Python Pandas：根据布尔Pandas系列过滤数据框

Question

I know the topic is very well documented but I did not find a solution good enough. I have a boolean pandas series, myboolseries. I have a dataframe df. I want to filter df according to myboolseries (the index where the value is True).

myboolseries = pd.Series(data = [True, False, True], index = [2,5,8])
mydic = {"Age" : [14,12,55,22,98], "Name" : ["Pierre", "Mike", "Selena", "Victor", "Jesus"], "index" : [2,14,5,99,8]}
df = pd.DataFrame.from_dict(mydic).set_index("index")

Here is my solution (it does work), but I'm lookin for a more elegant way :

myboolseries = myboolseries[myboolseries].index
df[myboolseries]

Answer 1

Try:

df.loc[df.index.isin(myboolseries.index)][myboolseries]

       Age    Name
index             
2       14  Pierre
8       98   Jesus

Answer 2

You can try this:

df.reindex(myboolseries.loc[lambda x: x].index)

Output:

   Age    Name
2   14  Pierre
8   98   Jesus

Answer 3

if your Boolean series is the same length of your DataFrame you can just :

df = df[boolseries]

thats it.