Python pandas列转类型,列相加 减

• 二维数组 

import pandas as pd
df = pd.DataFrame([
    ['f','1','asd'],
    ['e','asds',None],
    ['d',3,5],
    ['c','4',6],
    ['b',None,7],
    ['a',6,'8'],
])
df.columns=['A','B','C']
print(df)

• 转化B,C列为数值类型 

# 如果不能转换则值为空NaN
df[['B','C']] = df[['B','C']].apply(pd.to_numeric,errors='coerce')
# 将NaN用0替换
df = df.fillna(0)

• 差值计算

df['差值'] = df['B'] -df['C']
df['C差值'] = df['C'] - df['差值']

print(df)

• 0在替换为空

import numpy as np
df = df.replace(0,np.nan)
print(df)