我有两个数据框，我需要根据一个列进行合并/合并。当我尝试加入/合并它们时，新列将显示NaN。
基本上，我需要在数据帧上执行Left Join，将df_user视为左侧的数据帧。
PS：两个数据框上的列具有相同的数据类型。
请在下面找到数据框-
df_user.dtypes
App category
Sentiment int8
Sentiment_Polarity float64
Sentiment_Subjectivity float64
df_play.dtypes
App category
Category category
Rating float64
Reviews float64
Size float64
Installs int64
Type int8
Price float64
Content Rating int8
Installs_Cat int8
df_play.head()
App Category Rating Reviews Size Installs Type Price Content Installs_Cat
0 SPrapBook ART_AND_DESIGN 4.1 159 19 10000 0 0 0 9
1 U Launcher ART_AND_DESIGN 4.5 87510 25 5000000 0 0 0 14
2 Sketch - ART_AND_DESIGN 4.3 215644 2.8 50000000 0 0 1 16
3 Pixel Dra ART_AND_DESIGN 4.4 967 5.6 100000 0 0 0 11
4 Paper flo ART_AND_DESIGN 3.8 167 19 50000 0 0 0 10
df_user.head()
App Sentiment Sentiment_Polarity Sentiment_Subjectivity
0 10 Best Foods for You 2 1.00 0.533333
1 10 Best Foods for You 2 0.25 0.288462
3 10 Best Foods for You 2 0.40 0.875000
4 10 Best Foods for You 2 1.00 0.300000
5 10 Best Foods for You 2 1.00 0.300000
我尝试了以下两个代码-
result = pd.merge(df_user, df_play, how='left', on='App')
result = df_user.join(df_play.set_index('App'),on='App',how='left',rsuffix='_y')
但是我只有-
App Sentiment Sentiment_Polarity Sentiment_Subjectivity Category Rating Reviews Size Installs Type Price Content Rating Installs_Cat
0 10 Best Foods for You 2 1.00 0.533333 NaN NaN NaN NaN NaN NaN NaN NaN NaN
1 10 Best Foods for You 2 0.25 0.288462 NaN NaN NaN NaN NaN NaN NaN NaN NaN
2 10 Best Foods for You 2 0.40 0.875000 NaN NaN NaN NaN NaN NaN NaN NaN NaN
3 10 Best Foods for You 2 1.00 0.300000 NaN NaN NaN NaN NaN NaN NaN NaN NaN
4 10 Best Foods for You 2 1.00 0.300000 NaN NaN NaN NaN NaN NaN NaN NaN NaN
请原谅我进行格式化。