A small framework for generating simple, reproducible graphs.
Example
@recipe
def sine_wave():
g = Graph()
g.x = numpy.arange(0.0, 10.0, 0.01)
g.y = numpy.sin(g.x)
return gThis defines a graph of the sin(x) function in the interval 0 ≤ x ≤ 10.
To save the graph to disk, call sine_wave().save(). To save all
recipes, call graphbutler.save_all(). To show a preview, call
sine_wave().show().
For more examples, see the examples directory.
Status
This project is in an experimental stage. Feel free to open an issue on Github and I’ll get back to you in a couple of days!
1 maintainer
Release files for graphbutler 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| graphbutler-0.2.0.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| graphbutler-0.2.0-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 6.7 kB
Release files / graphbutler-0.2.0.tar.gz
| Download URL | graphbutler-0.2.0.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a676595350290d8052b75135bb08faea7376de0e1750d2914c9c779d9ae46136
|
|
BLAKE2b-256 checksum How to use checksums |
fff625275bf6a5b6e3e5d18003b4678b180b14c655fd0d4aaaca0f6b6be89991
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / graphbutler-0.2.0-py2-none-any.whl
| Download URL | graphbutler-0.2.0-py2-none-any.whl |
|---|---|
| Size | 3.9 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
b66906ef99b5bad6be05db0db4137721198b557d116feed332bc1c248c271c95
|
|
BLAKE2b-256 checksum How to use checksums |
487ec696b843b52fce0757943c578b50fbb25892b60d3578f0955c7857492fd9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
