CurvePipe is designed to efficiently manipulate sets of curves without using Dataframes or Arrays.
You can transform curves in a Java stream-like syntax.
The following command
- scales and adds an offset to the x-values of the curve
- computes the logarithm for each y-value
cpipe = CurvePipe(x=[0, 0.1, 0.2, 0.3, 0.4], y=[1, 2, 3, 3, 4])\
.scale_x(2)\
.offset_x(20.1) \
.transform_y(lambda v: math.log(v))
The result is a CurvePipe-Object containing the transformed curve. You can acces the x- and y- values via the attributes x and y.
1 maintainer
Metadata
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Release files for curvepipe 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| curvepipe-0.0.2.tar.gz | 2.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| curvepipe-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 kB
Release files / curvepipe-0.0.2.tar.gz
| Download URL | curvepipe-0.0.2.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
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Release files / curvepipe-0.0.2-py3-none-any.whl
| Download URL | curvepipe-0.0.2-py3-none-any.whl |
|---|---|
| Size | 3.4 kB |
| Tags | Python 3 |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.9.2
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