def team_avg(username, platform):
df = {}
for i in range(len(username)):
time.sleep(1)
df['df{}'.format(i)] = weekly_stats(username[i], platform[i])
text1 = df['df0'].columns[0]
text2 = df['df0'].columns[1]
text3 = df['df0'].columns[2]
text4 = df['df0'].columns[3]
matches = int(df['df0'][df['df0'].columns[0]])
for i in range(len(df)):
matches += int(df['df{}'.format(i)][df['df{}'.format(i)].columns[0]])
avg_matches = matches / len(df)
dmgDone = int(df['df0'][df['df0'].columns[1]])
for i in range(len(df)):
dmgDone += int(df['df{}'.format(i)][df['df{}'.format(i)].columns[1]])
avg_dmgDone = dmgDone / len(df)
dmgTaken = int(df['df0'][df['df0'].columns[2]])
for i in range(len(df)):
dmgTaken += int(df['df{}'.format(i)][df['df{}'.format(i)].columns[2]])
avg_dmgTaken = dmgTaken / len(df)
kd = int(df['df0'][df['df0'].columns[3]])
for i in range(len(df)):
kd += int(df['df{}'.format(i)][df['df{}'.format(i)].columns[3]])
avg_kd = round(kd / len(df), 2)
return (text1, text2, text3, text4, avg_matches, avg_dmgDone, avg_dmgTaken,
avg_kd)
def update_card_text_4(n_clicks, dropdown_value, range_slider_value,
check_list_value, radio_items_value):
print(n_clicks)
print(dropdown_value)
print(range_slider_value)
print(check_list_value)
print(radio_items_value) # Sample data and figure
df = weekly_stats('iBHuynhing', 'psn')
return float(df[df.columns[3]])