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Move some pylab examples to other folders
PEP8 moved examples Move subplots and scatter examples PEP8 scatter examples Small example fixes Remove old barchart demos Add new barchart demo back
1 parent 8ae0dbf commit d70af4c

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-50
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‎examples/pylab_examples/animation_demo.py renamed to ‎examples/animation/animation_demo.py

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‎examples/pylab_examples/color_by_yvalue.py renamed to ‎examples/color/color_by_yvalue.py

Lines changed: 6 additions & 5 deletions
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@@ -1,15 +1,15 @@
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"""
2-
===============
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Color By Yvalue
4-
===============
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================
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Color By y-value
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================
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Use masked arrays to plot a line with different colors by y-value.
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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t = np.arange(0.0, 2.0, 0.01)
12-
s = np.sin(2*np.pi*t)
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s = np.sin(2 * np.pi * t)
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upper = 0.77
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lower = -0.77
@@ -19,5 +19,6 @@
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slower = np.ma.masked_where(s > lower, s)
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smiddle = np.ma.masked_where(np.logical_or(s < lower, s > upper), s)
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22-
plt.plot(t, smiddle, t, slower, t, supper)
22+
fig, ax = plt.subplots()
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ax.plot(t, smiddle, t, slower, t, supper)
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plt.show()

‎examples/pylab_examples/color_demo.py renamed to ‎examples/color/color_demo.py

Lines changed: 8 additions & 7 deletions
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@@ -22,12 +22,13 @@
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import matplotlib.pyplot as plt
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import numpy as np
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25-
plt.subplot(111, facecolor='darkslategray')
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#subplot(111, facecolor='#ababab')
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t = np.arange(0.0, 2.0, 0.01)
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s = np.sin(2*np.pi*t)
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plt.plot(t, s, 'C1')
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plt.xlabel('time (s)', color='C1')
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plt.ylabel('voltage (mV)', color='0.5') # grayscale color
32-
plt.title('About as silly as it gets, folks', color='#afeeee')
26+
s = np.sin(2 * np.pi * t)
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fig, ax = plt.subplots(facecolor='darkslategray')
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ax.plot(t, s, 'C1')
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ax.set_xlabel('time (s)', color='C1')
31+
ax.set_ylabel('voltage (mV)', color='0.5') # grayscale color
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ax.set_title('About as silly as it gets, folks', color='#afeeee')
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plt.show()

‎examples/pylab_examples/colours_sgskip.py renamed to ‎examples/color/colors_sgskip.py

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‎examples/pylab_examples/contour_corner_mask.py renamed to ‎examples/images_contours_and_fields/contour_corner_mask.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -11,7 +11,7 @@
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# Data to plot.
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x, y = np.meshgrid(np.arange(7), np.arange(10))
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z = np.sin(0.5*x)*np.cos(0.52*y)
14+
z = np.sin(0.5 * x) * np.cos(0.52 * y)
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# Mask various z values.
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mask = np.zeros_like(z, dtype=np.bool)
@@ -24,7 +24,7 @@
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corner_masks = [False, True]
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for i, corner_mask in enumerate(corner_masks):
27-
plt.subplot(1, 2, i+1)
27+
plt.subplot(1, 2, i + 1)
2828
cs = plt.contourf(x, y, z, corner_mask=corner_mask)
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plt.contour(cs, colors='k')
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plt.title('corner_mask = {0}'.format(corner_mask))

‎examples/pylab_examples/broken_barh.py renamed to ‎examples/lines_bars_and_markers/broken_barh.py

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‎examples/pylab_examples/scatter_custom_symbol.py renamed to ‎examples/lines_bars_and_markers/scatter_custom_symbol.py

Lines changed: 5 additions & 6 deletions
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@@ -5,16 +5,15 @@
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"""
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import matplotlib.pyplot as plt
8-
from numpy import arange, pi, cos, sin
9-
from numpy.random import rand
8+
import numpy as np
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# unit area ellipse
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rx, ry = 3., 1.
13-
area = rx * ry * pi
14-
theta = arange(0, 2*pi + 0.01, 0.1)
15-
verts = list(zip(rx/area*cos(theta), ry/area*sin(theta)))
12+
area = rx * ry * np.pi
13+
theta = np.arange(0, 2 * np.pi + 0.01, 0.1)
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verts = list(zip(rx / area * np.cos(theta), ry / area * np.sin(theta)))
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17-
x, y, s, c = rand(4, 30)
16+
x, y, s, c = np.random.rand(4, 30)
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s *= 10**2.
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fig, ax = plt.subplots()

‎examples/pylab_examples/scatter_demo2.py renamed to ‎examples/lines_bars_and_markers/scatter_demo2.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -16,7 +16,7 @@
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price_data = np.load(datafile)['price_data'].view(np.recarray)
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price_data = price_data[-250:] # get the most recent 250 trading days
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19-
delta1 = np.diff(price_data.adj_close)/price_data.adj_close[:-1]
19+
delta1 = np.diff(price_data.adj_close) / price_data.adj_close[:-1]
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# Marker size in units of points^2
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volume = (15 * price_data.volume[:-2] / price_data.volume[0])**2

‎examples/pylab_examples/scatter_hist.py renamed to ‎examples/lines_bars_and_markers/scatter_hist.py

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‎examples/pylab_examples/scatter_masked.py renamed to ‎examples/lines_bars_and_markers/scatter_masked.py

