Python package making it easier to handle mixed 3d and 2d subplots.
Project description
Python package making it easier to handle mixed 3d and 2d subplots.
How do I install this package?
As usual, just download it using pip:
pip install ddd_subplots
Tests Coverage
Since some software handling coverages sometime get slightly different results, here’s three of them:
Usage Example
3D subplots
To get a set of 3d subplots just import subplots:
from ddd_subplots import subplots fig, axes = subplots(1, 3, figsize=(15, 5))
Rotating 3D scatter plots
The library also offers a method to render 3D scatter plots. Here’s a complete example:
from ddd_subplots import subplots, rotate import numpy as np from sklearn import datasets from sklearn.decomposition import PCA def my_func(xs: np.ndarray, ys: np.ndarray, zs: np.ndarray, *args, **kwargs): fig, axes = subplots(1, 3, figsize=(9, 3)) axs = axes.flatten() axs[0].scatter(xs, ys, zs, **kwargs) axs[1].scatter(ys, zs, xs, **kwargs) axs[2].scatter(zs, xs, ys, **kwargs) fig.tight_layout() return fig, axes X, y = datasets.load_iris(return_X_y=True) X_reduced = PCA(n_components=3).fit_transform(X) colors = np.array(["red", "green", "blue"])[y] rotate(my_func, *X_reduced.T, path="test.gif", duration=2, fps=24, c=colors, marker='o', s=20)
Output:
Known limits
There is an error with CoreFoundations and multiprocessing on MacOS, which states the following:
The process has forked and you cannot use this CoreFoundation functionality safely. You MUST exec(). Break on __THE_PROCESS_HAS_FORKED_AND_YOU_CANNOT_USE_THIS_COREFOUNDATION_FUNCTIONALITY___YOU_MUST_EXEC__() to debug.
This is a weird known error of MacOS Sierra. For now, the only available solution is to disable multiprocessing when dealing with matplotlib. Any alternative valid solutions are welcome:
rotate(my_func, *X_reduced.T, path="test.gif", duration=2, fps=24, parallelize=False, c=colors, marker='o', s=20)
Project details
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Filename, size | File type | Python version | Upload date | Hashes |
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Filename, size ddd_subplots-1.0.7.tar.gz (5.4 kB) | File type Source | Python version None | Upload date | Hashes View |