如何用python中的nan替换空序列值

pd.DataFrame.select_dtypes 以下内容:

numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64']

numeric_cols = df.select_dtypes(include=numerics).columns

for col in df:
    if col in numeric_cols:
        # calculate & add some values to dictionary
    else:
        # add NA values to dictionary

try:
   # whatever you do that might rise an IndexError
except IndexError:
   # append NA to dict

df[df['col'] == ''] = np.nan

希望这有帮助。