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Explore all Pandas open source software, libraries, packages, source code, cloud functions and APIs.

Popular New Releases in Pandas

scikit-learn

scikit-learn 1.0.2

pandas

Pandas 1.4.1

streamlit

1.8.1

seaborn

v0.11.2 (August 2021)

notebook

v7.0.0a2

scikit-learn

scikit-learn 1.0.2

pandas

Pandas 1.4.1

streamlit

1.8.1

seaborn

v0.11.2 (August 2021)

notebook

v7.0.0a2

Popular Libraries in Pandas

scikit-learn

by scikit-learn python

star image 49728 BSD-3-Clause

scikit-learn: machine learning in Python

pandas

by pandas-dev python

star image 33259 BSD-3-Clause

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

PythonDataScienceHandbook

by jakevdp jupyter notebook

star image 32215 NOASSERTION

Python Data Science Handbook: full text in Jupyter Notebooks

streamlit

by streamlit python

star image 18692 Apache-2.0

Streamlit — The fastest way to build data apps in Python

Complete-Python-3-Bootcamp

by Pierian-Data jupyter notebook

star image 17053

Course Files for Complete Python 3 Bootcamp Course on Udemy

handson-ml2

by ageron jupyter notebook

star image 16775 Apache-2.0

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

pydata-book

by wesm jupyter notebook

star image 15489 NOASSERTION

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

tushare

by waditu python

star image 11075 BSD-3-Clause

TuShare is a utility for crawling historical data of China stocks

dask

by dask python

star image 9771 BSD-3-Clause

Parallel computing with task scheduling

scikit-learn

by scikit-learn python

star image 49728 BSD-3-Clause

scikit-learn: machine learning in Python

pandas

by pandas-dev python

star image 33259 BSD-3-Clause

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

PythonDataScienceHandbook

by jakevdp jupyter notebook

star image 32215 NOASSERTION

Python Data Science Handbook: full text in Jupyter Notebooks

streamlit

by streamlit python

star image 18692 Apache-2.0

Streamlit — The fastest way to build data apps in Python

Complete-Python-3-Bootcamp

by Pierian-Data jupyter notebook

star image 17053

Course Files for Complete Python 3 Bootcamp Course on Udemy

handson-ml2

by ageron jupyter notebook

star image 16775 Apache-2.0

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

pydata-book

by wesm jupyter notebook

star image 15489 NOASSERTION

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

tushare

by waditu python

star image 11075 BSD-3-Clause

TuShare is a utility for crawling historical data of China stocks

dask

by dask python

star image 9771 BSD-3-Clause

Parallel computing with task scheduling

Trending New libraries in Pandas

polars

by pola-rs rust

star image 5341 MIT

Fast multi-threaded DataFrame library in Rust | Python | Node.js

lux

by lux-org python

star image 3417 Apache-2.0

Automatically visualize your pandas dataframe via a single print! 📊 💡

evidently

by evidentlyai python

star image 2268 Apache-2.0

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

sweetviz

by fbdesignpro python

star image 1597 MIT

Visualize and compare datasets, target values and associations, with one line of code.

tda-api

by alexgolec python

star image 958 MIT

A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.

pygooglenews

by kotartemiy python

star image 933 MIT

If Google News had a Python library

Fast-F1

by theOehrly python

star image 764 MIT

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

DataProfiler

by capitalone python

star image 747 Apache-2.0

What's in your data? Extract schema, statistics and entities from datasets

ppscore

by 8080labs python

star image 663 MIT

Predictive Power Score (PPS) in Python

polars

by pola-rs rust

star image 5341 MIT

Fast multi-threaded DataFrame library in Rust | Python | Node.js

lux

by lux-org python

star image 3417 Apache-2.0

Automatically visualize your pandas dataframe via a single print! 📊 💡

evidently

by evidentlyai python

star image 2268 Apache-2.0

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

sweetviz

by fbdesignpro python

star image 1597 MIT

Visualize and compare datasets, target values and associations, with one line of code.

tda-api

by alexgolec python

star image 958 MIT

A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.

pygooglenews

by kotartemiy python

star image 933 MIT

If Google News had a Python library

Fast-F1

by theOehrly python

star image 764 MIT

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

DataProfiler

by capitalone python

star image 747 Apache-2.0

What's in your data? Extract schema, statistics and entities from datasets

ppscore

by 8080labs python

star image 663 MIT

Predictive Power Score (PPS) in Python

Top Authors in Pandas

1

PacktPublishing

36 Libraries

447

2

datadesk

17 Libraries

823

3

pandastream

7 Libraries

110

4

fonnesbeck

6 Libraries

1389

5

spacetelescope

6 Libraries

74

6

apachecn

6 Libraries

2438

7

omnisci

6 Libraries

66

8

compute-io

6 Libraries

27

9

Data-Wrangling-with-JavaScript

6 Libraries

24

10

jseabold

5 Libraries

466

1

36 Libraries

447

2

17 Libraries

823

3

7 Libraries

110

4

6 Libraries

1389

5

6 Libraries

74

6

6 Libraries

2438

7

6 Libraries

66

8

6 Libraries

27

9

6 Libraries

24

10

5 Libraries

466

Trending Kits in Pandas

No Trending Kits are available at this moment for Pandas

Trending Discussions on Pandas

    Installing scipy and scikit-learn on apple m1
    Error while downloading the requirements using pip install (setup command: use_2to3 is invalid.)
    Mapping complex JSON to Pandas Dataframe
    AttributeError: Can't get attribute 'new_block' on <module 'pandas.core.internals.blocks'>
    How to update pandas DataFrame.drop() for Future Warning - all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only
    Cannot set up a conda environment with python 3.10
    ImportError: cannot import name 'ABCIndexClass' from 'pandas.core.dtypes.generic'
    Merge two pandas DataFrame based on partial match
    Create a new column in a Pandas DataFrame from existing column names
    After conda update, python kernel crashes when matplotlib is used

QUESTION

Installing scipy and scikit-learn on apple m1

Asked 2022-Mar-22 at 06:21

The installation on the m1 chip for the following packages: Numpy 1.21.1, pandas 1.3.0, torch 1.9.0 and a few other ones works fine for me. They also seem to work properly while testing them. However when I try to install scipy or scikit-learn via pip this error appears:

ERROR: Failed building wheel for numpy

Failed to build numpy

ERROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly

Why should Numpy be build again when I have the latest version from pip already installed?

Every previous installation was done using python3.9 -m pip install ... on Mac OS 11.3.1 with the apple m1 chip.

Maybe somebody knows how to deal with this error or if its just a matter of time.

ANSWER

Answered 2021-Aug-02 at 14:33

Please see this note of scikit-learn about

Installing on Apple Silicon M1 hardware

The recently introduced macos/arm64 platform (sometimes also known as macos/aarch64) requires the open source community to upgrade the build configuation and automation to properly support it.

At the time of writing (January 2021), the only way to get a working installation of scikit-learn on this hardware is to install scikit-learn and its dependencies from the conda-forge distribution, for instance using the miniforge installers:

https://github.com/conda-forge/miniforge

The following issue tracks progress on making it possible to install scikit-learn from PyPI with pip:

https://github.com/scikit-learn/scikit-learn/issues/19137

Source https://stackoverflow.com/questions/68620927