def write_dct_to_csv(a, b, c):
""" """
import csv
import functions
with open(a, 'w') as out_file:
out_csv = csv.writer(out_file)
out_csv.writerow(b)
for k, v in c.items():
keys_values = (k, v)
out_csv.writerow(keys_values)
print(functions.RTN())
print(f'"{a}" exported successfully')
print(functions.RTN())
return a
def write_to_csv(name_of_file, HEADERS, dct):
""" write dictionary to csv """
import csv
with open(name_of_file, 'w') as out_file:
out_csv = csv.writer(out_file)
out_csv.writerow(HEADERS)
for k, v in dct.items():
keys_values = (k, v)
out_csv.writerow(keys_values)
print(functions.RTN())
wk_end_date = usr_input_date('enter week ending date (YYYY-MM-DD)')
print(functions.RTN())
tix_last_wk = usr_input_incs('how many incidents were created last week?')
print(functions.RTN())
tix_this_wk = usr_input_incs('how many incidents were created this week?')
print(functions.RTN())
diff = tix_this_wk - tix_last_wk
print(f'difference: {diff}')
PERC_CHANGE_DCT = {}
if diff < 0:
perc_change_fmt = fmt_perc(diff, tix_last_wk, 'perc_change_fmt')
print(f'percentage change: {perc_change_fmt}')
