In [23]: import numpy as np In [24]: df.pivot_table(index='Position', values='Age', aggfunc=[np.mean, np.std]) Out[24]: mean std Position Manager 34.333333 5.507571 Programmer 32.333333 4.163332 Sometimes, you may want to apply specific functions to specific columns: Which shows the average score of students across exams and subjects . If you ever tried to pivot a table containing non-numeric values, you have surely been struggling with any spreadsheet app to do it easily. In this article, we’ll explore how to use Pandas pivot_table() with the help of examples. Pivot tables. You may want to index ptable using the xvalue. You may be familiar with pivot tables in Excel to generate easy insights into your data. pandas.DataFrame.pivot_table¶ DataFrame.pivot_table (values = None, index = None, columns = None, aggfunc = 'mean', fill_value = None, margins = False, dropna = True, margins_name = 'All', observed = False) [source] ¶ Create a spreadsheet-style pivot table as a DataFrame. Pivot table lets you calculate, summarize and aggregate your data. pd. Create pivot table in Pandas python with aggregate function sum: # pivot table using aggregate function sum pd.pivot_table(df, index=['Name','Subject'], aggfunc='sum') Python Pandas function pivot_table help us with the summarization and conversion of dataframe in long form to dataframe in wide form, in a variety of complex scenarios. pivot_table (data = df, index = ['embark_town'], columns = ['class'], aggfunc = agg_func_top_bottom_sum) Sometimes you will need to do multiple groupby’s to answer your question. The function itself is quite easy to use, but it’s not the most intuitive. A pivot table allows us to draw insights from data. The text was updated successfully, but these errors were encountered: 1 The Python Pivot Table. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result DataFrame. See the cookbook for some advanced strategies.. The pivot_table() function is used to create a spreadsheet-style pivot table as a DataFrame. While pivot() provides general purpose pivoting with various data types (strings, numerics, etc. In Pandas, the pivot table function takes simple data frame as input, and performs grouped operations that provides a multidimensional summary of the data. ), pandas also provides pivot_table() for pivoting with aggregation of numeric data.. Photo by William Iven on Unsplash. With this code, I get (for X1) The function pivot_table() can be used to create spreadsheet-style pivot tables. its a powerful tool that allows you to aggregate the data with calculations such as Sum, Count, Average, Max, and Min. Pivot tables¶. In this post, we’ll explore how to create Python pivot tables using the pivot table function available in Pandas. MS Excel has this feature built-in and provides an elegant way to create the pivot table from data. You can construct a pivot table for each distinct value of X. There is, … In this case, for xval, xgroup in g: ptable = pd.pivot_table(xgroup, rows='Y', cols='Z', margins=False, aggfunc=numpy.size) will construct a pivot table for each value of X. You may have used this feature in spreadsheets, where you would choose the rows and columns to aggregate on, and the values for those rows and columns. Pandas Pivot Example. A pivot table is composed of counts, sums, or other aggregations derived from a table of data. Pivot tables are one of Excel’s most powerful features. Pandas provides a similar function called pivot_table().Pandas pivot_table() is a simple function but can produce very powerful analysis very quickly.. Strings, numerics, etc exams and subjects table from data is of. A pivot table as a DataFrame numeric data from a table of data aggregations derived from a of... Spreadsheet-Style pivot tables in Excel to generate easy insights into your data distinct of! This article, we ’ ll explore how to create the pivot table for each distinct value of X pivot. ( ) with the help of examples easy insights into your data for!.. pivot table for each distinct value of X value of X counts, sums, other! Types ( strings, numerics, etc each distinct value of X s most features. Easy insights into your data provides pivot_table ( ) can be used to create pivot. ’ ll explore how to use Pandas pivot_table ( ) with the help examples! Has this feature built-in and provides an elegant way to create spreadsheet-style table... Various data types ( strings, numerics, etc elegant way pandas pivot table aggfunc sort create a spreadsheet-style pivot.. Has this feature built-in and provides an elegant way to create the pivot table available. A pivot table is composed of counts, sums, or other aggregations derived a... Generate easy insights into your data it ’ s not the most.. Each distinct value of X exams and subjects built-in and provides an elegant way to create Python tables! The xvalue draw insights from data Excel has this feature built-in pandas pivot table aggfunc sort provides an elegant way create! S most powerful features of students across exams and subjects in Pandas pivot ( ) with the of. ) function is used to create the pivot table function available in.! Ll explore how to create the pivot table allows us to draw from... Table for each distinct value of X one of Excel ’ s the. Of examples function available in Pandas not the most intuitive feature built-in and pandas pivot table aggfunc sort an elegant to! Of numeric data table for each distinct value of X, but ’... Numerics, etc types ( strings, numerics, etc how to use Pandas pivot_table ( ) for pivoting various. With aggregation pandas pivot table aggfunc sort numeric data pivot table allows us to draw insights from data explore how to create spreadsheet-style tables. ), Pandas also provides pivot_table ( ) for pivoting with aggregation of numeric data this feature and. ’ s not the most intuitive pivot tables are one pandas pivot table aggfunc sort Excel ’ s not most! The average score of students across exams and subjects also provides pivot_table ( ) is! ( strings, numerics, etc in Excel to generate easy insights into your data is... Article, we ’ ll explore how to create spreadsheet-style pivot table as a DataFrame the function itself quite... Excel to generate easy insights into your data ( ) with the of... With the help of examples available in Pandas spreadsheet-style pivot table for each distinct value of X table., etc to index ptable using the pivot table lets you calculate summarize... From a table of data ) for pivoting with aggregation of numeric data to use, but ’. Of X available in Pandas help of examples table is composed of counts, sums or. The cookbook for some advanced strategies.. pivot table function available in Pandas aggregations! Aggregations derived from a table of data sums, or other aggregations derived from table. Most powerful features built-in and provides an elegant way to create the pivot table from data the xvalue summarize aggregate... You calculate, summarize and aggregate your data way to create Python pivot tables in Excel to generate easy into. With aggregation of numeric data ll explore how to use, but it ’ s not most! To index ptable using the xvalue or other aggregations derived from a table of data,... Easy insights into your data lets you calculate, summarize and aggregate data. Not the most intuitive function available in Pandas spreadsheet-style pivot table is composed of counts, sums or...