Python - 将 Pandas DataFrame 与外部连接合并
要合并 Pandas DataFrame,请使用该merge()函数。通过在merge()函数的“如何”参数下设置,在两个数据帧上实现外连接,即 -
how = “outer”
首先,让我们使用别名导入 pandas 库 -
import pandas as pd
让我们创建 DataFrame1 -
dataFrame1 = pd.DataFrame({
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90]
}
)
现在让我们创建 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“outer”合并以实现 Outer Join -
mergedRes = pd.merge(dataFrame1, dataFrame2, on ='Car', how ="outer")
示例
以下是代码 -
import pandas as pd输出结果# Create DataFrame1
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90]
}
)
print"DataFrame1 ...\n",dataFrame1
# Create 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 "outer" in "how" parameter implements Outer Join
mergedRes = pd.merge(dataFrame1, dataFrame2, on ='Car', how ="outer")
print"\nMerged dataframe with outer join...\n", mergedRes
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 outer join...
Car Units Reg_Price
0 BMW 100.0 7000.0
1 Lexus 150.0 1500.0
2 Audi 110.0 NaN
3 Mustang 80.0 8000.0
4 Bentley 110.0 NaN
5 Jaguar 90.0 6000.0
6 Tesla NaN 5000.0
7 Mercedes NaN 9000.0
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