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merged 3 commits into from
Jun 6, 2016
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Examples #6505

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9158c69
DOC: make example a bit wider + remove lines
tacaswell May 30, 2016
f649739
DOC: tweak showcase example
tacaswell May 30, 2016
b3c21d3
DOC: tweak demo a bit
tacaswell May 30, 2016
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6 changes: 1 addition & 5 deletions examples/color/named_colors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@
ncols = 4
nrows = int(np.ceil(1. * n / ncols))

fig, ax = plt.subplots()
fig, ax = plt.subplots(figsize=(8, 5))

X, Y = fig.get_dpi() * fig.get_size_inches()

Expand All @@ -49,10 +49,6 @@
horizontalalignment='left',
verticalalignment='center')

# Add extra black line a little bit thicker to make
# clear colors more visible.
ax.hlines(
y, xi_line, xf_line, color='black', linewidth=(h * 0.7))
ax.hlines(
y + h * 0.1, xi_line, xf_line, color=colors[name], linewidth=(h * 0.6))

Expand Down
20 changes: 10 additions & 10 deletions examples/pylab_examples/csd_demo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,8 +5,10 @@
import numpy as np
import matplotlib.pyplot as plt


fig, (ax1, ax2) = plt.subplots(2, 1)
# make a little extra space between the subplots
plt.subplots_adjust(wspace=0.5)
fig.subplots_adjust(hspace=0.5)

dt = 0.01
t = np.arange(0, 30, dt)
Expand All @@ -21,14 +23,12 @@
s1 = 0.01*np.sin(2*np.pi*10*t) + cnse1
s2 = 0.01*np.sin(2*np.pi*10*t) + cnse2

plt.subplot(211)
plt.plot(t, s1, t, s2)
plt.xlim(0, 5)
plt.xlabel('time')
plt.ylabel('s1 and s2')
plt.grid(True)
ax1.plot(t, s1, t, s2)
ax1.set_xlim(0, 5)
ax1.set_xlabel('time')
ax1.set_ylabel('s1 and s2')
ax1.grid(True)

plt.subplot(212)
cxy, f = plt.csd(s1, s2, 256, 1./dt)
plt.ylabel('CSD (db)')
cxy, f = ax2.csd(s1, s2, 256, 1./dt)
ax2.set_ylabel('CSD (db)')
plt.show()
12 changes: 7 additions & 5 deletions examples/showcase/bachelors_degrees_by_gender.py
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Expand Up @@ -27,10 +27,12 @@
ax.get_xaxis().tick_bottom()
ax.get_yaxis().tick_left()

fig.subplots_adjust(left=.06, right=.75, bottom=.02, top=.94)
# Limit the range of the plot to only where the data is.
# Avoid unnecessary whitespace.
plt.xlim(1968.5, 2011.1)
plt.ylim(-0.25, 90)
ax.set_xlim(1968.5, 2011.1)
ax.set_ylim(-0.25, 90)
ax.get_xaxis().get_major_formatter().set_useOffset(False)

# Make sure your axis ticks are large enough to be easily read.
# You don't want your viewers squinting to read your plot.
Expand Down Expand Up @@ -91,10 +93,10 @@

# Note that if the title is descriptive enough, it is unnecessary to include
# axis labels; they are self-evident, in this plot's case.
plt.title('Percentage of Bachelor\'s degrees conferred to women in '
'the U.S.A. by major (1970-2011)\n', fontsize=18, ha='center')
fig.suptitle('Percentage of Bachelor\'s degrees conferred to women in '
'the U.S.A. by major (1970-2011)\n', fontsize=18, ha='center')

# Finally, save the figure as a PNG.
# You can also save it as a PDF, JPEG, etc.
# Just change the file extension in this call.
plt.savefig('percent-bachelors-degrees-women-usa.png', bbox_inches='tight')
# plt.savefig('percent-bachelors-degrees-women-usa.png', bbox_inches='tight')