#! /usr/bin/python
# -*- coding: utf-8 -*-
import numpy as np
import fitz # this PyMuPDF
#==============================================================================
# Create any height*width*4 RGBA pixel area using numpy and then use fitz
# to save it as a PNG image.
# This is usually more than 10 times faster than pure python solutions
# like pypng and more than 2 times faster than PIL / Pillow.
#==============================================================================
height = 108 # choose whatever
width = 192 # you want here
image = np.ndarray((height, width, 4), dtype=np.uint8) # data type uint8 is required!
#==============================================================================
# Fill the array. Each 4-byte-tuple represents a pixel with (R, B, G, A).
# We have chosen A = 255 here (non transparent).
#==============================================================================
for i in range(height):
for j in range(width):
# just demoing - choose color components as you like them
image[i, j] = np.array([i%256, j%256, 200, 255], dtype=np.uint8)
#==============================================================================
# create a string from the array and output the picture
#==============================================================================
samples = image.tostring()
pix = fitz.Pixmap(fitz.csRGB, width, height, samples)
pix.writePNG("test.png")
Diff to Previous Revision
--- revision 1 2016-03-19 12:50:12
+++ revision 2 2016-03-19 12:57:38
@@ -1,7 +1,7 @@
#! /usr/bin/python
# -*- coding: utf-8 -*-
import numpy as np
-import fitz
+import fitz # this PyMuPDF
#==============================================================================
# Create any height*width*4 RGBA pixel area using numpy and then use fitz
