创建管道并从 DataFrame 中删除一列 - Python Pandas
使用colDrop()pdpipe库的方法从PandasDataFrame中删除一列。首先，导入所需的pdpipe和pandas库及其各自的别名-
import pdpipe as pdp import pandas as pd
让我们创建一个DataFrame。在这里，我们有两列-
dataFrame = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],"Units": [100, 150, 110, 80, 110, 90]
}
)要从DataFrame中删除列，请使用ColDrop()方法。在这里，我们将删除“单位”列-
resDF = pdp.ColDrop("Units").apply(dataFrame)示例
以下是完整的代码-
import pdpipe as pdp
import pandas as pd
#创建数据帧
dataFrame = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],"Units": [100, 150, 110, 80, 110, 90]
}
)
print("DataFrame ...\n",dataFrame)
#用pdp删除一行
dataFrame = pdp.ValDrop(['Jaguar'],'Car').apply(dataFrame)
print("\n DataFrame after removing a row...\n",dataFrame)
#使用pdp删除列
resDF = pdp.ColDrop("Units").apply(dataFrame)
print("\nDataFrame after removing a column...\n",resDF)输出结果这将产生以下输出-
DataFrame ...
Car Units
0 BMW 100
1 Lexus 150
2 Audi 110
3 Mustang 80
4 Bentley 110
5 Jaguar 90
Displaying after removing a row...
Car Units
0 BMW 100
1 Lexus 150
2 Audi 110
3 Mustang 80
4 Bentley 110
Displaying after removing a column...
Car
0 BMW
1 Lexus
2 Audi
3 Mustang
4 Bentley