Python - 使用内部连接合并 Pandas DataFrame
要合并PandasDataFrame，请使用该merge()函数。通过在函数的“如何”参数下设置，在两个数据帧上实现内部连接，merge()即-
how = “inner”
首先，让我们使用别名导入pandas库-
import pandas as pd
创建DataFrame1-
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90]
}
)现在，创建DataFrame2-
dataFrame2 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],
"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]
}
)将DataFrames与公共列Car和“how”参数中的“inner”合并实现InnerJoin-
mergedRes = pd.merge(dataFrame1, dataFrame2, on ='Car', how ="inner")
示例
以下是代码-
#
#使用内部连接合并PandasDataFrame
#
import pandas as pd
#创建DataFrame1
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90]
}
)
print"DataFrame1 ...\n",dataFrame1
#创建DataFrame2
dataFrame2 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],
"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]
}
)
print"\nDataFrame2 ...\n",dataFrame2
# merge DataFrames with common column Car and "inner" in "how" parameter implements Inner Join
mergedRes = pd.merge(dataFrame1, dataFrame2, on ='Car', how ="inner")
print"\nMerged dataframe with inner join...\n", mergedRes输出结果这将产生以下输出-
DataFrame1 ...
Car Units
0 BMW 100
1 Lexus 150
2 Audi 110
3 Mustang 80
4 Bentley 110
5 Jaguar 90
DataFrame2 ...
Car Reg_Price
0 BMW 7000
1 Lexus 1500
2 Tesla 5000
3 Mustang 8000
4 Mercedes 9000
5 Jaguar 6000
Merged dataframe with inner join...
Car Units Reg_Price
0 BMW 100 7000
1 Lexus 150 1500
2 Mustang 80 8000
3 Jaguar 90 6000