pd.concat()is especially useful when you have data in different DataFrame or Series objects but want to analyze it as one entity. It provides great flexibility in how the objects are combined together based on your specific requirements. However, when concatenating multiple data frames, merge woul...
concat([df1,df2,df3,df4]) pd.concat([df1,df3,df5]) Issue Description pd.concat() can concatenate 3 multi-index dataframes when they have 2 frequencies, but cannot concatenate 4 dataframes. Expected Behavior pd.concat() should be able to concatenate a list of mixed-freq multiindex data...
DataFrames consist of rows, columns, and data.pd.Series.isin() performance with set versus arrayAn amazing fact about the series isin() method is that it uses O(1) look-up per element. A Cython prototype would be the best approach to understand how easily it can beat the fastest out-...