# 打印透视表print(pivot_table)# 使用 margins 进行总计pivot_table_with_margins = pd.pivot_table( df, values='薪资', # 要汇总的列名 index='部门', # 行索引的列名 columns='职位', # 列索引的列名 aggfunc='sum', # 聚合函数 margins=True, # 添加总计行和列 marg...
对数据聚合,我测试了 DataFrame.groupby 和DataFrame.pivot_table 以及 pandas.merge ,groupby 9800万行 x 3列的时间为99秒,连接表为26秒,生成透视表的速度更快,仅需5秒。 df.groupby(['NO','TIME','SVID']).count() # 分组 fullData = pd.merge(df, trancodeData)[['NO','SVID','TIME','CLASS',...
In the next part, we define a data frame for the input data set. We have a pivot_table Python function for creating a pivot table from input data 在下一部分中,我们为输入数据集定义一个数据框。 我们有一个pivot_table Python函数从输入数据创建数据透视表 In data.pivot_table, we define indexe...
pivot_table=pd.pivot_table(df,values=['Sales','Profit'],index='Product',columns='Region',aggfunc='sum') 1. The resulting pivot table will have the product names as row labels, the region names as column labels, and the sum of sales and profit for each product-region combination as val...
Python program for pivot table with aggfunc=count unique distinct # Importing pandas packageimportpandasaspd# Creating a Dictionaryd={'A': ['Amit','Amit','Ashish','Ashish'],'B': ['Bablu','Bablu','Bobby','Bhanu'],'C': ['Chetan','Chirag','Chiranjeev','Chetna'] }# Creating a DataF...
官方文档参考:Jupyter Notebook Viewer 其他文档参考:Pandas_聚合数据_pivot_table()_Python_学习笔记-CSDN博客 pd.pivot_table(data, values=None, index=None, columns=None, aggfunc='mean', fill_value=None, margins=False, dropna=Tr...Excel数据透视表:分组数据透视表项 对产品进行分组 产品字段包含7个...
pivot table dogs.pivot_table(index='size', columns='kids', values='price') melting dogs.melt() pivoting dogs.pivot(index='size', columns='kids') stacking column index dogs.stack() unstacking row index dogs.unstack() resetting index dogs.reset_index() setting index dogs.set_index('breed...
date_rangedescribe_option errors eval factorize get_dummiesget_option infer_freq interval_range io isnaisnull json_normalize lreshape melt mergemerge_asof merge_ordered notna notnull offsetsoption_context options pandas period_range pivotpivot_table plotting qcut read_clipboard read_csvread_excel read...
关于动态条形图,小F以前推荐过「Bar Chart Race」这个库。三行代码就能实现动态条形图的绘制。 有些同学在使用的时候,会出现一些错误。一个是加载文件报错,另一个是生成GIF的时候报错。 这是因为作者的示例是网络加载数据,会读取不到。通过读取本地文件,就不会出错。
The pd.pivot_table() method method is used to reshape the given DataFrame according to index and column values. It is used when we have multiple items in a column, we can reshape the DataFrame in such a way that all the multiple values fall under one single index or row, similarly, ...