Процентильный ранг столбца в Pandas DataFrame
Опубликовано: 27 Марта, 2022
Let us see how to find the percentile rank of a column in a Pandas DataFrame. We will use the rank() function with the argument pct = True to find the percentile rank.
Example 1 :
# import the moduleimport pandas as pd # create a DataFrame data = {"Name": ["Mukul", "Rohan", "Mayank", "Shubham", "Aakash"], "Location" : ["Saharanpur", "Meerut", "Agra", "Saharanpur", "Meerut"], "Pay" : [50000, 70000, 62000, 67000, 56000]} df = pd.DataFrame(data) # create a new column of percentile rankdf["Percentile Rank"] = df.Pay.rank(pct = True) # displaying the percentile rankdisplay(df) |
Output :
Example 2 :
# import the moduleimport pandas as pd # create a DataFrame ODI_runs = {"name": ["Tendulkar", "Sangakkara", "Ponting", "Jayasurya", "Jayawardene", "Kohli", "Haq", "Kallis", "Ganguly", "Dravid"], "runs": [18426, 14234, 13704, 13430, 12650, 11867, 11739, 11579, 11363, 10889]} df = pd.DataFrame(ODI_runs) # create a new column of percentile rankdf["Percentile Rank"] = df.runs.rank(pct = True) # displaying the percentile rankdisplay(df) |
Output :
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Article Contributed By :
mukulsomukesh
@mukulsomukesh
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Article Tags :
- Python pandas-dataFrame
- Python-pandas
- Python
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