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pandas-dev / pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
https://pandas.pydata.org
BSD 3-Clause "New" or "Revised" License
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QST: Unable to install the pandas into the linux environment (Raspberry Pi 4) #41581

Closed jaskiratsingh2000 closed 1 year ago

jaskiratsingh2000 commented 3 years ago

Hey, I am using the linux environment on the raspberry pi 4 device and trying to install the pandas. I had ran almost these following commands one by one but none of them worked for me.

Command 1: sudo apt-get install python-pandas

Command 2: python -m pip install pandas --upgrade

Command-3: sudo pip3 install pandas

It always throw the error and I am getting this following error https://gist.github.com/jaskiratsingh2000/a05789458a2cca2594cb947e414cd4d1

Please help me out in this. Thanks!

pablodz commented 3 years ago

I saw that you're running python3.9

Acording to this issue https://stackoverflow.com/questions/64038673/could-not-build-wheels-for-which-use-pep-517-and-cannot-be-installed-directly there are libraries that have problems with ARM-based architectures

Try any of the solutions in the question

kordian2k commented 2 years ago

Running Raspberry Pi OS based on Debian Bullseye ARM64 seems to resolve this issue. In order to install pandas from the Debian repository, run sudo apt-get install python3-pandas

If you need a more recent pandas version you may switch the repository to unstable.

pd.show_versions()

INSTALLED VERSIONS

commit : b5958ee1999e9aead1938c0bba2b674378807b3d python : 3.9.2.final.0 python-bits : 64 OS : Linux OS-release : 5.10.63-v8+ Version : #1488 SMP PREEMPT Thu Nov 18 16:16:16 GMT 2021 machine : aarch64 processor : byteorder : little LC_ALL : en_US.UTF-8 LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 1.1.5 numpy : 1.19.5 pytz : 2021.1 dateutil : 2.8.1 pip : 20.3.4 setuptools : 52.0.0 Cython : None pytest : 6.0.2 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : 4.6.3 html5lib : 1.1 pymysql : None psycopg2 : None jinja2 : 2.11.3 IPython : None pandas_datareader: None bs4 : 4.9.3 bottleneck : 1.2.1 fsspec : None fastparquet : None gcsfs : None matplotlib : 3.3.4 numexpr : 2.7.2 odfpy : None openpyxl : 3.0.3 pandas_gbq : None pyarrow : None pytables : None pyxlsb : None s3fs : None scipy : 1.6.0 sqlalchemy : None tables : 3.6.1 tabulate : None xarray : None xlrd : None xlwt : 1.3.0 numba : None

mroeschke commented 1 year ago

Seems like this is an issue with an unsupported version of pandas now so closing. We can reopen if this is happening with a newer version of pandas