比较两个不同的熊猫数据框中的两列值

Question

I have two data sets; set A has the full values with columns' names ('Temp', 'Humidity', 'Label' ) and set B has predictions for the Label value for some of the readings of the full list ('Temp', 'Humidity', 'Predicted Label'). I want to compare the Label value of the same readings in both full lists and the predictions to calculate the error. How can I do that using pandas?

Answer 1

you can merge your two Dataframes. What do you mean by comparing? Are those numbers? If so you can do this :

Comparison_Dataframe = A.merge(B, on=['Temp', 'Humidity'], how='inner')
Comparison_Dataframe['result'] = Comparison_Dataframe['Label'== 'Predicted Label']

The second line would add a boolean equality column.

Answer 2

如果错误是指差异，并且两个数据帧的顺序相同：

df = A - B