importpandasaspd# 创建 DataFramedf=pd.DataFrame({'A':range(1,6),'B':[10*xforxinrange(1,6)],'C':['pandasdataframe.com'for_inrange(5)]})# 定义一个函数,操作多列defmodify_columns(row):row['A']=row['A']*100row['B']=row['B']+5returnrow# 应用函数到 DataFramedf=df.apply(mod...
This method shortens the length of the code as compared to the method above. The following code uses the lambda function along with the apply() function. 1 2 3 4 5 6 7 import pandas as pd import numpy as np dfa = pd.DataFrame([[3,3,3], [4,4,4], [5,5,5]], columns=['...
Python program to apply function to all columns on a pandas dataframe # Importing pandas packageimportpandasaspd# Creating two dictionariesd1={'A':[1,-2,-7,5,3,5],'B':[-23,6,-9,5,-43,8],'C':[-9,0,1,-4,5,-3] }# Creating DataFramedf=pd.DataFrame(d1)# Display the DataFr...
Python program to apply Pandas function to column to create multiple new columns # Importing Pandas packageimportpandasaspd# Create a dictionaryd={'Num': [ iforiinrange(10)]}# Create DataFramedf1=pd.DataFrame(d)# Display DataFrameprint("Original DataFrame:\n",df1,"\n")# Defining...
pandas apply函数应用于多个列 参考:pandas apply function to multiple columns 在数据分析和数据处理中,pandas库是Python中最常用和强大的工具之一。它提供了大量的功能来处理和分析数据,其中apply函数是一个非常灵活的工具,可以用来对DataFrame中的数据进行复杂的转换和操作。本文将详细介绍如何在pandas中使用apply函数对...
apply() 函数是 Pandas里面所有函数中自由度最高的函数。 DataFrame.apply() DataFrame.apply(func:functionaxis:{0or‘index’,1or‘columns’},default0raw:bool,defaultFalseresult_type:{‘expand’,‘reduce’,‘broadcast’,None},defaultNoneargs:tuple)Positionalargumentstopasstofuncinadditiontothearray/series...
help(df.apply) Help on method apply in module pandas.core.frame: apply(func, axis=0, raw=False, result_type=None, args=(), **kwds) method of pandas.core.frame.DataFrame instance Apply a function along an axis of the DataFrame. Objects passed to the function are Series objects whose ...
Apply a function along an axis of the DataFrame. 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``). By default (``result_type=None``), the final return type ...
func :function,应用到每行或每列的函数。 axis:{0 or 'index', 1 or 'columns'},默认 0 ,控制函数应用的数据轴。 0 or index:对每一列数据应用函数。 1 or columns:对每一行数据应用函数。 raw:bool,默认 False,控制行或列是以Series还是ndarray对象传递。
retained.Thedefaultbehaviour(None) dependsonthereturnvalueof the applied function: list-like results will be returnedasa Series of those. Howeverifthe apply function returns a Series these are expanded to columns. .. versionadded:: 0.23.0