讓我們討論一下如何在pandas python中串聯兩列資料框。我們可以使用以下功能來做到這一點：

• concat()
• append()
• join()

示例1：使用該concat()方法。

# importing the module
import pandas as pd
  
# creating 2 DataFrames
location = pd.DataFrame({'area': ['new-york', 'columbo', 'mumbai']}) 
food = pd.DataFrame({'food': ['pizza', 'crabs', 'vada-paw
 
']})
  
# concatenating the DataFrames
det = pd.concat([location, food], join = 'outer', axis = 1)
  
# displaying the DataFrame
print(det)

輸出：

示例2：使用該append()方法。

# importing the module 
import pandas as pd 

# creating 2 DataFrames 
first = pd.DataFrame([['one', 1], ['three', 3]], columns =['
 
name', 'word']) 
second = pd.DataFrame([['two', 2], ['four', 4]], columns =['name', 'word']) 

# concatenating the DataFrames 
dt = first.append(second, ignore_index = True) 

# displaying the DataFrame 
print(dt) 

# importing the module 
import pandas as pd 

# creating 
 
2 DataFrames 
location = pd.DataFrame({'area' : ['new-york', 'columbo', 'mumbai']}) 
food = pd.DataFrame({'food': ['pizza', 'crabs', 'vada-paw']}) 

# concatenating the DataFrames 
dt = location.join(food) 

# displaying the DataFrame 
print(dt) 

對於連線DataFrame中兩列的三種方法，我們可以新增不同的引數來更改軸，排序，級別等