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iterrows(), iteritems(), itertuples()对dataframe进行遍历 #22

Open ljk99 opened 2 years ago

ljk99 commented 2 years ago

https://www.cnblogs.com/keye/p/9673393.html

iterrows(): 将DataFrame迭代为(insex, Series)对。 itertuples(): 将DataFrame迭代为元祖。 iteritems(): 将DataFrame迭代为(列名, Series)对

现有如下DataFrame数据:

import pandas as pd

inp = [{'c1':10, 'c2':100}, {'c1':11, 'c2':110}, {'c1':12, 'c2':123}] df = pd.DataFrame(inp)

print(df)

iterrows():

for date, row in df.iterrows(): print(date)

for date, row in df.iterrows(): print(row)

对于每一行,通过列名访问对应的元素

for date, row in df.iterrows(): print(row['c1'], row['c2'])

iteritems():

for date, row in df.iteritems(): print(date)

for date, row in df.iteritems(): print(row)

for date, row in df.iteritems(): print(row[0], row[1], row[2])

itertuples():

for row in df.itertuples():   print(row)

for row in df.itertuples(): print(getattr(row, 'c1'), getattr(row, 'c2'))