Hi @jmcarpenter2,

Dear Swifter Folks,

Recently, i found the speed when using swifter is 5-10x slower than using vanilla pandas apply for case that the process is not vectorized (my case is doing text preprocessing).

The experiment is like this:

import pandas as pd
import swifter

def clean_text(text):
    text = text.strip()
    text = text.replace(' ', '_')
    retu

As a 3rd party developer there is a reasonable expectation of accuracy when reading the published api documentation and additional tools from same org keep valid URL’s and service references.

Expected:

• this repo and readme linked via Alpaca docs would be valid

Actual:

• GDAX still referenced working and dead links to this service (the coinbase pro rebrand > 1year ago)

Hi there, probably stupid question but is there any detailed doc of what kind of content the config json can contain? I see you can setup username and password for each kernel: is this an authentication against the livy server?
Is there a way to specify the address of the server?
Also, is it possible to customize the location of the config.json file?

Thanks!

Hi, would it be possible to make the user warnings display only when using pipes that actually depend on these imports? Or at least display them in a way that allows filtering out (with logging package perhaps)?

It's just a minor flaw on otherwise great package. Awesome work!

Minor, but it would be nice to update requirements.txt to reflect that the minimum supported pandas version is at least 0.20, since this is internally using https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.agg.html which was introduced in 0.20.

I just started using biopandas and it seems nice. Toward promoting discussion related to its design, I have a general question regarding the column names, particularly for df['ATOM']. Note that I work with simulations of molecular structures so I care most about the df['ATOM'] field.

Coming from using VMD for several years, I noticed many differences to access the PDB fields. I have not

Currently, the SeriesSchema object doesn't validate the index of the schema. The purpose of this task is to extend the __init__ signature of SeriesSchema to take an index argument, which would take a pa.Index or pa.MultiIndex. In the validate / __call__ call, the index should be checked.

This function here https://github.com/influxdata/influxdb-client-python/blob/62f93503044dbbd86443555ccfac5cfd8359f91a/influxdb_client/client/write/point.py#L130 assumes a passed datetime object to be in UTC format if no timezone is specified. I find this to be highly misleading. From the moment on I set the local timezone when I install an OS I want my system to accept local timezone data from me