8000 DOC: Tiny fixes, and possible overhaul, of the two scales example in the gallery by afvincent · Pull Request #10320 · matplotlib/matplotlib · GitHub
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DOC: Tiny fixes, and possible overhaul, of the two scales example in the gallery #10320

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Merged
jklymak merged 5 commits into from
Jan 25, 2018
Merged

DOC: Tiny fixes, and possible overhaul, of the two scales example in the gallery #10320

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367647e
use tight_layout + typos/minor fixes
afvincent Jan 25, 2018
fdb5900
signicant overhaul (of the style) of the example
afvincent Jan 25, 2018
883c314
get rid of the remaining helper function
afvincent Jan 25, 2018
ce43564
rephrase some of the comments
afvincent Jan 25, 2018
d7696fe
overhaul of the overhaul
afvincent Jan 25, 2018
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71 changes: 16 additions & 55 deletions examples/api/two_scales.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,64 +17,25 @@
import numpy as np
import matplotlib.pyplot as plt


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)
s2 = np.sin(2 * np.pi * t)
data1 = np.exp(t)
data2 = np.sin(2 * np.pi * t)

fig, ax1 = plt.subplots()

color = 'tab:red'
ax1.set_xlabel('time (s)')
ax1.set_ylabel('exp', color=color)
ax1.plot(t, data1, color=color)
ax1.tick_params(axis='y', labelcolor=color)

# Create axes
fig, ax = plt.subplots()
ax1, ax2 = two_scales(ax, t, s1, s2, 'r', 'b')
ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis

color = 'tab:blue'
ax2.set_ylabel('sin', color=color) # we already handled the x-label with ax1
ax2.plot(t, data2, color=color)
ax2.tick_params(axis='y', labelcolor=color)

# 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')
fig.tight_layout() # otherwise the right y-label is slightly clipped
plt.show()
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