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)
0
1
2
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'))
