Module PYFIG
Module for manipulating windows/figures created using pylab or enthought.mayavi.mlab on the windows platform.
Figure manipulation involves maximization, minimization, hiding, closing, stacking or tiling.
This module assumes that the figures are uniquely numbered in the following way: Figure 1 Figure 2 …. or TVTK scene 1 TVTK scene 2 TVTK scene 3 …
Example
>>> import pylab as p
>>> import pyfig as fig
>>> for ix in range(6): f = p.figure(ix)
>>> fig.stack('all')
>>> fig.stack(1,2)
>>> fig.hide(1)
>>> fig.restore(1)
>>> fig.tile()
>>> fig.pile()
>>> fig.maximize(4)
>>> fig.close('all')
Release files for pyfig 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Pyfig-0.1.zip | 8.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Pyfig-0.1.win32.exe | Details |
Total release size: 80.2 kB
Release files / Pyfig-0.1.zip
| Download URL | Pyfig-0.1.zip |
|---|---|
| Size | 8.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / Pyfig-0.1.win32.exe
| Download URL | Pyfig-0.1.win32.exe |
|---|---|
| Size | 71.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |