如何从 Python Pandas 中的 value_counts() 中提取值名称和计数?
要提取值名称和计数,让我们首先创建一个具有4列的DataFrame-
dataFrame = pd.DataFrame({ "Car": ['BMW', 'Mustang', 'Tesla', 'Mustang', 'Mercedes', 'Tesla', 'Audi'],"Cubic Capacity": [2000, 1800, 1500, 2500, 2200, 3000, 2000],"Reg Price": [7000, 1500, 5000, 8000, 9000, 6000, 1500],"Units Sold": [ 200, 120, 150, 120, 210, 250, 220] })
获取特定列Car的值名称和计数-
res = dataFrame['Car'].value_counts()
获取值名称并计算特定列的UnitsSold-
res = dataFrame['Units Sold'].value_counts()
示例
以下是完整的代码-
import pandas as pd #creatingdataframe dataFrame = pd.DataFrame({"Car": ['BMW', 'Mustang', 'Tesla', 'Mustang', 'Mercedes', 'Tesla', 'Audi'],"Cubic Capacity": [2000, 1800, 1500, 2500, 2200, 3000, 2000],"Reg Price": [7000, 1500, 5000, 8000, 9000, 6000, 1500],"Units Sold": [ 200, 120, 150, 120, 210, 250, 220] }) print"DataFrame ...\n",dataFrame res = dataFrame['Car'].value_counts() print"\nDisplaying value name and counts from the column Car:\n",res res = dataFrame['Units Sold'].value_counts() print"\nDisplaying value name and counts from the column Units Sold:\n",res输出结果
这将产生以下输出-
DataFrame ... Car Cubic Capacity Reg Price Units Sold 0 BMW 2000 7000 200 1 Mustang 1800 1500 120 2 Tesla 1500 5000 150 3 Mustang 2500 8000 120 4 Mercedes 2200 9000 210 5 Tesla 3000 6000 250 6 Audi 2000 1500 220 Displaying value name and counts from the column Car: Mustang 2 Tesla 2 Audi 1 BMW 1 Mercedes 1 Name: Car, dtype: int64 Displaying value name and counts from the column Units Sold: 120 2 150 1 220 1 210 1 250 1 200 1 Name: Units Sold, dtype: int64