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) Python Copy 示例4:对Da
Pandas | Applying a function to Multiple columns: In this tutorial, we will learn how can we apply a function to multiple columns in a DataFrame with the help of example?ByPranit SharmaLast updated : April 19, 2023 How to Apply a Function to Multiple Columns of DataFrame?
df_test[['size_kb', 'size_mb', 'size_gb']] = df_test.apply(sizes, axis=1, result_type="expand") 注意,诀窍在于apply的result_type参数,该参数将其结果展开为可以直接分配给新/旧列的DataFrame。 2018-03-09 19:24:17 只是另一种可读的方式。这段代码将添加三个新列及其值,在apply函数中返回...
importpandasaspd# 创建一个示例DataFramedf=pd.DataFrame({'A':[1,2,3],'B':[4,5,6]})# 定义一个函数,计算两列的和defsum_two_columns(row):returnrow['A']+row['B']# 使用apply函数df['Sum']=df.apply(sum_two_columns,axis=1)print(df) Python Copy Output: 示例代码2:根据条件创建新列 ...
In Pandas, the apply() function can indeed be used to return multiple columns by returning a pandas Series or DataFrame from the applied function. In this
运行apply函数,并记录该操作耗时: for col in df_data.columns: df_data[col] = df_data.apply(lambda x: apply_md5(x[col]), axis=1) 显示结果数据,df_data.head() 2. Polars测试 Polars特点: Polars库在io上优势明显,非常快; Polars是Rust编写的,内存模型是基于Apache Arrow,python只是一个前端的封装...
Python program to apply function that returns multiple values to rows in pandas DataFrame # Importing Pandas packageimportpandasaspd# Create a dictionaryd={'Num': [ iforiinrange(10)]}# Create DataFramedf=pd.DataFrame(d)# Display DataFrameprint("Original DataFrame:\n",df,"\n")# Defin...
现在,我们可以使用apply函数,将多列乘以同一列的数据。apply函数用于将一个函数应用于Pandas DataFrame的一行或一列数据。 sales['sales_pct']=sales[['sales','price','quantity']].apply(lambdarow:(row['sales']*row['price']*row['quantity'])/total_sales,axis=1) ...
You can specify multiple aggregation functions for different columns in a Pandas pivot table using theaggfuncparameter. Theaggfuncparameter allows you to define a dictionary that maps column names to the aggregation functions you want to apply. ...
将apply()函数应用于Pandas中的多个列？尝试使用以下代码，它应该会给出与在combined列上运行上述函数时...