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julius 2024-11-10 16:11:46 +01:00
commit a7f08162c1
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GPG Key ID: C80A63E6A5FD7092
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README.md Normal file
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matrix.py Normal file
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import numpy as np
import svg
rgen = np.random.default_rng()
# the following functions are taken from Ben Southgate:
# https://bsouthga.dev/posts/colour-gradients-with-python
def hex_to_RGB(hex):
""" "#FFFFFF" -> [255,255,255]"""
# Pass 16 to the integer function for change of base
return [int(hex[i : i + 2], 16) for i in range(1, 6, 2)]
def RGB_to_hex(RGB):
"""[255,255,255] -> "#FFFFFF" """
# Components need to be integers for hex to make sense
RGB = [int(x) for x in RGB]
return "#" + "".join(
["0{0:x}".format(v) if v < 16 else "{0:x}".format(v) for v in RGB]
)
def colour_dict(gradient):
"""Takes in a list of RGB sub-lists and returns dictionary of
colours in RGB and hex form for use in a graphing function
defined later on."""
return {
"hex": [RGB_to_hex(RGB) for RGB in gradient],
"r": [RGB[0] for RGB in gradient],
"g": [RGB[1] for RGB in gradient],
"b": [RGB[2] for RGB in gradient],
}
def linear_gradient(start_hex, finish_hex="#FFFFFF", n=10):
"""returns a gradient list of (n) colours between
two hex colours. start_hex and finish_hex
should be the full six-digit colour string,
inlcuding the number sign ("#FFFFFF")"""
# Starting and ending colours in RGB form
s = hex_to_RGB(start_hex)
f = hex_to_RGB(finish_hex)
# Initilize a list of the output colours with the starting colour
RGB_list = [s]
# Calcuate a colour at each evenly spaced value of t from 1 to n
for t in range(0, n):
# Interpolate RGB vector for colour at the current value of t
curr_vector = [
int(s[j] + (float(t) / (n - 1)) * (f[j] - s[j])) for j in range(3)
]
# Add it to our list of output colours
RGB_list.append(curr_vector)
return colour_dict(RGB_list)
def rand_hex_colour(num=1):
"""Generate random hex colours, default is one,
returning a string. If num is greater than
1, an array of strings is returned."""
colours = [RGB_to_hex([x * 255 for x in rgen.rand(3)]) for i in range(num)]
if num == 1:
return colours[0]
else:
return colours
def polylinear_gradient(colours, n):
"""returns a list of colours forming linear gradients between
all sequential pairs of colours. "n" specifies the total
number of desired output colours"""
# The number of colours per individual linear gradient
n_out = int(float(n) / (len(colours) - 1))
# returns dictionary defined by colour_dict()
gradient_dict = linear_gradient(colours[0], colours[1], n_out)
if len(colours) > 1:
for col in range(1, len(colours) - 1):
next = linear_gradient(colours[col], colours[col + 1], n_out)
for k in ("hex", "r", "g", "b"):
# Exclude first point to avoid duplicates
gradient_dict[k] += next[k][1:]
return gradient_dict
class LinearGradientColourMap:
def __init__(
self,
colours: list[str] | None = ["#ff0000", "#ffffff", "#0000ff"],
min_value: float | None = 0,
max_value: float | None = 1,
bins: int = 100,
):
self.colours = polylinear_gradient(colours, bins)
self.min, self.max = min_value, max_value
def __call__(self, v: float):
v = max(0, int((v - self.min) / (self.max - self.min) * 100) - 1)
if v >= len(self.colours["hex"]):
breakpoint()
return self.colours["hex"][v]
class RandomColourMap:
def __init__(self, random_state: int | list[int] | None = [2, 3, 4, 5, 6]):
self.rgen = np.random.default_rng([2, 3, 4, 5, 6])
def __call__(self, v: float):
return RGB_to_hex([x * 255 for x in self.rgen.random(3)])
def colourbar(
cmap,
min_value: float | None = 0,
max_value: float | None = 1,
height=100,
width=10,
resolution=256,
):
items = [
svg.Rect(fill=cmap(v), x=0, y=i, width=width, height=1, stroke="none")
for i, v in enumerate(np.linspace(min_value, max_value, resolution))
]
return svg.G(elements=items, transform=[svg.Scale(1, height / resolution)])
if __name__ == "__main__":
m, n = 20, 20
width = 20
height = 20
gap = 1
text = False
total_width = (gap + width) * n + gap
total_height = (gap + height) * m + gap
filename = "matrix.svg"
matrix = rgen.random(size=(m, n))
colours = ["#f5d72a", "#ffffff", "#2182af"]
# colours = ["#ff0000", "#00ff00", "#0000ff"]
cmap = LinearGradientColourMap(colours, matrix.min(), matrix.max())
# cmap = RandomColourMap()
items = []
items.append(svg.Style(text=".mono { font: monospace; text-align: center;}"))
items.append(svg.Style(text=".small { font-size: 25%; }"))
for i, y in enumerate(range(gap, total_height, gap + height)):
for j, x in enumerate(range(gap, total_width, gap + width)):
items.append(
svg.Rect(
x=x,
y=y,
width=width,
height=height,
stroke="transparent",
fill=cmap(matrix[i, j]),
)
)
if text:
items.append(
svg.Text(
x=x + width / 5,
y=y + 3 * height / 4,
textLength=width / 2,
lengthAdjust="spacingAndGlyphs",
class_=["mono"],
text=f"{matrix[i, j]:.02f}",
)
)
items.append(colourbar(cmap, matrix.min(), matrix.max(), height=100))
content = svg.SVG(width=total_width, height=total_height, elements=items)
with open(filename, "w") as f:
f.write(str(content))

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pyproject.toml Normal file
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[project]
name = "newplot"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"numpy>=2.1.3",
"svg-py>=1.5.0",
]

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uv.lock Normal file
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version = 1
requires-python = ">=3.12"
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version = "0.1.0"
source = { virtual = "." }
dependencies = [
{ name = "numpy" },
{ name = "svg-py" },
]
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requires-dist = [
{ name = "numpy", specifier = ">=2.1.3" },
{ name = "svg-py", specifier = ">=1.5.0" },
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