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...
['B'] new_column2 = row['B'] - row['C'] return pd.Series([new_column1, new_column2]) # 使用apply函数将函数应用于每一行 new_columns = df.apply(custom_function, axis=1) # 将新列添加到原始DataFrame中 df['New Column 1'] = new_columns[0] df['New Column 2'] = new_columns[...
20,30],'C':['pandasdataframe.com','modify','columns']})# 定义一个函数,如果数值大于10,加10defadd_ten(x):returnx+10ifx>10elsex# 对'A'和'B'列应用条件函数df[['A','B']]=df[['A','B']].applymap(add_ten)print(df)
How to Apply a Function to Multiple Columns of DataFrame?To apply a function to multiple columns of a Pandas DataFrame, you can simply use the DataFrame.apply() method by specifying the column names. The method itself takes a function as a parameter that has to be applied on the columns....
2. axis: 默认是0 0 or ‘index’:函数按列处理(apply function to each column) 1 or ‘columns’:函数按行处理( apply function to each row) # 只处理指定行、列,可以用行或者列的 name 属性进行限定df5=df.apply(lambdad:np.square(d)ifd.name=="a"elsed,axis=1)print("-"*30,"\n",df5)...
2 0.0 Name: col_three, dtype: float64 最后,你可以通过apply()函数一次性对整个DataFrame使用这个函数: df = df.apply(pd.to_numeric, errors='coerce').fillna(0) df 仅需一行代码就完成了我们的目标,因为现在所有的数据类型都转换成float: df.dtypes ...
axis是apply中的参数,axis=1表示将函数用在行,axis=1则是列。 这里的lambda可以用(df_duplicates.bottomSalary + df_duplicates.topSalary)/2替代。 到此,数据清洗的部分完成。切选出我们想要的内容进行后续分析(大家可以选择更多数据)。 先对数据进行几个描述统计。 value_counts是计数,统计所有非零元素的个数,...
2、apply 向量化还允许对列应用自定义函数。假设你想计算一列中每个元素的平方: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importpandasaspd data={'A':[1,2,3]}df=pd.DataFrame(data)# Define a customfunctiondefsquare(x):returnx**2# Applying the'square'functionto the'A'column ...
Whenever we want to perform some operation on the entire DataFrame, we either use apply method. It is used on the grouped objects in pandas DataFrame. The apply() method Theapply()method passes the columns of each group in the form of a DataFrame inside the function which is descri...
2 James, William Pandas 22000 James William 3 Addem, Smith Hadoop 25000 Addem Smith 6. Use apply() Function Split Column into Two Columns In Pandas In Pandas, theapply()function is used to execute a function that can be used to split one column value into multiple columns. For that, ...