ENH: Add option in read_csv to infer compression type from filename #9770
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I think it would even be fine even to change the default here. We are not that strict about backwards compatibility in pandas -- any users who relied on the previous behavior were basically relying on a bug. |
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I agree with @shoyer here, let's just have it infer these filename endings as compression (move the release note to the API section). |
evanpw
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I've totally borked this branch with an accidental force push. I'll fix it tonight. |
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Should be fixed. |
| compression : {'gzip', 'bz2', 'infer', None}, default 'infer' | ||
| For on-the-fly decompression of on-disk data. If 'infer', then use gzip or | ||
| bz2 if filepath_or_buffer is a string ending in '.gz' or '.bz2', | ||
| respectively, and no decompression otherwise. |
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Can you add here what None does?
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couple of minor comments, pls rebase, and ping when green |
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Docs are fixed, rebased/squashed, and tests are green. |
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Looks great to me! |
jreback
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ENH: Add option in read_csv to infer compression type from filename
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@evanpw thanks! |
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Thank you! |
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Ideally, I would love for this to be the default, but that wouldn't be backwards-compatible in the case where the filename ends in '.gz' or '.bz2' and you want to treat it as uncompressed. That seems like it would be very rare, though.