Python熊猫中的组合数据帧

Question

我有两个使用python在Pandas中创建的数据框。如何将它们与Name, PrivateIP和Memory列组合为一个数据帧？主机名，IP和内存必须正确对齐。

hosts_df：

***Hosts Data Frame:
                      Name     PrivateIP
0               bastion001     10.238.2.166
1          logicmonitor001     10.238.2.52
2          logicmonitor002     45.21.2.1
***

memory_df：

***Memory Data Frame:
     Memory
0   1843260
0   7706164
0   7904828
***

另外，我想摆脱memory_df中的零列。

这是我的代码。

代码

    import os
    import pandas as pd
    filelist = os.listdir(text_path)
    # Read the servers into the DF
    hosts_list = os.path.join('..', '..', 'source_files', 'aws_hosts_list', 'aws_hosts_list.csv')
    text_path = "/home/tdun0002/stash/cloud_scripts/aws_scripts/output_files/memory_stats/text/"                
    hosts_df = pd.read_csv(hosts_list, skipinitialspace=True)
    hosts_df.columns = ["Name", "PrivateIP"]
    # Create the memory dataframe
    column_names = ["Memory"]
    memory_df = pd.DataFrame(columns=column_names)
    print(f"Reading text files into the Memory DF")
    for filename in filelist:
        print(f"Adding filename: {filename}")
        filename = text_path + filename
        temp_df = pd.read_csv(filename, delim_whitespace=True, names=column_names)
        memory_df = memory_df.append(temp_df)

    memory_df.Memory = memory_df.Memory.astype("int32")

如何将这些数据与以下列组合为一个：Name, PrivateIP, Memory？

Answer 1

newframe = pd.concat（[hosts_df，memory_df，axis = 1）