add cairosvg and pandas/numpy to draw rudimentary svg file

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admin 2026-01-29 10:23:09 -08:00
parent 28c00e18a5
commit bee9e37e6e

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@ -224,5 +224,88 @@ else:
create_elevation_file_from_region_name(target_region_name, target_filename) create_elevation_file_from_region_name(target_region_name, target_filename)
pil_image = Image.open(target_filename) #pil_image = Image.open(target_filename)
import numpy as np
import pandas as pd
import cairocffi as cairo
# 1. Load Image and get Max Values in a 5x7 Grid
def get_image_grid_max(image_path, grid_size=(5, 7)):
# Open image and convert to grayscale for pixel intensity
img = Image.open(image_path).convert('L')
width, height = img.size
grid_w, grid_h = grid_size
# Calculate cell dimensions
cell_w = width // grid_w
cell_h = height // grid_h
# Calculate max values for each cell
max_values = np.zeros((grid_h, grid_w))
for r in range(grid_h):
for c in range(grid_w):
# Define box (left, upper, right, lower)
box = (c * cell_w, r * cell_h, (c + 1) * cell_w, (r + 1) * cell_h)
cell = img.crop(box)
max_values[r, c] = np.max(np.array(cell))
return max_values
# 2. Create 3D Line Chart using Cairo (No Matplotlib)
def create_3d_line_chart_svg(data, output_path, svg_size=(800, 600)):
surface = cairo.SVGSurface(output_path, svg_size[0], svg_size[1])
cr = cairo.Context(surface)
# Background
cr.set_source_rgb(1, 1, 1)
cr.paint()
# Simple Orthographic Projection Matrix (pseudo-3D)
# Projects (x,y,z) -> (x+z/2, y+z/2)
def project(x, y, z, scale=20, offset=(100, 100)):
return (offset[0] + x * scale + z * 2, offset[1] + y * scale + z * 2)
rows, cols = data.shape
max_val = data.max()
# Normalize data for visualization height (0-100)
norm_data = (data / max_val) * 100
# Draw Lines along rows
cr.set_source_rgb(0, 0, 0) # Black lines
cr.set_line_width(1.0)
for r in range(rows):
for c in range(cols):
z = norm_data[r, c]
x, y = project(c, r, -z) # -z to make higher values go "up" in 2D
if c == 0:
cr.move_to(x, y)
else:
cr.line_to(x, y)
# Draw Lines along columns
for c in range(cols):
for r in range(rows):
z = norm_data[r, c]
x, y = project(c, r, -z)
if r == 0:
cr.move_to(x, y)
else:
cr.line_to(x, y)
cr.stroke()
surface.finish()
# Process
grid_max = get_image_grid_max(target_filename, grid_size=(25, 27))
print("Grid Max Values:\n", grid_max)
# Plot
create_3d_line_chart_svg(grid_max, target_region_name+".svg")
print("SVG file created: "+ target_region_name+".svg")