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Merged
QuLogic merged 4 commits into from
Oct 18, 2016
Merged

Changed Examples for Pep8 Compliance #7298

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f3e8209
Made pep8 compliant
Oct 11, 2016
23e47ff
Finished documenting examples and making pep8 compliant.
Oct 17, 2016
b351907
updated to remove whitespace as well as fix comments
Oct 18, 2016
79fc933
Fixed Capitalization
Oct 18, 2016
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33 changes: 18 additions & 15 deletions examples/axisartist/demo_floating_axis.py
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Original file line number Diff line number Diff line change
@@ -1,30 +1,35 @@
"""
An experimental support for curvilinear grid.
Axis within rectangular frame

The following code demonstrates how to put a floating
polar curve within a rectangular box. In order to get
a better sense of polar curves, please look at
demo_curvelinear_grid.py.
"""
import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.axisartist.angle_helper as angle_helper
from matplotlib.projections import PolarAxes
from matplotlib.transforms import Affine2D
from mpl_toolkits.axisartist import SubplotHost
from mpl_toolkits.axisartist import GridHelperCurveLinear


def curvelinear_test2(fig):
"""
polar projection, but in a rectangular box.
"""
global ax1
import numpy as np
import mpl_toolkits.axisartist.angle_helper as angle_helper
from matplotlib.projections import PolarAxes
from matplotlib.transforms import Affine2D

from mpl_toolkits.axisartist import SubplotHost

from mpl_toolkits.axisartist import GridHelperCurveLinear

# see demo_curvelinear_grid.py for details
tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
tr = Affine2D().scale(np.pi / 180., 1.) + PolarAxes.PolarTransform()

extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
extreme_finder = angle_helper.ExtremeFinderCycle(20,
20,
lon_cycle=360,
lat_cycle=None,
lon_minmax=None,
lat_minmax=(0, np.inf),
lat_minmax=(0,
np.inf),
)

grid_locator1 = angle_helper.LocatorDMS(12)
Expand All @@ -43,7 +48,6 @@ def curvelinear_test2(fig):

# Now creates floating axis

#grid_helper = ax1.get_grid_helper()
# floating axis whose first coordinate (theta) is fixed at 60
ax1.axis["lat"] = axis = ax1.new_floating_axis(0, 60)
axis.label.set_text(r"$\theta = 60^{\circ}$")
Expand All @@ -59,7 +63,6 @@ def curvelinear_test2(fig):

ax1.grid(True)

import matplotlib.pyplot as plt
fig = plt.figure(1, figsize=(5, 5))
fig.clf()

Expand Down
69 changes: 38 additions & 31 deletions examples/axisartist/demo_parasite_axes2.py
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Original file line number Diff line number Diff line change
@@ -1,45 +1,52 @@
"""
Parasite axis demo

The following code is an example of a parasite axis.
It aims to show a user how to plot multiple different values
onto one single plot. Notice how in this example, par1 and
par2 are both calling twinx meaning both are tied directly to
the x-axis. From there, each of those two axis can behave
separately from the each other, meaning they can take on
seperate values from themselves as well as the x-axis.
"""
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
import matplotlib.pyplot as plt

if 1:
host = host_subplot(111, axes_class=AA.Axes)
plt.subplots_adjust(right=0.75)

host = host_subplot(111, axes_class=AA.Axes)
plt.subplots_adjust(right=0.75)
par1 = host.twinx()
par2 = host.twinx()

par1 = host.twinx()
par2 = host.twinx()
offset = 60
new_fixed_axis = par2.get_grid_helper().new_fixed_axis
par2.axis["right"] = new_fixed_axis(loc="right",
axes=par2,
offset=(offset, 0))

offset = 60
new_fixed_axis = par2.get_grid_helper().new_fixed_axis
par2.axis["right"] = new_fixed_axis(loc="right",
axes=par2,
offset=(offset, 0))
par2.axis["right"].toggle(all=True)

par2.axis["right"].toggle(all=True)
host.set_xlim(0, 2)
host.set_ylim(0, 2)

host.set_xlim(0, 2)
host.set_ylim(0, 2)
host.set_xlabel("Distance")
host.set_ylabel("Density")
par1.set_ylabel("Temperature")
par2.set_ylabel("Velocity")

host.set_xlabel("Distance")
host.set_ylabel("Density")
par1.set_ylabel("Temperature")
par2.set_ylabel("Velocity")
p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")

p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")
par1.set_ylim(0, 4)
par2.set_ylim(1, 65)

par1.set_ylim(0, 4)
par2.set_ylim(1, 65)
host.legend()

host.legend()
host.axis["left"].label.set_color(p1.get_color())
par1.axis["right"].label.set_color(p2.get_color())
par2.axis["right"].label.set_color(p3.get_color())

host.axis["left"].label.set_color(p1.get_color())
par1.axis["right"].label.set_color(p2.get_color())
par2.axis["right"].label.set_color(p3.get_color())

plt.draw()
plt.show()

#plt.savefig("Test")
plt.draw()
plt.show()
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