Lines changed: 6 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -13,17 +13,17 @@
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N = 100
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r0 = 0.6
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x = 0.9*np.random.rand(N)
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y = 0.9*np.random.rand(N)
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area = np.pi*(10 * np.random.rand(N))**2 # 0 to 10 point radii
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x = 0.9 * np.random.rand(N)
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y = 0.9 * np.random.rand(N)
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area = np.pi * (10 * np.random.rand(N))**2 # 0 to 10 point radii
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c = np.sqrt(area)
20-
r = np.sqrt(x*x + y*y)
20+
r = np.sqrt(x * x + y * y)
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area1 = np.ma.masked_where(r < r0, area)
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area2 = np.ma.masked_where(r >= r0, area)
2323
plt.scatter(x, y, s=area1, marker='^', c=c)
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plt.scatter(x, y, s=area2, marker='o', c=c)
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# Show the boundary between the regions:
26-
theta = np.arange(0, np.pi/2, 0.01)
27-
plt.plot(r0*np.cos(theta), r0*np.sin(theta))
26+
theta = np.arange(0, np.pi / 2, 0.01)
27+
plt.plot(r0 * np.cos(theta), r0 * np.sin(theta))
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2929
plt.show()

‎examples/pylab_examples/scatter_profile.py renamed to ‎examples/lines_bars_and_markers/scatter_profile.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -29,8 +29,8 @@
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for N in (20, 100, 1000, 10000, 50000):
3131
tstart = time.time()
32-
x = 0.9*np.random.rand(N)
33-
y = 0.9*np.random.rand(N)
34-
s = 20*np.random.rand(N)
32+
x = 0.9 * np.random.rand(N)
33+
y = 0.9 * np.random.rand(N)
34+
s = 20 * np.random.rand(N)
3535
plt.scatter(x, y, s)
3636
print('%d symbols in %1.2f s' % (N, time.time() - tstart))

‎examples/pylab_examples/scatter_star_poly.py renamed to ‎examples/lines_bars_and_markers/scatter_star_poly.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -25,7 +25,7 @@
2525
plt.subplot(323)
2626
plt.scatter(x, y, s=80, c=z, marker=(verts, 0))
2727
# equivalent:
28-
#plt.scatter(x,y,s=80, c=z, marker=None, verts=verts)
28+
# plt.scatter(x, y, s=80, c=z, marker=None, verts=verts)
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plt.subplot(324)
3131
plt.scatter(x, y, s=80, c=z, marker=(5, 1))

‎examples/pylab_examples/scatter_symbol.py renamed to ‎examples/lines_bars_and_markers/scatter_symbol.py

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‎examples/pylab_examples/README

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This file was deleted.

‎examples/pylab_examples/barb_demo.py

Lines changed: 6 additions & 6 deletions
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@@ -10,7 +10,7 @@
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x = np.linspace(-5, 5, 5)
1212
X, Y = np.meshgrid(x, x)
13-
U, V = 12*X, 12*Y
13+
U, V = 12 * X, 12 * Y
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1515
data = [(-1.5, .5, -6, -6),
1616
(1, -1, -46, 46),
@@ -27,29 +27,29 @@
2727
ax.barbs(X, Y, U, V)
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# Arbitrary set of vectors, make them longer and change the pivot point
30-
#(point around which they're rotated) to be the middle
30+
# (point around which they're rotated) to be the middle
3131
ax = plt.subplot(2, 2, 2)
3232
ax.barbs(data['x'], data['y'], data['u'], data['v'], length=8, pivot='middle')
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3434
# Showing colormapping with uniform grid. Fill the circle for an empty barb,
3535
# don't round the values, and change some of the size parameters
3636
ax = plt.subplot(2, 2, 3)
37-
ax.barbs(X, Y, U, V, np.sqrt(U*U + V*V), fill_empty=True, rounding=False,
37+
ax.barbs(X, Y, U, V, np.sqrt(U * U + V * V), fill_empty=True, rounding=False,
3838
sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3))
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4040
# Change colors as well as the increments for parts of the barbs
4141
ax = plt.subplot(2, 2, 4)
4242
ax.barbs(data['x'], data['y'], data['u'], data['v'], flagcolor='r',
43-
barbcolor=['b', 'g'], barb_increments=dict(half=10, full=20, flag=100),
44-
flip_barb=True)
43+
barbcolor=['b', 'g'],
44+
barb_increments=dict(half=10, full=20, flag=100), flip_barb=True)
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4646
# Masked arrays are also supported
4747
masked_u = np.ma.masked_array(data['u'])
4848
masked_u[4] = 1000 # Bad value that should not be plotted when masked
4949
masked_u[4] = np.ma.masked
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5151
# Identical plot to panel 2 in the first figure, but with the point at
52-
#(0.5, 0.25) missing (masked)
52+
# (0.5, 0.25) missing (masked)
5353
fig2 = plt.figure()
5454
ax = fig2.add_subplot(1, 1, 1)
5555
ax.barbs(data['x'], data['y'], masked_u, data['v'], length=8, pivot='middle')

‎examples/pylab_examples/subplot_demo.py renamed to ‎examples/subplots_axes_and_figures/subplot_demo.py

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‎examples/pylab_examples/subplot_toolbar.py renamed to ‎examples/subplots_axes_and_figures/subplot_toolbar.py

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‎examples/pylab_examples/subplots_adjust.py renamed to ‎examples/subplots_axes_and_figures/subplots_adjust.py

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‎examples/pylab_examples/subplots_demo.py renamed to ‎examples/subplots_axes_and_figures/subplots_demo.py

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