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[examples/api] autopep8 + use np.radians/np.degree where appropriate #3181

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Merged
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Jul 3, 2014
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[examples/api] autopep8 + use np.radians/np.degree where appropriate #3181

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705c4f9
run autopep8 in examples/api
twmr Jul 2, 2014
33b10ba
use np.radians/np.degrees in examples/api where appropriate
twmr Jul 2, 2014
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2 changes: 1 addition & 1 deletion examples/api/agg_oo.py
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Expand Up @@ -9,7 +9,7 @@
fig = Figure()
canvas = FigureCanvas(fig)
ax = fig.add_subplot(111)
ax.plot([1,2,3])
ax.plot([1, 2, 3])
ax.set_title('hi mom')
ax.grid(True)
ax.set_xlabel('time')
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19 changes: 11 additions & 8 deletions examples/api/barchart_demo.py
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Expand Up @@ -6,7 +6,7 @@

N = 5
menMeans = (20, 35, 30, 35, 27)
menStd = (2, 3, 4, 1, 2)
menStd = (2, 3, 4, 1, 2)

ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars
Expand All @@ -15,23 +15,26 @@
rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd)

womenMeans = (25, 32, 34, 20, 25)
womenStd = (3, 5, 2, 3, 3)
rects2 = ax.bar(ind+width, womenMeans, width, color='y', yerr=womenStd)
womenStd = (3, 5, 2, 3, 3)
rects2 = ax.bar(ind + width, womenMeans, width, color='y', yerr=womenStd)

# add some text for labels, title and axes ticks
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind+width)
ax.set_xticklabels( ('G1', 'G2', 'G3', 'G4', 'G5') )
ax.set_xticks(ind + width)
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))

ax.legend((rects1[0], rects2[0]), ('Men', 'Women'))

ax.legend( (rects1[0], rects2[0]), ('Men', 'Women') )

def autolabel(rects):
# attach some text labels
for rect in rects:
height = rect.get_height()
ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height),
ha='center', va='bottom')
ax.text(
rect.get_x() + rect.get_width() /
2., 1.05 * height, '%d' % int(height),
ha='center', va='bottom')

autolabel(rects1)
autolabel(rects2)
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2 changes: 1 addition & 1 deletion examples/api/bbox_intersect.py
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Expand Up @@ -14,6 +14,6 @@
color = 'r'
else:
color = 'b'
plt.plot(vertices[:,0], vertices[:,1], color=color)
plt.plot(vertices[:, 0], vertices[:, 1], color=color)

plt.show()
33 changes: 16 additions & 17 deletions examples/api/collections_demo.py
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Expand Up @@ -27,10 +27,10 @@

# Make some spirals
r = np.array(range(nverts))
theta = np.array(range(nverts)) * (2*np.pi)/(nverts-1)
theta = np.array(range(nverts)) * (2 * np.pi) / (nverts - 1)
xx = r * np.sin(theta)
yy = r * np.cos(theta)
spiral = list(zip(xx,yy))
spiral = list(zip(xx, yy))

# Make some offsets
rs = np.random.RandomState([12345678])
Expand All @@ -39,15 +39,16 @@
xyo = list(zip(xo, yo))

# Make a list of colors cycling through the rgbcmyk series.
colors = [colorConverter.to_rgba(c) for c in ('r','g','b','c','y','m','k')]
colors = [colorConverter.to_rgba(c)
for c in ('r', 'g', 'b', 'c', 'y', 'm', 'k')]

fig, axes = plt.subplots(2,2)
((ax1, ax2), (ax3, ax4)) = axes # unpack the axes
fig, axes = plt.subplots(2, 2)
((ax1, ax2), (ax3, ax4)) = axes # unpack the axes


col = collections.LineCollection([spiral], offsets=xyo,
transOffset=ax1.transData)
trans = fig.dpi_scale_trans + transforms.Affine2D().scale(1.0/72.0)
transOffset=ax1.transData)
trans = fig.dpi_scale_trans + transforms.Affine2D().scale(1.0 / 72.0)
col.set_transform(trans) # the points to pixels transform
# Note: the first argument to the collection initializer
# must be a list of sequences of x,y tuples; we have only
Expand All @@ -71,8 +72,8 @@

