更新时间:2023-02-10 13:07:22
从列中构建一个列表并删除您不想为其计算 Z 分数的列:
Build a list from the columns and remove the column you don't want to calculate the Z score for:
In [66]:
cols = list(df.columns)
cols.remove('ID')
df[cols]
Out[66]:
Age BMI Risk Factor
0 6 48 19.3 4
1 8 43 20.9 NaN
2 2 39 18.1 3
3 9 41 19.5 NaN
In [68]:
# now iterate over the remaining columns and create a new zscore column
for col in cols:
col_zscore = col + '_zscore'
df[col_zscore] = (df[col] - df[col].mean())/df[col].std(ddof=0)
df
Out[68]:
ID Age BMI Risk Factor Age_zscore BMI_zscore Risk_zscore
0 PT 6 48 19.3 4 -0.093250 1.569614 -0.150946
1 PT 8 43 20.9 NaN 0.652753 0.074744 1.459148
2 PT 2 39 18.1 3 -1.585258 -1.121153 -1.358517
3 PT 9 41 19.5 NaN 1.025755 -0.523205 0.050315
Factor_zscore
0 1
1 NaN
2 -1
3 NaN