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',...
importpandasaspd# 创建 DataFrame 并设置索引df = pd.DataFrame({'A': [1,2,3],'B': [4,5,6],'C': [7,8,9] }, index=['row1','row2','row3'])# 保留指定行 'row1' 和 'row3'filtered_df = df.filter(items=['row1','row3'], axis=0) print(filtered_df)...
Filter rows on the basis of list of values You can also filter DataFrames by putting condition on the list of values. Let’s say you want to filter employees DataFrame based on list of Names. If Name is in the list, then include that row. 1 2 3 4 5 6 7 8 9 10 11 12 13 14...
This program filters rows from the DataFramedfbased on the specified index value2. The resulting DataFramedf2will contain only the row with index value2. # Pandas filter() by index df2= df.filter(items = [2], axis=0) print(df2) # Output: # Courses Fee Duration Discount # 2 Hadoop 300...
DataFrame.Filter 方法 参考 反馈 定义 命名空间: Microsoft.Data.Analysis 程序集: Microsoft.Data.Analysis.dll 包: Microsoft.Data.Analysis v0.23.0-preview.1.25125.4 重载 展开表 Filter(PrimitiveDataFrameColumn<Int64>) 使用 中的行索引返回新的数据帧rowIndices ...
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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...
mtcars$car=rownames(mtcars) mtcars <- mtcars[, c(12, 1:11)] 1)gather函数:将宽数据变成长数据格式,类似于reshape2中的melt函数 gather(data, key, value, ..., na.rm = FALSE, convert = FALSE) mtcarsNew <- mtcars %>% gather(attribute, value, -car) ...
Here, we used theaxisparameter to indicate that we want to filter the rows, and we indicated that we want to retrieve the row at index 1. Again, you can only retrieve rows this way by index value, not by conditional statements based on the internal data of the DataFrame. ...
Theidvalue of the row is greater than1. Theexperiencevalue of the row is equal to2. If either condition is met, the row gets added to the resultingDataFrameon which we callpivot_table(). #Pass the filteredDataFramein the call topandas.pivot_table ...