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DOC indexing: Google search for 'pandas greater than' returns pandas.DataFrame.ge as #1, and pandas.DataFrame.gt/pandas.Series.gt aren't even found
#32491
Closed
smcinerney opened this issue
Mar 6, 2020
· 3 comments
(I'm aware that Google SEO is not under pandas' control. However this one's quite important, and nowhere in the pandas doc does it actually tell us where/how to report SEO fails, if at all. So please tell us how and where to report things like this. Are all pandas doc pages automatically submitted to be crawled by Google?)
The indexing of pandas DataFrame/Series operators seems to have some holes:
A Google search for 'pandas greater than' returns 'pandas.DataFrame.ge' as #1, and pandas.DataFrame.gt/pandas.Series.gt aren't even found, let alone in the top 10.
Was the cause due to a) selective crawling, or b) not understanding the doc page text itself, that the wrong page gets indexed as #1, and the right pages never get indexed at all? The solution depends on which is the cause. Anyone here who knows about crawling and SEO? (I know almost nothing, I can't comment).
Problem description
(I'm aware that Google SEO is not under pandas' control. However this one's quite important, and nowhere in the pandas doc does it actually tell us where/how to report SEO fails, if at all. So please tell us how and where to report things like this. Are all pandas doc pages automatically submitted to be crawled by Google?)
The indexing of pandas DataFrame/Series operators seems to have some holes:
A Google search for 'pandas greater than' returns 'pandas.DataFrame.ge' as #1, and
pandas.DataFrame.gt
/pandas.Series.gt
aren't even found, let alone in the top 10.pandas.DataFrame.gt
pandas.Series.gt
should also be found, reindex_like function #2, but they're not. Similarly Binary operations on int DataMatrix #3pandas.Series.between
,pandas.Series.ge
etc.A Google search for 'pandas less than' is slightly better:
pandas.DataFrame.le
(pandas 1.0.1 doc)pandas.Series.le
(pandas 1.0.1 doc)pandas.Series.between
(pandas 0.23.1 doc(?), not 1.0.x)pandas.DataFrame.lt
/pandas.Series.lt
Expected Output
as above
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