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📜  Pandas – GroupBy 一列并获取平均值、最小值和最大值

📅  最后修改于: 2022-05-13 01:54:34.744000             🧑  作者: Mango

Pandas – GroupBy 一列并获取平均值、最小值和最大值


我们可以使用 Groupby函数将数据帧分成组并对其应用不同的操作。其中之一是聚合。聚合,即计算每个组创建的示例的统计参数——平均值、最小值、最大值或总和。

让我们看看如何将数据框按一列分组并获取它们的平均值、最小值和最大值。

示例 1:

import pandas as pd
  
  
# creating a dataframe
df = pd.DataFrame([('Bike', 'Kawasaki', 186),
                   ('Bike', 'Ducati Panigale', 202),
                   ('Car', 'Bugatti Chiron', 304), 
                   ('Car', 'Jaguar XJ220', 210),
                   ('Bike', 'Lightning LS-218', 218), 
                   ('Car', 'Hennessey Venom GT', 270),
                   ('Bike', 'BMW S1000RR', 188)],
                  columns =('Type', 'Name', 'top_speed(mph)'))
  
df

输出 :

查找平均值、最小值和最大值。

# using groupby function with aggregation
# to get mean, min and max values
result = df.groupby('Type').agg({'top_speed(mph)': ['mean', 'min', 'max']})
  
print("Mean, min, and max values of Top Speed grouped by Vehicle Type")
print(result)

输出 :

示例 2:

import pandas as pd
  
  
# creating a dataframe
sales_data = pd.DataFrame({
'customer_id':[3005, 3001, 3002, 3009, 3005, 3007,
               3002, 3004, 3009, 3008, 3003, 3002],
      
'salesman_id': [102, 105, 101, 103, 102, 101, 101,
                106, 103, 102, 107, 101],
  
'purchase_amt':[1500, 2700, 1525, 1100, 948, 2400,
                5700, 2000, 1280, 2500, 750, 5050]})
  
sales_data

输出 :

查找平均值、最小值和最大值。

# using groupby function with aggregation 
# to get mean, min and max values
result = sales_data.groupby('salesman_id').agg({'purchase_amt': ['mean', 'min', 'max']})
  
print("Mean, min, and max values of Purchase Amount grouped by Salesman id")
print(result)

输出 :

示例 3:

import pandas as pd
  
  
# creating a dataframe
df = pd.DataFrame({"Team": ["Radisson", "Radisson", "Gladiators",
                            "Blues", "Gladiators", "Blues", 
                            "Gladiators", "Gladiators", "Blues", 
                            "Blues", "Radisson", "Radisson"],
                     
        "Position": ["Player", "Extras", "Player", "Extras",
                     "Extras", "Player", "Player", "Player",
                     "Extras", "Player", "Player", "Extras"],
                     
        "Age": [22, 24, 21, 29, 32, 20, 21, 23, 30, 26, 20, 31]})
df

输出 :

查找平均值、最小值和最大值。

# using groupby function with aggregation 
# to get mean, min and max values
result = df.groupby('Team').agg({'Age': ['mean', 'min', 'max']})
  
print("Mean, min, and max values of Age grouped by Team")
print(result)

输出 :