Merge pull request #390 from nschloe/remove-scipy-test-dep

Remove scipy test dep

.github/workflows/ci.yml

@@ -9,10 +9,9 @@ jobs:
     - uses: actions/setup-python@v1
       with:
         python-version: "3.x"
-    - uses: actions/checkout@v1
+    - uses: actions/checkout@v2
     - name: Lint with flake8
       run: |
-        pip install --upgrade pip
         pip install flake8
         flake8 .
     - name: Lint with black
@@ -22,16 +21,18 @@ jobs:
 
   build:
     runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: [3.6, 3.7, 3.8]
     steps:
     - uses: actions/setup-python@v1
       with:
         python-version: "3.x"
-    - uses: actions/checkout@v1
+    - uses: actions/checkout@v2
     - name: Install dependencies
-      run: sudo apt-get install -y texlive-latex-base texlive-latex-extra context python3-tk python3-scipy
+      run: sudo apt-get install -y texlive-latex-base texlive-latex-extra context python3-tk
     - name: Install package
       run: |
-        pip install --upgrade pip
         pip install .
     - name: Extract tests from README
       run: |

README.md

@@ -1,12 +1,14 @@
 <p align="center">
-  <img alt="tikzplotlib" src="https://nschloe.github.io/tikzplotlib/logo-tikzplotlib.svg" width="60%">
+  <a href="https://github.com/nschloe/tikzplotlib"><img alt="tikzplotlib" src="https://nschloe.github.io/tikzplotlib/logo-tikzplotlib.svg" width="60%"></a>
+  <p align="center">The artist formerly known as _matplotlib2tikz._</p>
 </p>
 
 [![CircleCI](https://img.shields.io/circleci/project/github/nschloe/tikzplotlib/master.svg?style=flat-square)](https://circleci.com/gh/nschloe/tikzplotlib/tree/master)
 [![codecov](https://img.shields.io/codecov/c/github/nschloe/tikzplotlib.svg?style=flat-square)](https://codecov.io/gh/nschloe/tikzplotlib)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)
 [![Documentation Status](https://readthedocs.org/projects/tikzplotlib/badge/?version=latest&style=flat-square)](https://readthedocs.org/projects/tikzplotlib/?badge=latest)
 [![awesome](https://img.shields.io/badge/awesome-yes-brightgreen.svg?style=flat-square)](https://github.com/nschloe/tikzplotlib)
+[![PyPI pyversions](https://img.shields.io/pypi/pyversions/tikzplotlib.svg?style=flat-square)](https://pypi.org/pypi/tikzplotlib/)
 [![PyPi Version](https://img.shields.io/pypi/v/tikzplotlib.svg?style=flat-square)](https://pypi.org/project/tikzplotlib)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1173089.svg?style=flat-square)](https://doi.org/10.5281/zenodo.1173089)
 [![GitHub stars](https://img.shields.io/github/stars/nschloe/tikzplotlib.svg?style=flat-square&logo=github&label=Stars&logoColor=white)](https://github.com/nschloe/tikzplotlib)
@@ -105,11 +107,11 @@ Notably, [3D plots don't work](https://github.com/matplotlib/matplotlib/issues/7
 ### Installation
 
 tikzplotlib is [available from the Python Package
-Index](https://pypi.org/project/tikzplotlib/), so simply type
+Index](https://pypi.org/project/tikzplotlib/), so simply do
 ```
-pip3 install tikzplotlib --user
+pip install tikzplotlib
 ```
-to install/update.
+to install.
 
 
 ### Usage

setup.py

@@ -26,8 +26,10 @@
         about["__status__"],
         about["__license__"],
         "Operating System :: OS Independent",
-        "Programming Language :: Python",
         "Programming Language :: Python :: 3",
+        "Programming Language :: Python :: 3.6",
+        "Programming Language :: Python :: 3.7",
+        "Programming Language :: Python :: 3.8",
         "Topic :: Multimedia :: Graphics :: Graphics Conversion",
         "Topic :: Scientific/Engineering :: Visualization",
     ],

test/test_contourf.py

@@ -1,13 +1,10 @@
 import matplotlib.pyplot as plt
 import numpy as np
-from scipy.stats import multivariate_normal
 
 from helpers import assert_equality
 
 
 def plot():
-    mean = np.array([1, 1])
-    cov = np.eye(2)
     nbins = 5
 
     fig = plt.figure()
@@ -22,7 +19,7 @@ def plot():
     pos = np.empty(xi.shape + (2,))
     pos[:, :, 0] = xi
     pos[:, :, 1] = yi
-    zi = multivariate_normal(mean, cov, allow_singular=True, seed=0).pdf(pos)
+    zi = 2 - (xi - 1) ** 2 - (yi - 1) ** 2
     ax.contourf(xi, yi, zi, 250)
 
     ax.set_xlim(x_min, x_max)
@@ -36,7 +33,9 @@ def test():
 
 
 if __name__ == "__main__":
-    import helpers
+    plot()
+    plt.show()
+    # import helpers
 
-    helpers.compare_mpl_tex(plot)
+    # helpers.compare_mpl_tex(plot)
     # helpers.print_tree(plot())