Use geometric objects as matplotlib paths and patches
This project has been archived.
The maintainers of this project have marked this project as archived. No new releases are expected.
Project description
Use Shapely or GeoJSON-like geometric objects as matplotlib paths and patches
Requires: matplotlib, numpy, and optionally Shapely 1.2+.
Example:
from matplotlib import pyplot
from shapely.geometry import LineString
from descartes import PolygonPatch
BLUE = '#6699cc'
GRAY = '#999999'
def plot_line(ax, ob):
x, y = ob.xy
ax.plot(x, y, color=GRAY, linewidth=3, solid_capstyle='round', zorder=1)
line = LineString([(0, 0), (1, 1), (0, 2), (2, 2), (3, 1), (1, 0)])
fig = pyplot.figure(1, figsize=(10, 4), dpi=180)
# 1
ax = fig.add_subplot(121)
plot_line(ax, line)
dilated = line.buffer(0.5)
patch1 = PolygonPatch(dilated, fc=BLUE, ec=BLUE, alpha=0.5, zorder=2)
ax.add_patch(patch1)
#2
ax = fig.add_subplot(122)
patch2a = PolygonPatch(dilated, fc=GRAY, ec=GRAY, alpha=0.5, zorder=1)
ax.add_patch(patch2a)
eroded = dilated.buffer(-0.3)
# GeoJSON-like data works as well
polygon = eroded.__geo_interface__
# >>> geo['type']
# 'Polygon'
# >>> geo['coordinates'][0][:2]
# ((0.50502525316941682, 0.78786796564403572), (0.5247963548222736, 0.8096820147509064))
patch2b = PolygonPatch(polygon, fc=BLUE, ec=BLUE, alpha=0.5, zorder=2)
ax.add_patch(patch2b)
pyplot.show()
See also: examples/patches.py.
Descartes is not associated with the identically named and apparently defunct project at http://descartes.sourceforge.net/.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file descartes-1.1.0.tar.gz.
File metadata
- Download URL: descartes-1.1.0.tar.gz
- Upload date:
- Size: 3.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
135a502146af5ed6ff359975e2ebc5fa4b71b5432c355c2cafdc6dea1337035b
|
|
| MD5 |
ac608090f3c9f6e0ce856fdc29944096
|
|
| BLAKE2b-256 |
1d6f81735a30432b74f41db6754dd13869021ccfed3088d1cf7a6cfc0af9ac49
|
File details
Details for the file descartes-1.1.0-py3-none-any.whl.
File metadata
- Download URL: descartes-1.1.0-py3-none-any.whl
- Upload date:
- Size: 5.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4c62dc41109689d03e4b35de0a2bcbdeeb81047badc607c4415d5c753bd683af
|
|
| MD5 |
eda7c3b1cef798ee4878d96c718b2cef
|
|
| BLAKE2b-256 |
e5b61ed2eb03989ae574584664985367ba70cd9cf8b32ee8cad0e8aaeac819f3
|
File details
Details for the file descartes-1.1.0-py2-none-any.whl.
File metadata
- Download URL: descartes-1.1.0-py2-none-any.whl
- Upload date:
- Size: 5.8 kB
- Tags: Python 2
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b7e412e7e6e294412f1d0f661f187babc970088c2456089e6801eebb043c2e1b
|
|
| MD5 |
fe9c91d7ca7f24d84ad0aa3eb8087868
|
|
| BLAKE2b-256 |
e729b23b57c92a1cf58da25070c10cab90fb38de22523ef7bdc76acdad717645
|