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使用pandas合并数据列

[英]Merging of data columns using pandas

I am trying to merge tables based on a key that is common to them using pandas and I am constantly getting the error :我正在尝试根据使用 Pandas 的常用键合并表,但我不断收到错误消息:

KeyError: 'Host Key of Allocated Locations' KeyError: '分配位置的主机密钥'

Table one has data: highlighted value is the 'Host Key of Allocated Locations'.表一有数据:突出显示的值是“分配位置的主机密钥”。 Also, it has duplicate values which I want to have as they will be needed in further analysis.此外,它具有我想要的重复值,因为在进一步分析中需要它们。 在此处输入图片说明

Table 2: highlighted value is the PK key表2:突出显示的值是PK键在此处输入图片说明

df3 = pd.merge(timetable_2020_df, joined_uom_space_df, on='Host Key of Allocated Locations', how='left')

I tried but I cannot understand what the issue is.我试过了,但我不明白问题是什么。

duplicate data is :重复数据是:

在此处输入图片说明

The on keyword only works when you have the same named column in both dataframes. on关键字仅在两个数据框中具有相同命名的列时才有效。 Your right dataframe does not have the 'Host...' column, hence a keyerror is being raised.right数据框没有“主机...”列,因此会引发关键错误。

You will need to use left_on and right_on keywords to specify the joining columns in your left and right dataframes.您将需要使用left_onright_on关键字来指定左右数据right_on的连接列。

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