Labeling questions during data preprocessing

There are several types of No.Fy Arrays and sequences of Arrays

by appending to another list

Read one number array to save the sequence.

Read the next number array again and save the sequence again

When you want to label a list of thousands of elements

Here, one number array sequence has the same label value.

I wonder if there is a good way.

numpy label

2022-09-20 11:35

1 Answers

Is it roughly the same situation as below? Please refer to it.


import numpy as np
import pandas as pd

np.random.seed(1)


def read_dogs():
    return np.random.rand(100, 4)


def read_cats():
    return np.random.rand(50, 4)


dog data = read_dogs()
Cat data = read_cats()


dog data frame = pd.DataFrame (dog data, columns = "height, weight, forefoot length, tail length").split(","))
dog data frame ["type"] = "dog"

Cat data frame = pd.DataFrame (cat data, columns = "height, weight, forefoot length, tail length").split(","))
Cat Data Frame ["Type"] = "Cat"

Dog Cat Data Frame = pd.concat ([dog data frame, cat data frame], axis=0, ignore_index=True)

print (Dog Cat Data Frame.sample(5).to_markdown())

2022-09-20 11:35

If you have any answers or tips

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