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Pandas versions compatible with specific python and numpy configurations?

Is there a programmatic way to find out which versions of pandas are compatible with specific python and numpy configurations?

I am interested in the transition of pandas to ESRI ArcMAP 10.1, which runs on 32-bit Windows and is built on python 2.7, numpy 1.6.

I tried to create a conda environment for Python compatible with ESRI ArcMap 10.1 by opening the 32-bit Anaconda command line and typing

conda create -n arcmap101 python=2.7 numpy=1.6 pandas

and I am returning a Python environment containing pandas=0.10.1

It seems, however, that it should be possible to create a higher version python=2.7, numpy=1.6but I'm just not sure how much higher.

I tried to look at the history of pandas setup.py on github and there is a min_numpy_ver=1.6straight up, pandas=0.14although recently the requirement has been changed to min_numpy_ver=1.7, so I do not know if this was a new requirement or a bug fix that should have been added at an earlier release level.

And I see that in PyPI pandas=0.11for Windows it was created against numpy=1.6, and for pandas=0.12it it was created against numpy=1.7.

But I don't know if the PyPI build was a requirement or a choice.

Is there a good way to find these things without asking pandas developers?

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    conda create -n arcmap101 python=2.7 numpy=1.6 pandas

    conda install -n arcmap101 --no-deps pandas=0.13 # Or whatever version

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    conda build --npy 1.6 --py 2.7 pandas

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