1)按列名过滤(使用 items 参数) importpandasaspd# 创建示例 DataFramedf = pd.DataFrame({'A': [1,2,3],'B': [4,5,6],'C': [7,8,9] })# 保留指定列 'A' 和 'B'filtered_df = df.filter(items=['A','B'], axis=1) print(filtered_df) 2)按列名包含的子字符串过滤(使用like参数) ...
DataFrame """ importpandasaspd """ Filter rows or columns, 2018.07.27 """ data_1 = {'name': ['Jason','Molly','Tina','Jake','Amy'], 'year': [2012,2012,2013,2014,2014], 'reports': [4,24,31,2,3], 'coverage': [25,94,57,62,70]} df_1 = pd.DataFrame(data_1, index =...
frompyspark.sqlimportSparkSession# 创建Spark Sessionspark=SparkSession.builder \.appName("PySpark Filter Example")\.getOrCreate()# 创建一个示例DataFramedata=[(1,"Alice",29),(2,"Bob",31),(3,"Cathy",24),(4,"David",35),(5,"Eva",28)]columns=["Id","Name","Age"]df=spark.createData...
frompyspark.sqlimportSparkSessionfrompyspark.sql.functionsimportcol# 创建Spark会话spark=SparkSession.builder \.appName("String Filter Example")\.getOrCreate()# 创建示例数据data=[("Alice",34),("Bob",45),("Catherine",29),("David",42)]columns=["Name","Age"]# 创建DataFramedf=spark.createData...
The Pandas filter method is best used to select columns from a DataFrame. Filter can select single columns or select multiple columns (I’ll show you howin the examples section). Again, filter can be used for a very specific type of row filtering, but I really don’t recommend using it...
这个例子展示了如何使用loc方法来筛选类别为’A’的行。 2.3 使用query方法进行筛选 query方法提供了一种更直观的方式来筛选数据。 importpandasaspd# 创建示例数据data={'website':['pandasdataframe.com','pandasdataframe.com','example.com','example.com'],'category':['A','B','A','B'],'visits':[...
Given a Pandas DataFrame, we have to filter it by multiple columns. Submitted by Pranit Sharma, on June 23, 2022 Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of ...
Given a Pandas DataFrame, we have to filter its columns based on whether they are of type date or not.ByPranit SharmaLast updated : September 27, 2023 Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside panda...
这非常方便,因为我们不必颠倒数据的顺序。...图5 计算两列之间的差还可以通过将axis参数设置为1(或“columns”)来计算数据框架中各列之间的差异。pandas中的axis参数通常具有默认值0(即行)。 4.8K31 【Go】根据身份证(或生日)计算年龄 实例说明我们计算用户的年龄,当然只能根据用户的出生年月日信息来计算。这里...
By using the regex parameter of theDataFrame.filter()method, we can filter the DataFrame by certain columns. The below example shows the same. #importing pandas as pd import pandas as pd #creating DataFrame df=pd.DataFrame({"Name":["Navya","Vindya","Sinchana","Amrutha","Akshatha"],"Age...