| Name | suraida JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | Creates a simple GUI for interactive plotting with sliders |
| upload_time | 2025-01-09 18:21:01 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | BSD |
| keywords |
interactive
plotting
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
`suraida` is a lightweight package facilitating
interactive plotting similar to Mathematica's `Manipulate`.
Do you want to visualize a function and "play" with its parameters?
Jump into a jupyter notebook, import `suraida` and use
its `Manipulate` class like this:
```python
import suraida as sr
import numpy as np
def func(z, amplitude, omega, phase):
return amplitude * np.sin(omega * z + phase)
sr.Manipulate(func, # the numerical function we wish to plot and manipulate parameters via sliders
var_def=["z", 0, 7, 0.1], # definition of the variable against which to plot `func`, specifying min, max and step
param_defs=[
["phase", [i*np.pi/5 for i in range(5)]], # phase as list of allowed values
["amplitude", 0, 2, 0.1], # amplitude with min, max and step, default initial value is midpoint between min and max
["omega", 0, 4, 0.1, 1.0] # omega with min, max, step, ini
]
)
```
<img src="https://github.com/scqubits/suraida/blob/main/display.gif" width="800" />
Raw data
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