我是 Python 的新手，真的可以在这方面使用一些帮助。我想创建一个函数来过滤我想要打开的文件以及具体的月份和日期。这样，用户需要输入他们想要在哪个特定月份或日期分析哪个城市（文件）。但是，我希望用户能够输入不区分大小写的内容。例如，用户可以输入 'chicago'/'CHICAGO"/"ChIcAgO" 并且它仍然为您提供正确的输出而不是错误处理消息。这是我使用的代码：
def get_filters ():
city_options = ['Chicago','New York City','Washington']
month_options = ['January','February','March','April','May','June','All']
day_options = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday','All']
while True:
try:
city = city_options.index(input('\nInsert name of the city to analyze! (Chicago, New York City, Washington)\n'))
month = month_options.index(input('\nInsert month to filter by or "All" to apply no month filter! (January, February, etc.)\n'))
day = day_options.index(input('\nInsert day of the week to filter by or "All" to apply no day filter! (Monday, Tuesday, etc.)\n'))
return city_options[city].lower(), month_options[month].lower(), day_options[day].lower()
except ValueError:
print …我是 python 新手，想知道如何在我使用数据透视表函数创建的数据上创建条形图。
#Create a pivot table for handicaps count calculation for no-show people based on their gender
pv = pd.pivot_table(df_main, values=['hipertension','diabetes','alcoholism'],
columns='status',index='gender',aggfunc=np.sum)
#Reshape the pivot table for easier calculation
data_pv = pv.unstack().unstack('status').reset_index().rename(columns={'level_0':'category','No-Show':'no_show', 'Show-Up':'show_up'})
data_pv['no_show_prop'] = (data_pv['no_show']/
(data_pv['no_show']+data_pv['show_up']))*100
data_pv
结果：
status category gender no_show show_up no_show_prop
0 alcoholism F 308 915 25.183974
1 alcoholism M 369 1768 17.267197
2 diabetes F 1017 4589 18.141277
3 diabetes M 413 1924 17.672229
4 hipertension F 2657 12682 17.321859
5 hipertension M 1115 …