如何获得一个名为前两个维度的 3 维数组

Question

I'm working the numpy librairy in Python 3. I would like to have a 3 dimensionnal array with the first two dimension named.

I have created a 3 dimensionnal array. I want to access the array like this

 my_3d_array["dim1_colnameX", "dim2_colnameX", 2:4]

I don't know if this is possible.

Here's what I've done:

import numpy as np
my_3d_array = np.zeros((2, 3, 5))

my_dtype = np.dtype(XXXX)

my_3d_array= my_3d_array.dtype(my_dtype)

print(my_3d_array)

Thank you!

Answer 1

What do you want your output to look like?

You could transform your array into a pandas Dataframe and name the columns.

Take a look at this , on how to create a dataframe out of a 3d np.array

After that you can name and rename the columns like this:

#name
df.columns = ['column1', 'column2', 'column3']

#rename
df.rename(columns={'column1': 'dim1_colnameX'}, inplace=True)

You can read about this here or here