I have created an isolated environment with >pip install pandas, and should another commend be needed here to further build and install pandas? There tends to be confusion between "pip install" and "setup.py".
I have created an isolated environment with >pip install pandas, and should another commend be needed here to further build and install pandas? There tends to be confusion between "pip install" and "setup.py".
Another problem occurs in forking the pandas repository. I create a fork of pandas repository in my GitHub and I want to start gitpod by first entering $ "python -m pytest pandas" to check whether my workspace is ready. However, an error reposts and my question is whether it is caused because I haven't successfully built my workplace or connected with pandas?
Another problem occurs in forking the pandas repository. I create a fork of pandas repository in my GitHub and I want to start gitpod by first entering $ "python -m pytest pandas" to check whether my workspace is ready. However, an error reposts and my question is whether it is caused because I haven't successfully built my workplace or connected with pandas?
Then, re-running the install command every time the local copy of the pandas repository is modified will update the virtual environment with the modified copy so scripts can be run against it.
What we got to work was:
1. Checking out a fork of pandas instead of the pandas distribution on the python package repository.
2. Installing a Visual C++ compiler.
3. Selecting the 64-bit compiler using the `$ENV:VS170COMNTOOLS\Launch-VsDevShell.ps1 -arch amd64` script.
4. Following the instructions here:
https://pandas.pydata.org/pandas-docs/stable/development/contributing_environment.html#step-3-build-and-install-pandas
Then, re-running the install command every time the local copy of the pandas repository is modified will update the virtual environment with the modified copy so scripts can be run against it.
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I have created an isolated environment with >pip install pandas, and should another commend be needed here to further build and install pandas? There tends to be confusion between "pip install" and "setup.py".
Another problem occurs in forking the pandas repository. I create a fork of pandas repository in my GitHub and I want to start gitpod by first entering $ "python -m pytest pandas" to check whether my workspace is ready. However, an error reposts and my question is whether it is caused because I haven't successfully built my workplace or connected with pandas?
What we got to work was:
Checking out a fork of pandas instead of the pandas distribution on the python package repository.
Installing a Visual C++ compiler.
Selecting the 64-bit compiler using the
$ENV:VS170COMNTOOLS\Launch-VsDevShell.ps1 -arch amd64script.Following the instructions here:
https://pandas.pydata.org/pandas-docs/stable/development/contributing_environment.html#step-3-build-and-install-pandas
Then, re-running the install command every time the local copy of the pandas repository is modified will update the virtual environment with the modified copy so scripts can be run against it.