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  • How to use . agg method to calculate the column average in pandas
    df["one"] agg("mean") df agg({"one": "mean"}) df["one"] agg(np mean) df agg({"one": np mean}) Looking at the source code, it appears that when you use average it's casting the DataFrame to be a numpy array, and then mean is taking the row-wise averages by default Because in the base case (no weights) average actually calls mean See
  • Get unique values using STRING_AGG in SQL Server
    Another possibility to get unique strings from STRING_AGG would be to perform these three steps after fetching the comma separated string: Split the string (STRING_SPLIT) Select DISTINCT from the splits; Apply STRING_AGG again to a select with a group on a single key; Example:
  • Aggregating in pandas groupby using lambda functions
    data = data groupby(['type', 'status', 'name']) agg( ) If you don't mention the column (e g 'value'), then the keys in dict passed to agg are taken to be the column names The KeyErrors are Pandas' way of telling you that it can't find columns named one, two or test2 in the DataFrame data Note: Passing a dict to groupby agg has been
  • Pandas groupby agg - how to get counts? - Stack Overflow
    I am trying to get sum, mean and count of a metric df groupby(['id', 'pushid']) agg({"sess_length": [ np sum, np mean, np count]}) But I get "module 'numpy' has no
  • Matplotlib Backend Differences between Agg and Cairo
    Is it possible to produce small PDF (i e presumably without interpolating the raster image to a higher resolution) using the Agg backend? Can one change some text settings for the Cairo backend such that it looks similar to ordinary TeX (which is the case for the Agg backend) Here is some example code for test purposes:





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