I have an images data set which I have converted into NumPy array and getting total counts of pixels in individual images. I am using below code for this purpose:

data_custom_script = images
data_custom_script = np.array(data_custom_script)
import pandas as pd


for images in data_custom_script:
    
    colours, counts = np.unique(images.reshape(-1,3), axis=0, return_counts=1)
   #giving these conditions because array has different shapes
    if counts.shape[0] == 7:
       counts = np.reshape(counts,(1,7))
    if counts.shape[0] == 6:
       counts = np.reshape(counts,(1,6))     
    if counts.shape[0] == 5:
       counts = np.reshape(counts,(1,5))
    if counts.shape[0] == 4:
       counts = np.reshape(counts,(1,4))
    if counts.shape[0] == 3:
       counts = np.reshape(counts,(1,3))

Now when I run this code i get result into multiple 1D array for each images like this:
enter image description here

Now when I convert this into data frame I got results in the form of individual data frames rather than one

df = pd.DataFrame(counts)
print(df)

enter image description here

I want to get results in the form of a single data frame like this
enter image description here