On Pandas documentation of the pivot
method, we have:
Examples -------- >>> df foo bar baz 0 one A 1. 1 one B 2. 2 one C 3. 3 two A 4. 4 two B 5. 5 two C 6. >>> df.pivot('foo', 'bar', 'baz') A B C one 1 2 3 two 4 5 6
My DataFrame
is structured like this:
name id x ---------------------- 0 john 1 0 1 john 2 0 2 mike 1 1 3 mike 2 0
And I want something like this:
1 2 # (this is the id as columns) ---------------------- mike 0 0 # (and this is the 'x' as values) john 1 0
But when I run the pivot
method, it is saying:
*** ReshapeError: Index contains duplicate entries, cannot reshape
Which doesn't makes sense, even in example there are repeated entries on the foo
column. I'm using the name
column as the index of the pivot, the first argument of the pivot
method call.
As far as I can tell with updates to pandas, you have to use pivot_table() instead of pivot().
pandas.pivot_table(df,values='count',index='site_id',columns='week')
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