对数据帧的每一行应用一个函数 [英] apply a function to each row of the dataframe

问题描述

下面有什么更优雅的实现方式?

What is a more elegant way of implementing below?

我想应用一个函数:my_function 到一个数据帧，其中数据帧的每一行都包含函数的参数.然后我想将函数的输出写回数据帧行.

I want to apply a function: my_function to a dataframe where each row of the dataframe contains the parameters of the function. Then I want to write the output of the function back to the dataframe row.

results = pd.DataFrame()
for row in input_panel.iterrows():
    (index, row_contents) = row
    row_contents['target']  = my_function(*list(row_contents))
    results = pd.concat([results, row_contents])

推荐答案

我们将遍历这些值并在最后构建一个 DataFrame.

We'll iterate through the values and build a DataFrame at the end.

results = pd.DataFrame([my_function(*x) for x in input_panel.values.tolist()])

不太推荐的方法是使用DataFrame.apply:

The less recommended method is using DataFrame.apply:

results = input_panel.apply(lambda x: my_function(*x))

apply 的唯一优点是少打字.

The only advantage of apply is less typing.

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