Python 将两个看起来是相同类型的数据帧连接在一起会产生错误'；ValueError：您正在尝试合并object和int64列'；

我有两个数据帧，sessions1和sessions2，我想在字段'ga:dimension1'上加入它们

sessions1.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 15775 entries, 0 to 15774
Data columns (total 9 columns):
ga:dimension1                15775 non-null object
ga:date                      15775 non-null object
ga:deviceCategory            15775 non-null object
ga:landingPagePath           15775 non-null object
ga:userType                  15775 non-null object
ga:operatingSystem           15775 non-null object
ga:operatingSystemVersion    15775 non-null object
ga:sessions                  15775 non-null int64
ga:bounces                   15775 non-null int64
dtypes: int64(2), object(7)
memory usage: 1.1+ MB
sessions2.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 15774 entries, 0 to 15773
Data columns (total 9 columns):
ga:dimension1         15774 non-null object
ga:source             15774 non-null object
ga:medium             15774 non-null object
ga:campaign           15774 non-null object
ga:adContent          15774 non-null object
ga:keyword            15774 non-null object
ga:channelGrouping    15774 non-null object
ga:sessions           15774 non-null int64
ga:bounces            15774 non-null int64
dtypes: int64(2), object(7)
memory usage: 1.1+ MB

但是，当我尝试这一点时：

sessions_combined = sessions1.join(sessions2,
                                   on = 'ga:dimension1',
                                   how = 'left')

我收到一条错误消息：

ValueError:您正在尝试合并object和int64列。如果 如果要继续，请使用pd.concat

这是为什么？我应该如何将两个数据帧连接在一起？

使用

merge

sessions_combined = sessions1.merge(sessions2,
                                   on = 'ga:dimension1',
                                   how = 'left')

---

您需要使用

merge

而不是

join

。Join正在尝试将session1的索引连接到session2的列

ga:dimension1

。

sessions_combined = sessions1.merge(sessions2,
                                   on = 'ga:dimension1',
                                   how = 'left')