Hello,
Considering your amazing efficiency on pandas, numpy, and more, it would seem to make sense for your module to work with even bigger data, such as Audio (for example .mp3 and .wav). This is something that would help a lot considering the nature audio (ie. where one of the lowest and most common sampling rates is still 44,100 samples/sec). For a use case, I would consider vaex.open('Hu

Implement Series.reindex.

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

1. "Conclusion" section of "Getting started with Tablesaw" page contains broken link to "Java Docs".
   https://jtablesaw.github.io/tablesaw/gettingstarted#conclusion
2. "Exploring tables" section of "Getting started with Tablesaw" page contains broken link to "plotting".
   https://jtablesaw.github.io/tablesaw/gettingstarted.html#exploring-tables

Support DataFrame.select_dtypes

Update the TPCH example to support query 6:

select
	sum(l_extendedprice * l_discount) as revenue
from
	lineitem
where
	l_shipdate >= date ':1'
	and l_shipdate < date ':1' + interval '1' year
	and l_discount between :2 - 0.01 and :2 + 0.01
	and l_quantity < :3;

Brief Description

Following up on #703, this issue seeks to introduce the ability to test whether in each column in a data frame the change between every two rows is within a user-defined range of values.

I would like to propose..

Example API

import pandas as pd
import numpy as np

# Create a random data frame
df = pd.DataFrame(data=[["2015-01-01 00:00:00", -0.76, 2, 2, 

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!

Hi, twopirllc,
I find that you maintain pandas-ta very diligent. Thank you for your work.
I find a indicator is useful, SMIIO, SMI Ergodic Indicator/Oscillator.
https://www.tradingview.com/chart/LOCO/wsKsWzWo-Momentum-based-SMIIO-Indicator/
yes, I find Stochastic in pandas-ta, I think Stochastic is too sensitive.
I tried to code SMIIO but not success.
Could you add SMIIO to pandas-t

https://docs.python.org/3/library/sys.html#sys.getsizeof