从各列构建一个列表，然后删除您不想为其计算Z分数的列：
In [66]:cols = list(df.columns)cols.remove('ID')df[cols]Out[66]: Age BMI Risk Factor0 6 48 19.3 41 8 43 20.9 NaN2 2 39 18.1 33 9 41 19.5 NaNIn [68]:# now iterate over the remaining columns and create a new zscore columnfor col in cols: col_zscore = col + '_zscore' df[col_zscore] = (df[col] - df[col].mean())/df[col].std(ddof=0)dfOut[68]: ID Age BMI Risk Factor Age_zscore BMI_zscore Risk_zscore 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
