=False) ################################################################## ################################################################## #### #### plots has to be exact. So, we need #### to filter out NASS, and filter by last survey date #### ################################################################## ################################################################## a_df = a_df[a_df['county'] == given_county] # Filter given_county a_df = rc.filter_out_NASS(a_df) # Toss NASS a_df = rc.filter_by_lastSurvey(a_df, year=SF_year) # filter by last survey date a_df['SF_year'] = SF_year if irrigated_only == True: a_df = rc.filter_out_nonIrrigated(a_df) output_Irr = "irrigated_only" else: output_Irr = "non_irrigated_only" a_df = rc.filter_out_Irrigated(a_df) ################################################################## if jumps == "yes": output_dir = "/data/hydro/users/Hossein/remote_sensing/02_Eastern_WA_plots_tbls/" + \ "2Yr_plt_70cloud_notRegular_wJump/" + given_county + "_" + str(SF_year) + "_raw_" + output_Irr + "_" + indeks + "/" else: output_dir = "/data/hydro/users/Hossein/remote_sensing/02_Eastern_WA_plots_tbls/" + \
last_part_name = "NassOut_NotCorrectYear" if filter_NASS == False: if filter_lastSurDate == True: print("3") last_part_name = "NassIn_CorrectYears" elif filter_lastSurDate == False: print("4") last_part_name = "NassIn_NotCorrectYears" print(last_part_name) print("filter_NASS is " + str(filter_NASS)) print("filter_lastSurDate is " + str(filter_lastSurDate)) if (filter_NASS == True): a_df = rc.filter_by_lastSurvey(dt_df_surv=a_df, year=2018) print( "After filtering by last survey date, a_df is of dimension {fileShape}." .format(fileShape=a_df.shape)) if (filter_lastSurDate == True): a_df = rc.filter_out_NASS(dt_df_NASS=a_df) print("After filtering out NASS, a_df is of dimension {fileShape}.".format( fileShape=a_df.shape)) ###################### output_dir = data_dir + "/savitzky/Grant_Irrigated_EVI_2018_" + last_part_name + \ "/delta" + str(delt) + "_Sav_win" + str(Sav_win_size) + "_Order" + str(sav_order) + "/" plot_dir_base = output_dir print("plot_dir_base is " + plot_dir_base)