# Simple Bresenham implementation
This is a very simple Bresenham implementation for enumerating pixels along a line
including a very simple anti aliased version. It's the felt infinite implementation
out there and has been implemented during enhancement of a tomography reconstruction
library for personal use.
## Dependencies
* ```numpy >= 1.25```
## Installation
```
pip install pybresenham-tspspi
```
## Usage
### Simple lines
```
import matplotlib.pyplot as plt
import numpy as np
from bresenham.bresenham import trace_line
fig, ax = plt.subplots()
img = np.zeros((51, 21))
for pt in trace_line((-25,-10),(10,10)):
img[int(pt[0]) + 25, int(pt[1]) + 10] = 1
ax.imshow(img)
```
### Simple lines using callbacks
```
from bresenham.bresenham import trace_line
def mycallback(point):
print(f"Point at {point[0]} x {point[1]}")
trace_line((-25,-10),(10,10),mycallback)
```
### Antialiased lines
```
import matplotlib.pyplot as plt
import numpy as np
from bresenham.bresenham import trace_line_antialiased_it
fig, ax = plt.subplots()
imgaa = np.zeros((51, 21))
for pt, weight in trace_line_antialiased_it((-25,-10),(10,10)):
imgaa[int(pt[0]) + 25, int(pt[1]) + 10] = weight
ax.imshow(imgaa)
```
### Antialiased lines using callbacks
```
from bresenham.bresenham import trace_line_antialiased
def mycallback(point, weight):
print(f"Point at {point[0]} x {point[1]} with weight {weight}")
trace_line_antialiased((-25,-10),(10,10),mycallback)
```
Raw data
{
"_id": null,
"home_page": "https://github.com/tspspi/pybresenham",
"name": "pybresenham-tspspi",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": null,
"author": "Thomas Spielauer",
"author_email": "pypipackages01@tspi.at",
"download_url": "https://files.pythonhosted.org/packages/93/1d/e72be66857b78b1a79c7ff1695e3e0603dbec6da1735c4a0dbfa88301291/pybresenham-tspspi-0.0.2.tar.gz",
"platform": null,
"description": "# Simple Bresenham implementation\n\nThis is a very simple Bresenham implementation for enumerating pixels along a line\nincluding a very simple anti aliased version. It's the felt infinite implementation\nout there and has been implemented during enhancement of a tomography reconstruction\nlibrary for personal use.\n\n\n\n## Dependencies\n\n* ```numpy >= 1.25```\n\n## Installation\n\n```\npip install pybresenham-tspspi\n```\n\n## Usage\n\n### Simple lines\n\n```\nimport matplotlib.pyplot as plt\nimport numpy as np\n\nfrom bresenham.bresenham import trace_line\n\nfig, ax = plt.subplots()\n\nimg = np.zeros((51, 21))\nfor pt in trace_line((-25,-10),(10,10)):\n img[int(pt[0]) + 25, int(pt[1]) + 10] = 1\nax.imshow(img)\n```\n\n### Simple lines using callbacks\n\n```\nfrom bresenham.bresenham import trace_line\n\ndef mycallback(point):\n print(f\"Point at {point[0]} x {point[1]}\")\n\ntrace_line((-25,-10),(10,10),mycallback)\n```\n\n### Antialiased lines\n\n```\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom bresenham.bresenham import trace_line_antialiased_it\n\nfig, ax = plt.subplots()\n\nimgaa = np.zeros((51, 21))\nfor pt, weight in trace_line_antialiased_it((-25,-10),(10,10)):\n imgaa[int(pt[0]) + 25, int(pt[1]) + 10] = weight\nax.imshow(imgaa)\n```\n\n### Antialiased lines using callbacks\n\n```\nfrom bresenham.bresenham import trace_line_antialiased\n\ndef mycallback(point, weight):\n print(f\"Point at {point[0]} x {point[1]} with weight {weight}\")\n\ntrace_line_antialiased((-25,-10),(10,10),mycallback)\n```\n",
"bugtrack_url": null,
"license": null,
"summary": "A very simple implementation of Bresenham algorithm implementations",
"version": "0.0.2",
"project_urls": {
"Homepage": "https://github.com/tspspi/pybresenham"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "828156c8b872d10c377210b1f83617a47ad958e4b01e5b0f4428cc39bf0838f4",
"md5": "cfc0246f564750080dd4852121740a8c",
"sha256": "b927951ce5298006160821066c69355ccafdf83fa6f3d68add985b497f8d13ad"
},
"downloads": -1,
"filename": "pybresenham_tspspi-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "cfc0246f564750080dd4852121740a8c",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 3851,
"upload_time": "2024-04-06T23:19:05",
"upload_time_iso_8601": "2024-04-06T23:19:05.327589Z",
"url": "https://files.pythonhosted.org/packages/82/81/56c8b872d10c377210b1f83617a47ad958e4b01e5b0f4428cc39bf0838f4/pybresenham_tspspi-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "931de72be66857b78b1a79c7ff1695e3e0603dbec6da1735c4a0dbfa88301291",
"md5": "0f4b4e3c7ac629c30b51bc35b78999fd",
"sha256": "6d3df4a612c21e1883d486800f5e9f1ecccbe53ee22e9c09731fccf64dacc96c"
},
"downloads": -1,
"filename": "pybresenham-tspspi-0.0.2.tar.gz",
"has_sig": false,
"md5_digest": "0f4b4e3c7ac629c30b51bc35b78999fd",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 3508,
"upload_time": "2024-04-06T23:19:07",
"upload_time_iso_8601": "2024-04-06T23:19:07.103529Z",
"url": "https://files.pythonhosted.org/packages/93/1d/e72be66857b78b1a79c7ff1695e3e0603dbec6da1735c4a0dbfa88301291/pybresenham-tspspi-0.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-06 23:19:07",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "tspspi",
"github_project": "pybresenham",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "pybresenham-tspspi"
}
JSON
