QST: Unable to install the pandas into the linux environment (Raspberry Pi 4)

[jaskiratsingh2000]

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]

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]

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 : b5958ee
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]

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