Since we are working on #732 and adding a Concurrent.Futures backend we should add documentation on how to use it.

As listed in https://docs.scipy.org/doc/scipy/reference/special.html#bessel-functions, we can implement the universal functions in the list first.

Implement Series.reindex.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.reindex.html

UPDATE FROM MAINTAINERS: ANYBODY WHO IS INTERESTED IN THIS ISSUE, PLEASE SEE THIS COMMENT FOR PROPOSED CODE.

Brief Description

clean_names method does not work when an integer is used as column name

Minimally Reproducible Code

rankings = {
    "countries_to_play_cricket": [
        "Indi

Hi,

Pdpipe is marvelous, very nice tool!

One addon possibility that I was wondering:
In case of time series, de-trending is a common operation, done by taking the first differential of the data eg. with pd.DataFrame.diff(1). The problem with this is, that the initial value gets dropped and there is no easy way to "back transform".
Here a "fittable", Scikit like transformer could come in

This is for when the deploy script is run and the user forgets to bump the version first, a mistake I frequently make.

Any plans to get this into DefinitelyTyped?

Originally posted by @danielgwilson in Gmousse/dataframe-js#43 (comment)

In order to update https://bluenote10.github.io/NimData/nimdata.html I tried running build_docs.sh, but ran into the following Nim doc gen issues:

• nim-lang/Nim#6071
• nim-lang/Nim#8952
• nim-lang/Nim#9444

The following command is somewhat working, besides the missing dochack.js and with the `git.c

This ticket is meant to evaluate the current documentation against tests. Make sure the tests and examples are consistent. If there is a difference, not them below in a comment. Then create a pull request for each one, or all of them.

Current documentation

When reading the data from DB and converting it to a pandas Dataframe, we are currently using:

        results = self.db.cursor().fetchall()
        return pandas.DataFrame(list(results), columns=self.columns())

https://github.com/instacart/jardin/blob/master/jardin/database/__init__.py#L79

It is working fine, except the data types are not correctly carried over.
Example, in the