README.rst
DDD Subplots
=========================================================================================
|pip| |downloads|
Python package making it easier to handle mixed 3d and 2d subplots.
How do I install this package?
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As usual, just download it using pip:
.. code:: shell
pip install ddd_subplots
Usage Example
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3D subplots
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
To get a set of 3d subplots just import `subplots`:
.. code:: python
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:
.. code:: python
from ddd_subplots import subplots, rotate
import numpy as np
from sklearn import datasets
from sklearn.decomposition import PCA
def write_frame(X_reduced, y):
colors = np.array(["red", "green", "blue"])[y]
fig, axes = subplots(1, 3, figsize=(15, 5))
for axis in axes.flatten():
axis.scatter(*X_reduced.T, depthshade=False,
c=colors, marker='o', s=20)
fig.tight_layout()
return fig, axes
X, y = datasets.load_iris(return_X_y=True)
X_reduced = PCA(n_components=3).fit_transform(X)
rotate(
write_frame,
X_reduced,
"test_animation.gif",
y,
duration=10,
verbose=True
)
Output:
.. image:: https://github.com/LucaCappelletti94/ddd_subplots/blob/master/test_animation.gif?raw=true
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