pandas 迭代器中的返回值类型和熊猫中迭代器的列名打印
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type of return value in itertuples and print column names of itertuples in pandas
提问by user7786493
I have a DataFrame as follows:
我有一个 DataFrame 如下：
a b c d
0 0.140603 0.622511 0.936006 0.384274
1 0.246792 0.961605 0.866785 0.544677
2 0.710089 0.057486 0.531215 0.243285
I want to iterate the df with itertuples() and print the values and column names of each row. Currently I know the following method:
我想用 itertuples() 迭代 df 并打印每行的值和列名。目前我知道以下方法：
df=pd.DataFrame(np.random.rand(3,4),columns=['a','b','c','d'])
for item in df.itertuples():
print(item)
And the output is:
输出是：
Pandas(Index=0, a=0.55464273035498401, b=0.50784779485386233, c=0.55866384351761911, d=0.35969591433338755)
Pandas(Index=1, a=0.60682158587529356, b=0.37571390304543184,
c=0.13566419305411737, d=0.55807909125502775)
Pandas(Index=2, a=0.73260693374584385, b=0.59246381839030349, c=0.92102184020347211, d=0.029942550647279687)
Question:
题：
1) I thought the return data of each iteration is a tuple (as suggested by the function name) when the type(df) returns Pandas()?
1）当type（df）返回Pandas（）时，我认为每次迭代的返回数据是一个元组（如函数名称所示）？
2) What is the best way to extract the value of 'a', 'b', 'c', 'd' being the column names as I loop through the items of each row?
2）当我遍历每行的项目时，提取“a”、“b”、“c”、“d”作为列名的值的最佳方法是什么？
回答by ayhan
It's a named tuple.
这是一个命名元组。
To access the values of the named tuple, either by label:
要访问命名元组的值，可以通过标签：
for item in df.itertuples():
print(item.a, item.b)
or by position
或按职位
for item in df.itertuples():
print(item[1], item[2])
