def create_basin_csvs(basin_ls, gdrive, folder):
"""Determines if a basin csv exists.
This function
Parameters:
nabd_dams (pandas.DataFrame):
Returns:
"""
## If the specified basin csv does not exist, extract it
os.chdir(gdrive+folder)
read_flag = False
for basin in basin_ls:
if os.path.isfile(basin+'.csv'): #does it exist?
#Read specified basin
print(basin + ': Exists')
else:
if read_flag == False:
flowlines, dams = read.read_lines_dams(gdrive)
read_flag = True
print('\n', basin + ': Does not exist')
nabd_nhd = ex.join_dams_flowlines(basin, flowlines, dams)
def create_basin_csvs(basin_ls, gdrive, folder):
"""Determines if a basin csv exists and create it if needed.
This function passes in a list of basins and determines if a csv with each
basin name exists. If the csv does not exist, it is created with read.py.
The read_flag ensures that read.py is only executed once.
Parameters:
basin_ls (List):
List of basins to be analyzed.
gdrive (string):
Location on the Google Drive to save the csvs.
folder (string):
Folder on the Google Drive where csvs will be saved.
read_flag (boolean):
If False, flowlines and dams will be read in with read.py.
If True, flowlines and dams will not be read in because they
already have been.
flowlines (pandas.DataFrame):
Dataframe containing all NHD flowlines from read.py.
dams (pandas.DataFrame):
Dataframe containing all dams from read.py.
Returns:
Csvs for each of the basins listed in basin_ls in a specified folder
on the Google Drive.
"""
## If the specified basin csv does not exist, extract it
os.chdir(gdrive + folder)
read_flag = False
for basin in basin_ls:
if os.path.isfile(basin + '.csv'): #does it exist?
#Read specified basin
print(basin + ': Exists')
else:
if read_flag == False:
flowlines, dams = read.read_lines_dams(gdrive)
read_flag = True
print('\n', basin + ': Does not exist')
ex.join_dams_flowlines(basin, flowlines, dams)