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.
