def main():
file_name = input('Enter the csv file name: ')
column_name = input('Enter the column name: ')
df = convert_csv_file(file_name)
if not column_name in df.columns:
print('Error: the column {} is not in the file'.format(column_name))
exit(-1)
keys = get_keys(df, column_name)
data_frame_to_csv(df, column_name, keys)
compare_file_counts(['csv_files/'+str(name)+'.csv' for name in keys], [1]*len(keys))
def main(file_name, filter_function, column):
filter_function = get_filter_function(filter_function)
df = convert_date_time.convert_csv_file(file_name)
if filter_function is None:
if not column in df.columns:
print(
'Error: The column specified does not exist in the dataframe')
exit_with_usage(-1)
write_data.data_frame_to_csv(df, column, None)
else:
filtered_df, filter_keys = filter_function(df)
write_data.filtered_data_frame_to_csv(filtered_df, filter_keys)
def main():
file_name = input('Enter the csv file name: ')
column_name = input('Enter the column name: ')
df = convert_csv_file(file_name)
if not column_name in df.columns:
print('Error: the column {} is not in the file'.format(column_name))
exit(-1)
keys = get_keys(df, column_name)
data_frame_to_csv(df, column_name, keys)
compare_file_counts(['csv_files/' + str(name) + '.csv' for name in keys],
[1] * len(keys))