Python initial_clean_NDVIの例

コード例 #1

ファイル: d_2Yrs_raw_or_NoJump_Grant_SG_plots.py プロジェクト: HNoorazar/Ag

# 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

for a_poly in polygon_list:
    if (counter % 1000 == 0):
        print(counter)

コード例 #2

ファイル: 00_2Yrs_Regular_Grant_2017_remove_outliers.py プロジェクト: HNoorazar/Ag

########################################################################################

# 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]),
                         columns=an_EE_TS.columns)