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_subplotsTests 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:
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ddd_subplots-1.0.3.tar.gz
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