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pd.pivot_table options issue #3

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pd.pivot_table options issue #3

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'rows' and 'cols' does not work in pd.pivot_table. Modified to 'index…
hrishikeshvganu Aug 21, 2015
9cb0a84
Merge pull request #1 from hrishikeshvganu/hrishikeshvganu-patch-1
hrishikeshvganu Aug 21, 2015
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6 changes: 3 additions & 3 deletions code/pandas_lessons.py
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Expand Up @@ -625,7 +625,7 @@



#print pd.pivot_table(auto_mpg, values='weight', rows='model', cols='cylinders')
#print pd.pivot_table(auto_mpg, values='weight', index='model', columns='cylinders')


# If a cell contains NaN, it means that that combination doesn't exist within the DataFrame.
Expand All @@ -636,14 +636,14 @@



#print pd.pivot_table(auto_mpg, values='weight', rows=['model', 'origin'], cols='cylinders')
#print pd.pivot_table(auto_mpg, values='weight', index=['model', 'origin'], columns='cylinders')


# You can apply different aggregate functions to a pivot table. Let's look at the total weight per model/cylinder combination.



#print pd.pivot_table(auto_mpg, values='weight', rows='model', cols='cylinders', aggfunc='sum')
#print pd.pivot_table(auto_mpg, values='weight', index='model', columnss='cylinders', aggfunc='sum')


# ## Lesson: let's pivot!
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