Rank Sort Series DataFrames in Python Pandas Numpy
In this quick notes, we will have a look at Rank and Sort in Series and DataFrames in Python
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import numpy as np import pandas as pd from pandas import Series, DataFrame |
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#make a series ser1 = Series(range(3), index=['C','A','B']) ser1 |
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#sort index of series ser1.sort_index() |
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#order or sort by values ser1.order() |
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ser1.sort_values() |
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from numpy.random import randn |
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#make a series by passing in 10 random numbers ser2 = Series(randn(10)) ser2 |
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#sort the values ser2.sort_values() |
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#rank the values #### meaning the values are actually sorted based on rank ser2.rank() |
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#make a third series and generate 10 random numbers ser3 = Series(randn(10)) ser3 |
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#lets check the rank ser3.rank() |
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#let's sort and then rank ser3.sort_values() ser3.rank() |
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This is part of lectures on Learning Python for Data Analysis and Visualization by Jose Portilla on Udemy.
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