DataFrame进行for循环

#方案一
for index,row in df.iterrows():
    a=row['A']
    b=row['cond']
#86 ms ± 5.51 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)

#方案二
for i in range(len(df)):
    b1=df.iloc[i]['A']
    b2=df.iloc[i]['cond']
#218 ms ± 26.9 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)

#方案三
for i in df.index:
    b1=df.iloc[i]['A']
    b2=df.iloc[i]['cond']
#238 ms ± 23.1 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)

更多方案 https://www.geeksforgeeks.org/different-ways-to-iterate-over-rows-in-pandas-dataframe/