# The same data as above, but fill the curves.
col = collections.PolyCollection([spiral], offsets=xyo,
transOffset=ax2.transData)
trans = transforms.Affine2D().scale(fig.dpi/72.0)
transOffset=ax2.transData)
trans = transforms.Affine2D().scale(fig.dpi / 72.0)
col.set_transform(trans) # the points to pixels transform
ax2.add_collection(col, autolim=True)
col.set_color(colors)
Expand All @@ -84,9 +85,9 @@
# 7-sided regular polygons

col = collections.RegularPolyCollection(7,
sizes = np.fabs(xx)*10.0, offsets=xyo,
sizes=np.fabs(xx) * 10.0, offsets=xyo,
transOffset=ax3.transData)
trans = transforms.Affine2D().scale(fig.dpi/72.0)
trans = transforms.Affine2D().scale(fig.dpi / 72.0)
col.set_transform(trans) # the points to pixels transform
ax3.add_collection(col, autolim=True)
col.set_color(colors)
Expand All @@ -102,13 +103,13 @@
ncurves = 20
offs = (0.1, 0.0)

yy = np.linspace(0, 2*np.pi, nverts)
yy = np.linspace(0, 2 * np.pi, nverts)
ym = np.amax(yy)
xx = (0.2 + (ym-yy)/ym)**2 * np.cos(yy-0.4) * 0.5
xx = (0.2 + (ym - yy) / ym) ** 2 * np.cos(yy - 0.4) * 0.5
segs = []
for i in range(ncurves):
xxx = xx + 0.02*rs.randn(nverts)
curve = list(zip(xxx, yy*100))
xxx = xx + 0.02 * rs.randn(nverts)
curve = list(zip(xxx, yy * 100))
segs.append(curve)

col = collections.LineCollection(segs, offsets=offs)
Expand All @@ -123,5 +124,3 @@


plt.show()


44 changes: 22 additions & 22 deletions examples/api/colorbar_only.py
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Expand Up @@ -6,7 +6,7 @@
import matplotlib as mpl

# Make a figure and axes with dimensions as desired.
fig = pyplot.figure(figsize=(8,3))
fig = pyplot.figure(figsize=(8, 3))
ax1 = fig.add_axes([0.05, 0.80, 0.9, 0.15])
ax2 = fig.add_axes([0.05, 0.475, 0.9, 0.15])
ax3 = fig.add_axes([0.05, 0.15, 0.9, 0.15])
Expand All @@ -22,8 +22,8 @@
# following gives a basic continuous colorbar with ticks
# and labels.
cb1 = mpl.colorbar.ColorbarBase(ax1, cmap=cmap,
norm=norm,
orientation='horizontal')
norm=norm,
orientation='horizontal')
cb1.set_label('Some Units')

# The second example illustrates the use of a ListedColormap, a
Expand All @@ -39,36 +39,36 @@
bounds = [1, 2, 4, 7, 8]
norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
cb2 = mpl.colorbar.ColorbarBase(ax2, cmap=cmap,
norm=norm,
# to use 'extend', you must
# specify two extra boundaries:
boundaries=[0]+bounds+[13],
extend='both',
ticks=bounds, # optional
spacing='proportional',
orientation='horizontal')
norm=norm,
# to use 'extend', you must
# specify two extra boundaries:
boundaries=[0] + bounds + [13],
extend='both',
ticks=bounds, # optional
spacing='proportional',
orientation='horizontal')
cb2.set_label('Discrete intervals, some other units')

# The third example illustrates the use of custom length colorbar
# extensions, used on a colorbar with discrete intervals.
cmap = mpl.colors.ListedColormap([[0., .4, 1.], [0., .8, 1.],
[1., .8, 0.], [1., .4, 0.]])
[1., .8, 0.], [1., .4, 0.]])
cmap.set_over((1., 0., 0.))
cmap.set_under((0., 0., 1.))

bounds = [-1., -.5, 0., .5, 1.]
norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
cb3 = mpl.colorbar.ColorbarBase(ax3, cmap=cmap,
norm=norm,
boundaries=[-10]+bounds+[10],
extend='both',
# Make the length of each extension
# the same as the length of the
# interior colors:
extendfrac='auto',
ticks=bounds,
spacing='uniform',
orientation='horizontal')
norm=norm,
boundaries=[-10] + bounds + [10],
extend='both',
# Make the length of each extension
# the same as the length of the
# interior colors:
extendfrac='auto',
ticks=bounds,
spacing='uniform',
orientation='horizontal')
cb3.set_label('Custom extension lengths, some other units')

pyplot.show()
8 changes: 4 additions & 4 deletions examples/api/compound_path.py
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Expand Up @@ -12,11 +12,11 @@
vertices = []
codes = []

codes = [Path.MOVETO] + [Path.LINETO]*3 + [Path.CLOSEPOLY]
vertices = [(1,1), (1,2), (2, 2), (2, 1), (0,0)]
codes = [Path.MOVETO] + [Path.LINETO] * 3 + [Path.CLOSEPOLY]
vertices = [(1, 1), (1, 2), (2, 2), (2, 1), (0, 0)]

codes += [Path.MOVETO] + [Path.LINETO]*2 + [Path.CLOSEPOLY]
vertices += [(4,4), (5,5), (5, 4), (0,0)]
codes += [Path.MOVETO] + [Path.LINETO] * 2 + [Path.CLOSEPOLY]
vertices += [(4, 4), (5, 5), (5, 4), (0, 0)]

vertices = np.array(vertices, float)
path = Path(vertices, codes)
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