.describe() for series of objects #241
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this looks good and thanks for the min/max bugfix. will need to add a compatability function for Counter which is not present in Python 2.5 which I'm still supporting |
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Actually, checking the docs, 2.6 doesn't have Counter either. It's pure Python, so the simplest thing is probably to copy the 2.7 version and ship it in a module in util. Let me know if you want me to do that. |
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would you please? separate pull request since I already rebased and merged this one |
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OK, no worries. |
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Do you have an opinion on how NA (NaN/None) should be handled in the output of Series.describe? I should also take care with that in value_counts |
dan-nadler
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Sep 23, 2019
We raise an OperationFailure exception when something goes wrong querying the database as a secondary. Arctic retries querying the primary only, and we assert that data comes back.
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See #210.
I don't know if
series.dtype == objectis the best way to check for non-numeric data, but it appears to work.At present, I've used fields 'count', 'unique', 'top' (i.e. most common) and 'freq' (i.e. count of the most common). These seem like obvious things for a summary.
I also noticed a problem doing
df.describe()if df has integer columns, so I copied some code from series to fix that.