Objects passed to the function are Series objects whose index is either the DataFrame's index (``axis=0``) or the DataFrame's columns(``axis=1``). 传递给函数的对象是Series对象,其索引是DataFrame的索引(axis=0)或DataFrame的列(axis=1)。 By default (``result_type=None``), the final ret...
is inferred from the return type of the applied function. Otherwise, it depends on the `result_type` argument. """ 通过函数介绍,我们知道了以下信息: apply会将自定义的func函数应用在dataframe的每列或者每行上面。 func接收的是每列或者每行转换成的一个Series对象,此对象的索引是行索引(对df每列操作...
*'broadcast': results will be broadcast to the original shape of the DataFrame, the original indexandcolumns will be retained.Thedefaultbehaviour(None) dependsonthereturnvalueof the applied function: list-like results will be returnedasa Series of those. Howeverifthe apply function returns a Series...
DataFrame, apply_func: callable, window: int, return_col_num: int, **kwargs): """ rolling with multiple columns on 2 dim pd.Dataframe * the result can apply the function which can return pd.Series with multiple columns call apply function with numpy ndarray :param return_col_num: 返回...
将返回的DataFrame赋值给原始的DataFrame。 示例代码: 代码语言:txt 复制 import pandas as pd # 定义一个函数,该函数将在每一行中应用 def my_function(row): return pd.Series([row['column1'] * 2, row['column2'] * 3]) # 创建一个DataFrame data = {'column1': [1, 2, 3], 'column2'...
on:'IndexLabel | None'=None,# 用于连接的键（即列标签名），该键必须存在于左右两个DataFrame中。
Pandas DataFrame - apply() function: The apply() function is used to apply a function along an axis of the DataFrame.
Use .apply with axis=1 to send every single row to a function You can also send an entire row at a time instead of just a single column. Use this if you need to use multiple columns to get a result. # Create a dataframe from a list of dictionaries rectangles = [...
Apply function to Series and DataFrame using .map() and .applymap() Applying a function to a pandas Series or DataFrame¶ In [1]: importpandasaspd In [4]: url='http://bit.ly/kaggletrain'train=pd.read_csv(url)train.head(3)
Another frequent operation is applying a function on 1D arrays to each column or row. DataFrame’s apply method does exactly this: 1. 译文:另一常见操作是将一维数组上的函数应用于每一列或每一行。 DataFrame的apply方法正是这样做的: In [116]: frame = DataFrame(np.random.randn(4, 3), columns...