Skip to main content

Python package making it easier to handle mixed 3d and 2d subplots.

Project description

Travis CI build SonarCloud Quality SonarCloud Maintainability Codacy Maintainability Maintainability Pypi project Pypi total project downloads

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:

Coveralls Coverage SonarCloud Coverage Code Climate Coverate

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
import os
from sklearn import datasets
from sklearn.preprocessing import MinMaxScaler
from sklearn.decomposition import PCA
from numpy.linalg import norm



def my_func(xs, ys, zs, *args, **kwargs):
    fig, axes = subplots(1, 3, figsize=(9, 3))
    X = MinMaxScaler().fit_transform(np.array([xs, ys, zs]).T)
    distances = 1-norm(X-np.array([1,1,1]), axis=1, ord=2)
    for axis in axes.flatten():
        axis.scatter(*X.T, **kwargs, zorder=distances)
    fig.tight_layout()
    return fig


def test_rotate():
    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, depthshade=False, c=colors, marker='o', s=20)

Output:

https://github.com/LucaCappelletti94/ddd_subplots/blob/master/test.gif?raw=true

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ddd_subplots-1.0.2.tar.gz (4.9 kB view details)

Uploaded Source

File details

Details for the file ddd_subplots-1.0.2.tar.gz.

File metadata

  • Download URL: ddd_subplots-1.0.2.tar.gz
  • Upload date:
  • Size: 4.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for ddd_subplots-1.0.2.tar.gz
Algorithm Hash digest
SHA256 c9bb47f29aa9ce2108e90eac7b2b57264034fe8f2482aa88c1e90fa771e9df55
MD5 bb0fad04eb709f36388643b5a8b83b4e
BLAKE2b-256 5177c7e34e42328797c16cf54fb0dcee64e581cb80d925a9a301628d79ccea06

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page