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Function wrapper for examples/api/two_scales.py #7831

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72 changes: 56 additions & 16 deletions examples/api/two_scales.py
Original file line number Diff line number Diff line change
Expand Up @@ -13,28 +13,68 @@
Such axes are generated by calling the `Axes.twinx` method. Likewise,
`Axes.twiny` is available to generate axes that share a *y* axis but
have different top and bottom scales.

The twinx and twiny methods are also exposed as pyplot functions.

"""

import numpy as np
import matplotlib.pyplot as plt

fig, ax1 = plt.subplots()

def two_scales(ax1, time, data1, data2, c1, c2):
"""

Parameters
----------
ax : axis
Axis to put two scales on

time : array-like
x-axis values for both datasets

data1: array-like
Data for left hand scale

data2 : array-like
Data for right hand scale

c1 : color
Color for line 1

c2 : color
Color for line 2

Returns
-------
ax : axis
Original axis
ax2 : axis
New twin axis
"""
ax2 = ax1.twinx()

ax1.plot(time, data1, color=c1)
ax1.set_xlabel('time (s)')
ax1.set_ylabel('exp')

ax2.plot(time, data2, color=c2)
ax2.set_ylabel('sin')
return ax1, ax2


# Create some mock data
t = np.arange(0.01, 10.0, 0.01)
s1 = np.exp(t)
ax1.plot(t, s1, 'b-')
ax1.set_xlabel('time (s)')
# Make the y-axis label, ticks and tick labels match the line color.
ax1.set_ylabel('exp', color='b')
ax1.tick_params('y', colors='b')

ax2 = ax1.twinx()
s2 = np.sin(2 * np.pi * t)
ax2.plot(t, s2, 'r.')
ax2.set_ylabel('sin', color='r')
ax2.tick_params('y', colors='r')

fig.tight_layout()
# Create axes
fig, ax = plt.subplots()
ax1, ax2 = two_scales(ax, t, s1, s2, 'r', 'b')


# Change color of each axis
def color_y_axis(ax, color):
"""Color your axes."""
for t in ax.get_yticklabels():
t.set_color(color)
return None
color_y_axis(ax1, 'r')
color_y_axis(ax2, 'b')
plt.show()