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DOC: switch to O-O interface in basic examples #7066

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Merged
tacaswell merged 4 commits into from
Sep 22, 2016
Merged

DOC: switch to O-O interface in basic examples #7066

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a9fec83
DOC: switch to O-O interface in line/bar/marker examples
phobson Sep 8, 2016
3cad4dc
DOC: add legend to dashed lines example
phobson Sep 8, 2016
9e7f838
DOC: restore yticklabels and invert y-axis on barh
phobson Sep 9, 2016
6060e5c
DOC: EOF newline in barh example
phobson Sep 9, 2016
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12 changes: 8 additions & 4 deletions examples/lines_bars_and_markers/barh_demo.py
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Expand Up @@ -6,16 +6,20 @@


plt.rcdefaults()
fig, ax = plt.subplots()

# Example data
people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
y_pos = np.arange(len(people))
performance = 3 + 10 * np.random.rand(len(people))
error = np.random.rand(len(people))

plt.barh(y_pos, performance, xerr=error, align='center')
plt.yticks(y_pos, people)
plt.xlabel('Performance')
plt.title('How fast do you want to go today?')
ax.barh(y_pos, performance, xerr=error, align='center',
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@tacaswell tacaswell Sep 9, 2016

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If we do not want to backport this to v2.x, this can use @story645 's categorical work. ax.barh(people, performance) should 'just work'

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@NelleV NelleV Sep 19, 2016

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I am in favor of merging now and backporting, and create another PR for the categorical bar plot.

color='green', ecolor='black')
ax.set_yticks(y_pos)
ax.set_yticklabels(people)
ax.invert_yaxis() # labels read top-to-bottom
ax.set_xlabel('Performance')
ax.set_title('How fast do you want to go today?')

plt.show()
6 changes: 4 additions & 2 deletions examples/lines_bars_and_markers/fill_demo.py
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Expand Up @@ -7,6 +7,8 @@
x = np.linspace(0, 1, 500)
y = np.sin(4 * np.pi * x) * np.exp(-5 * x)

plt.fill(x, y)
plt.grid(True)
fig, ax = plt.subplots()

ax.fill(x, y, zorder=10)
ax.grid(True, zorder=5)
plt.show()
4 changes: 3 additions & 1 deletion examples/lines_bars_and_markers/fill_demo_features.py
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Expand Up @@ -13,5 +13,7 @@
x = np.linspace(0, 2 * np.pi, 500)
y1 = np.sin(x)
y2 = np.sin(3 * x)
plt.fill(x, y1, 'b', x, y2, 'r', alpha=0.3)

fig, ax = plt.subplots()
ax.fill(x, y1, 'b', x, y2, 'r', alpha=0.3)
plt.show()
12 changes: 9 additions & 3 deletions examples/lines_bars_and_markers/line_demo_dash_control.py
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Expand Up @@ -9,9 +9,15 @@


x = np.linspace(0, 10, 500)
line, = plt.plot(x, np.sin(x), '--', linewidth=2)

dashes = [10, 5, 100, 5] # 10 points on, 5 off, 100 on, 5 off
line.set_dashes(dashes)

fig, ax = plt.subplots()
line1, = ax.plot(x, np.sin(x), '--', linewidth=2,
label='Dashes set retroactively')
line1.set_dashes(dashes)

line2, = ax.plot(x, -1 * np.sin(x), dashes=[30, 5, 10, 5],
label='Dashes set proactively')

ax.legend(loc='lower right')
plt.show()
2 changes: 1 addition & 1 deletion examples/lines_bars_and_markers/line_styles_reference.py
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Expand Up @@ -21,7 +21,7 @@ def nice_repr(text):


# Plot all line styles.
f, ax = plt.subplots()
fig, ax = plt.subplots()

linestyles = ['-', '--', '-.', ':']
for y, linestyle in enumerate(linestyles):
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9 changes: 5 additions & 4 deletions examples/lines_bars_and_markers/scatter_with_legend.py
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Expand Up @@ -10,14 +10,15 @@
from numpy.random import rand


fig, ax = plt.subplots()
for color in ['red', 'green', 'blue']:
n = 750
x, y = rand(2, n)
scale = 200.0 * rand(n)
plt.scatter(x, y, c=color, s=scale, label=color,
alpha=0.3, edgecolors='none')
ax.scatter(x, y, c=color, s=scale, label=color,
alpha=0.3, edgecolors='none')

plt.legend()
plt.grid(True)
ax.legend()
ax.grid(True)

plt.show()
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