mplshared

Some tools for matplotlib.

|PyPI version fury.io| |PyPI license|

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Usage

.. code-block::

pip install --upgrade mplshared

Slope Lines :::::::::::

In plots with linearly scaling axes:

.. code-block:: ipython

import matplotlib.pyplot as plt
from mplshared import SlopeLine

# Get some random data:
x = np.linspace(0, 10, 100)
y = noisify(2 * x + 3)

# Plot it:
plt.plot(x, y)

# Add a slope line:

slope_line = SlopeLine(slope=2, through=(x[5], y[5]), domain=(0, 10))
plt.gca().add_line(slope_line)
plt.show()

.. image:: docs/pyplots/slopeline_linear.png :width: 600 :align: center

If you have a loglog plot, just change the scale argument:

.. code-block:: ipython

slope_line = SlopeLine(slope=2,
                   through=(x[40], y[40]),
                   domain=(1, 100),
                   scale='loglog',
                   style={'color': 'red'}
                   )

.. image:: docs/pyplots/slopeline_loglog.png :width: 600 :align: center

StepFunctionLine

.. code-block:: ipython

import numpy as np
import matplotlib.pyplot as plt

from mplshared import StepFunctionLine

x = np.linspace(-3, 3, 20)
y = np.sin(x)

sf1 = StepFunctionLine(x, y, linewidth=3, color='red')
plt.gca().add_line(sf1)
sf1.autolims(plt)
plt.show()

.. image:: docs/pyplots/stepfunction_1.png :width: 600 :align: center