iterrows(), iteritems(), itertuples()對dataframe進行遍歷

 

• iterrows(): 將DataFrame迭代為(insex, Series)對。
• itertuples(): 將DataFrame迭代為元祖。
• iteritems(): 將DataFrame迭代為(列名, Series)對

 

現有如下DataFrame數據：

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)

# 對於每一行，通過列名訪問對應的元素

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'))