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
dataframe=spark.createDataFrame(data,columns) # show dataframe dataframe.show() 输出: 方法一:使用Filter() filter():它是一个根据SQL表达式或条件过滤列/行的函数。 语法:Dataframe.filter(Condition) where条件可以给定Logcal表达式/sql表达式 示例1:过滤单个条件 Python3实现 dataframe.filter(dataframe.college==...
Python code to filter dataframe based on index value# Importing pandas package import pandas as pd # Creating a Dictionary d = { 'State':['MP','RAJ','GUJ','WB','MH','TN'], 'Capital':['BHOPAL','JAIPUR','GANDHINAGAR','KOLKATA','MUMBAI','CHENNAI'], 'River':['NARMADA','LUNI',...
})# 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) importpandasaspd# 创建示例 DataFramedf = pd.DataFrame({'A': [1,2,3],'B': [4,5,6],'C': [7,8,9] })# 筛选列名中包含 'A' 的列...
Pandas DataFrame sample data Filter rows on the basis of single column data Filter rows on the basis of multiple columns data Filter rows on the basis of list of values Filter rows on the basis of values not in the list Sometimes, you may want to find a subset of data based on certain...
In PySpark, the DataFrame filter function, filters data together based on specified columns. For example, with a DataFrame containing website click data, we may wish to group together all the platform values contained a certain column. This would allow us to determine the most popular browser ty...
To filter columns based on index values in Pandas, you can use the.loc[]accessor. For example,index_values_to_keepis a list containing the index values of the columns you want to include in the filtered DataFrame. Thelocaccessor is used with a colon:for the rows (indicating all rows) ...
If filter by attribute value is selected, select the name of the column whose value should be matched. If the selected column is a collection column the filter based on collection elements option allows to filter each row based on the elements of the collection instead of its string representat...
EXAMPLE 2: retrieve multiple columns from a Pandas DataFrame In this example, we’re going to retrieve multiple columns from the DataFrame. The code will be very similar. We need to type the name of the DataFrame, and then call the filter method with “dot” notation. ...
Pandas Series - filter() function: The filter() function is used to subset rows or columns of dataframe according to labels in the specified index.