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