In this chapter, we will discuss how to slice and dice the date and generally get the subset of pandas object. The Python and NumPy indexing operators "[ ]" and attribute operator "." provide quick and easy access to Pandas data structures across a wide range of use cases. However, since the type of ...
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Nov 24, 2020 · The drop_duplicates() method looks at the values in the DataFrame's 'id' column and deletes any row with a duplicate id. Clean up after the merge The two original DataFrames have a column named 'id'. You can't have two columns with the same name in the merged DataFrame, so pandas adds a '_x' and a '_y' suffix to the overlapping column names.
One particular option while remaining Pandas-level would be (tra_df.groupby(tra_df.columns.tolist()) .size() .reindex(tst_df.values.T.tolist(), fill_value=0) This should offer you an enormous performance boost, which could be further improved with a NumPy vectorized solution, depending on what you're satisfied with.