I'm thinking of going with a UDF function by passing row from each dataframe to udf and compare column by column and return column list. However for that both the data frames should be in sorted order so that same id rows will be sent to udf. Sorting is costly operation here. Any sol...
the below code snippet will give you 2 dataframes one has rows inLeftButNotInRight and another one having InRightButNotInLeft. if you do a JOIN between both then you can apply some logic to identify the missing primary keys (where possible) and then those keys would constitute the deleted...
python data-science data spark numpy pandas pyspark compare dask dataframes fugue polars Updated Oct 16, 2024 Python Rhymond / product-compare-react Star 322 Code Issues Pull requests React Example - Product Compare Page react redux product bootstrap4 compare example-project react-example-ap...
Thecompare()method displays differences in a tabular format, showing columns with hierarchical indexing. Each column has two sub-columns (‘self’ and ‘other’) to represent the values in the first and second DataFrames, respectively. Differences are highlighted by displaying the differing values, ...
I just discovered a wonderful package for pyspark that compares two dataframes. The name of the package is datacompy https://capitalone.github.io/datacompy/ example code: import datacompy as dc comparison = dc.SparkCompare(spark, base_df=df1, compare_df=df2, join_columns=common_keys, match...