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dplyr-style piping operations for pandas dataframes

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Hi kieferk, I am an R user learning how to use ```dfply```. I may have spotted an issue: it appears that Boolean ```~``` isn't evaluated after Boolean ```|``` if applied...

I have a list of variables which I want to pass it as list in summarize_each. So I did this ``` var_list = ["x", "y,",z] df >> group_by(X.a) >> summarize_each...

While the function has been implemented already, there was no documentation yet. This PR adds the documentation for this very convenient function.

Hello, I'm running the following code: ``` test=(diamonds>> group_by(X.cut)>> summarise(dis=n_distinct(X.price))>> arrange(X.dis,ascending=False)) ``` I'm trying to create a new variable with the Summarise function and arrange according to it afterwards, but...

Hi, cool tool!! I was looking for that since a way, happy to work with it, keep it up. Question: Is there a way to use the join (outer_join for...

I'm running across errors when I try to use numpy or math functions (e.g., sqrt, log, etc) inside dfply verbs. Here's a minimal example: ```python import pandas as pd from...

Why do not we have mutate_at in the dfply?

Hi, I am new to piping but I really want to start working using pipes. I have a dataframe in which one of the column is country names. I want...

Hi All, I am summarizing a DF which contains both numeric and categorical variables. Have faced below challenges while using group_by and summarize functions, 1. While trying to measure the...

I'm having this same issue still: https://github.com/kieferk/dfply/issues/8 -I am using conda to install dfply (which I need to because that's the package manager used by the computing cluster I have...