如何在Pandas的DataFrame中的行上进行迭代？ - How to iterate over rows in a DataFrame in Pandas?

问题：

I have a DataFrame from pandas: 我有一个来自熊猫的DataFrame ：

import pandas as pd
inp = [{'c1':10, 'c2':100}, {'c1':11,'c2':110}, {'c1':12,'c2':120}]
df = pd.DataFrame(inp)
print df

Output: 输出：

c1   c2
0  10  100
1  11  110
2  12  120

Now I want to iterate over the rows of this frame. 如今，我要遍历该框架的行。 For every row I want to be able to access its elements (values in cells) by the name of the columns. 对于每一行，我但愿可以经过列名访问其元素（单元格中的值）。 For example: 例如：

for row in df.rows:
   print row['c1'], row['c2']

Is it possible to do that in pandas? 熊猫有可能这样作吗？

I found this similar question . 我发现了相似的问题 。 But it does not give me the answer I need. 但这并不能给我我所需的答案。 For example, it is suggested there to use: 例如，建议在那里使用：

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

or 要么

for row in df.iterrows():

But I do not understand what the row object is and how I can work with it. 可是我不明白什么是row对象以及如何使用它。

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解决方案：

参考一： https://stackoom.com/question/178Oq/如何在Pandas的DataFrame中的行上进行迭代
参考二： https://oldbug.net/q/178Oq/How-to-iterate-over-rows-in-a-DataFrame-in-Pandas