I am trying to sort a pandas dataframe block-wise without changing the order within blocks.The dataframe contains forum posts, timestamps, and thread names. I have already sorted the dataframe such that all posts belonging to the same thread are in the right order using df.sort_values(['thread','timestamp'],inplace=True). I now want to sort...

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How could I use a multidimensional Grouper, in this case another dataframe, as a Grouper for another dataframe? Can it be done in one step?

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I'm trying to extract grouped row data to use values to plot it with label colors another file.my dataframe is like below.

## Cross tabulate counts between pairs of keywords per group with pandas

I have a table with keywords associated with articles, looks like this:I need to get a sort of a pivot table:

## Pandas Groupby using multiple criteria on different axis

I have a df DataFrame like : And I want to group all columns X with X_ for all letters A,B,... (let's say, the group is called X as well), and group as well using COMMON. I would like to apply later function like std() to all the grouped values.

## Number of unique pairs within one column – pandas

I am having a little problem with producing statistics for my dataframe in pandas. My dataframe looks like this (I omit the index):

## pandas – how to get last n groups of a groupby object and combine them as a dataframe

How to get last 'n' groups after df.groupby() and combine them as a dataframe. After doing grouped.ngroups i am getting total number of groups 277. I want to combine last 12 groups and generate a dataframe.

## Conditionally offseting values by group with Pandas

I am looking for a more efficient and maintainable way to offset values conditionally by group. Easiest to show an example.

## Faster alternative to perform pandas groupby operation

I have a dataset with name(person_name), day and color(shirt_color) as columns Each person wears a shirt with a certain color on a particular day (number of days can be arbitrary)

## pandas groupby aggregate element-wise list addition

I have a pandas dataframe that looks as follows:I want to perform an aggregate groupby that adds the lists stored in the Y columns element-wise. Code I have tried: