dataframe行循环5种方法

1、下标循环

df1 = df
for i in range(len(df)):
    if df.iloc[i]['test'] != 1:
        df1.iloc[i]['test'] = 0

2、Iterrows循环

i = 0
for ind, row in df.iterrows():
    if row['test'] != 1:
        df1.iloc[i]['test'] = 0
    i += 1

3、Apply循环

df1['test'] = df['test'].apply(lambda x: x if x == 1 else 0)

lamda函数使用链接。
4、Pandas内置向量化函数

res = df.sum()

5、Numpy向量化函数

df_values = df.values
res = np.sum(df_values)

参考：https://blog.csdn.net/weixin_39744230/article/details/112113712