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Nov 3, 2020 - Python
dataframe
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Nov 2, 2020 - Java
- "Conclusion" section of "Getting started with Tablesaw" page contains broken link to "Java Docs".
https://jtablesaw.github.io/tablesaw/gettingstarted#conclusion - "Exploring tables" section of "Getting started with Tablesaw" page contains broken link to "plotting".
https://jtablesaw.github.io/tablesaw/gettingstarted.html#exploring-tables
Support Series.median()
The plotly plots on my macbook on Ubuntu 20.04 and pandasgui 0.2.3.2 have very tiny font. Wondering if there's a way to change this.. See pic below.
A Tensorflow based function to calculate Corr for series and columns, similar to Pandas Corr function.
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Oct 13, 2020 - C#
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;
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Instructions for how to install pyjanitor via pipenv
Some folks might use pipenv for environment management. The recent update requires a prerelease dependency (black, as menti
I'm using black and isort for other projects (see e.g. https://github.com/hyperopt/hyperopt/pull/748/files) and find them quite useful to have more consistent codebase. I think you should drop python3.5 support though, as black is python3.6+. Is this something you would be open to consider?
Add Renko
Which version are you running? The lastest version is Github. Pip is for major releases.
import pandas_ta as ta
print(ta.version)
Upgrade.
$ pip install -U git+https://github.com/twopirllc/pandas-ta
Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is. Ex. I'm always frustrated when [
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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