熊猫数据框中某列的百分位数等级

原文:https://www.geeksforgeeks.org/percent-熊猫一栏排名-dataframe/

让我们看看如何在熊猫数据框中找到一列的百分位数。我们将使用带有参数pct = True的**[rank()](https://www.geeksforgeeks.org/python-pandas-dataframe-rank/)**函数来找到百分位数。

例 1 :

# import the module
import 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 rank
df['Percentile Rank'] = df.Pay.rank(pct = True)

# displaying the percentile rank
display(df) 

输出:

例 2 :

# import the module
import 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 rank
df['Percentile Rank'] = df.runs.rank(pct = True)

# displaying the percentile rank
display(df) 

输出:

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