Suppose I have the following dataframe: And I want to replace the cost of the current item with the cost of the previous item using Pandas, with the first instance of each item being deleted. So the above dataframe would become What’s a good way to do it? Answer You can use groupby on Item as well. This gives you
Tag: data-preprocessing
How do I make sure GridSearchCV first does the cross split and then the imputing?
I have a GridSearchCV, with a pipeline that looks something like this: my GridSearchCV looks like this: with Cross Validation = 5 So, how do I ensure that I split the data first, and then impute in the most frequent? Answer GridSearchCV will run roughly like this: You can be sure that SimpleImputer and StandardScaler will do .fit() and .transform()
keras – image and label don’t match in ImageDataGenerator.flow_from_directory
I want to classify about 2000 classes image. so I used the ImageDataGenerator, flow_from_directory. I made the main directory and 2000 sub directory. in main directory(test1) in sub directory Each sub directory have 20 images (total about 40k images) And I checked the generator by this script. Then I watched that image don’t match the label ex) a[0][0] has 300th
Reshape Python List to Match Input Layer (Data preprocessing – Keras – LSTM – MoCap)
Good Day, I am trying to train LSTM using multiple excel files (Motion Capture Data) as input. Each excel file represents a body motion, I would like to train the network using multiple motions in the training set and in the tests set. Below the example of a single excel file: As for the input shape, it’s (1, 2751, 93),