[英]Divide dataframe column value by the total of the column
My question might be too easy for many of you but since i'm a beginner with Python..我的问题对你们中的许多人来说可能太容易了,但因为我是 Python 的初学者。
I want to have the % by value of a column containing 3 different possible values (1,0,-1) but by excluding one of the values in the column (which is -1).我想获得包含 3 个不同可能值(1,0,-1)但排除列中的一个值(即-1)的列的值百分比。
I did this: (df['col_name']).sum()/len(df.col_name)
我这样做了: (df['col_name']).sum()/len(df.col_name)
However it also counts the -1 in it, while i just want to have the % of the value 1/total sum, but without -1 in the total sum.然而,它也计算其中的 -1,而我只想获得值 1/总和的百分比,但总和中没有 -1。
Thank you for your help.谢谢您的帮助。
For exclude values replace -1
to missing values:对于排除值,将-1
替换为缺失值:
df['col_name'].replace(-1, np.nan).sum()/len(df.col_name)
Or filter out -1
values if need count lengths of filtered Series:或者如果需要计算过滤系列的长度,则过滤掉-1
值:
np.random.seed(123)
df = pd.DataFrame({'col_name':np.random.choice([0,1,-1], size=10)})
print (df)
col_name
0 -1
1 1
2 -1
3 -1
4 0
5 -1
6 -1
7 1
8 -1
9 1
s = df.loc[df['col_name'] != -1, 'col_name']
print (s)
1 1
4 0
7 1
9 1
Name: col_name, dtype: int32
print (s.sum()/len(s))
0.75
print (s.mean())
0.75
Assuming you have this dataframe假设你有这个 dataframe
df = pd.DataFrame({
'col_name': [1,1,0,-1,-1,1,0]
})
col_name
0 1
1 1
2 0
3 -1
4 -1
5 1
6 0
You would like to count the number of 1's divided by total numbers without -1's, which is 3 out of 5, correct?您想计算 1 的数量除以没有 -1 的总数,即 5 个中的 3 个,对吗?
numerator = sum(df['col_name'].apply(lambda x: 1 if x==1 else 0))
denominator = sum(df['col_name'].apply(lambda x: 0 if x==-1 else 1))
print(numerator/denominator)
Output 0.6
Output 0.6
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