Some tools for matplotlib
Project description
mplshared
Some tools for matplotlib.
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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
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