Modin: Speed up your Pandas workflows by changing a single line of code
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Updated
Nov 3, 2020 - Python
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Modin: Speed up your Pandas workflows by changing a single line of code
Statistical Machine Intelligence & Learning Engine
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.
C# and F# language binding and extensions to Apache Spark
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;C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved
Read data from, write data to, and modify the formatting of Google Sheets
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?
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-taIs 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 [
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
A javascript library providing a new data structure for datascientists and developpers
Table analysis in Tkinter using pandas DataFrames.
Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).
A nimble options backtesting library for Python
Easy to use library to bring Tensorflow on Apache Spark
Immutable data frame for Go
A Rust DataFrame implementation, built on Apache Arrow
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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