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[DOC] Tick locators & formatters examples #7084

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Merged
merged 18 commits into from
Sep 22, 2016
Merged

[DOC] Tick locators & formatters examples #7084

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32196ed
Add tick locator example
rougier Sep 10, 2016
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Flakify
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Added docstring description
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Added tick formatters example
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Changed the MaxN locator example to show the difference with Auto loc…
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Added index locator example
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Typo
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Small change in the multiple locator
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Add arguments to text
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Changed index locator range
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Added function arguments to text describing the formatter
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Added function arguments to text describing the formatter
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Flakify
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Cosmetic changes
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Removed unused function
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90 changes: 90 additions & 0 deletions examples/ticks_and_spines/tick-formatters.py
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"""
Show the different tick formatters
"""

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker


# Setup a plot such that only the bottom spine is shown
def setup(ax):
ax.spines['right'].set_color('none')
ax.spines['left'].set_color('none')
ax.yaxis.set_major_locator(ticker.NullLocator())
ax.spines['top'].set_color('none')
ax.xaxis.set_ticks_position('bottom')
ax.tick_params(which='major', width=1.00, length=5)
ax.tick_params(which='minor', width=0.75, length=2.5, labelsize=10)
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This is a bit confusing, not being the default, but maybe it should be?

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I'm not sure I understand what you mean

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I mean it might be confusing for users to see the documentation use this look, with different tick lengths/fontsizes for major/minor, when it's not really how it would look by default.

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Ok, now I get your point. The idea was to emphasize the fact that you can control major / minor ticks / labels separately and the different font sizes really suggest this (at least to me).

Since this is a submission to the gallery, is it important to enforce the defaults ?

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The whole goal of this example is to show what you can do with axes and ticks. That means changing the default. I don't see how you could do something identical with the defaults. I also don't see how this could confuse the user: the example is well written and clear.

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@QuLogic QuLogic Sep 15, 2016 •
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Sorry, was confusing this with the other PR and where it was going.

Also, I thought it looked nice enough to be a default, but I think the time for changing that has passed.

ax.set_xlim(0, 5)
ax.set_ylim(0, 1)
ax.patch.set_alpha(0.0)


plt.figure(figsize=(8, 6))
n = 6

# Null formatter
ax = plt.subplot(n, 1, 1)
setup(ax)
ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))
ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))
ax.xaxis.set_major_formatter(ticker.NullFormatter())
ax.xaxis.set_minor_formatter(ticker.NullFormatter())
ax.text(0.0, 0.5, "NullFormatter()", fontsize=16, transform=ax.transAxes)

# Fixed formatter
ax = plt.subplot(n, 1, 2)
setup(ax)
ax.xaxis.set_major_locator(ticker.MultipleLocator(1.0))
ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))
majors = ["", "0", "1", "2", "3", "4", "5"]
ax.xaxis.set_major_formatter(ticker.FixedFormatter(majors))
minors = [""] + ["%.2f" % (x-int(x)) if (x-int(x))
else "" for x in np.arange(0, 5, 0.25)]
ax.xaxis.set_minor_formatter(ticker.FixedFormatter(minors))
ax.text(0.0, 0.5, "FixedFormatter(['', '0', '1', ...])",
fontsize=15, transform=ax.transAxes)


# Func formatter
def major_formatter(x, pos):
return "[%.2f]" % x


ax = plt.subplot(n, 1, 3)
setup(ax)
ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))
ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))
ax.xaxis.set_major_formatter(ticker.FuncFormatter(major_formatter))
ax.text(0.0, 0.5, 'FuncFormatter(lambda x, pos: "[%.2f]" % x)',
fontsize=15, transform=ax.transAxes)


# FormatStr formatter
ax = plt.subplot(n, 1, 4)
setup(ax)
ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))
ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))
ax.xaxis.set_major_formatter(ticker.FormatStrFormatter(">%d<"))
ax.text(0.0, 0.5, "FormatStrFormatter('>%d<')",
fontsize=15, transform=ax.transAxes)

# Scalar formatter
ax = plt.subplot(n, 1, 5)
setup(ax)
ax.xaxis.set_major_locator(ticker.AutoLocator())
ax.xaxis.set_minor_locator(ticker.AutoMinorLocator())
ax.xaxis.set_major_formatter(ticker.ScalarFormatter(useMathText=True))
ax.text(0.0, 0.5, "ScalarFormatter()", fontsize=15, transform=ax.transAxes)

# StrMethod formatter
ax = plt.subplot(n, 1, 6)
setup(ax)
ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))
ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))
ax.xaxis.set_major_formatter(ticker.StrMethodFormatter("{x}"))
ax.text(0.0, 0.5, "StrMethodFormatter('{x}')",
fontsize=15, transform=ax.transAxes)

plt.show()
93 changes: 93 additions & 0 deletions examples/ticks_and_spines/tick-locators.py
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Original file line number Diff line number Diff line change
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"""
Show the different tick locators
"""

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker


# Setup a plot such that only the bottom spine is shown
def setup(ax):
ax.spines['right'].set_color('none')
ax.spines['left'].set_color('none')
ax.yaxis.set_major_locator(ticker.NullLocator())
ax.spines['top'].set_color('none')
ax.xaxis.set_ticks_position('bottom')
ax.tick_params(which='major', width=1.00)
ax.tick_params(which='major', length=5)
ax.tick_params(which='minor', width=0.75)
ax.tick_params(which='minor', length=2.5)
ax.set_xlim(0, 5)
ax.set_ylim(0, 1)
ax.patch.set_alpha(0.0)


plt.figure(figsize=(8, 8))
n = 8

# Null Locator
ax = plt.subplot(n, 1, 1)
setup(ax)
ax.xaxis.set_major_locator(ticker.NullLocator())
ax.xaxis.set_minor_locator(ticker.NullLocator())
ax.text(0.0, 0.5, "NullLocator()", fontsize=14, transform=ax.transAxes)

# Multiple Locator
ax = plt.subplot(n, 1, 2)
setup(ax)
ax.xaxis.set_major_locator(ticker.MultipleLocator(0.5))
ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.1))
ax.text(0.0, 0.5, "MultipleLocator(0.5)", fontsize=14,
transform=ax.transAxes)

# Fixed Locator
ax = plt.subplot(n, 1, 3)
setup(ax)
majors = [0, 1, 5]
ax.xaxis.set_major_locator(ticker.FixedLocator(majors))
minors = np.linspace(0, 1, 11)[1:-1]
ax.xaxis.set_minor_locator(ticker.FixedLocator(minors))
ax.text(0.0, 0.5, "FixedLocator([0, 1, 5])", fontsize=14,
transform=ax.transAxes)

# Linear Locator
ax = plt.subplot(n, 1, 4)
setup(ax)
ax.xaxis.set_major_locator(ticker.LinearLocator(3))
ax.xaxis.set_minor_locator(ticker.LinearLocator(31))
ax.text(0.0, 0.5, "LinearLocator(numticks=3)",
fontsize=14, transform=ax.transAxes)

# Index Locator
ax = plt.subplot(n, 1, 5)
setup(ax)
ax.plot(range(0, 5), [0]*5, color='White')
ax.xaxis.set_major_locator(ticker.IndexLocator(base=.5, offset=.25))
ax.text(0.0, 0.5, "IndexLocator(base=0.5, offset=0.25)",
fontsize=14, transform=ax.transAxes)

# Auto Locator
ax = plt.subplot(n, 1, 6)
setup(ax)
ax.xaxis.set_major_locator(ticker.AutoLocator())
ax.xaxis.set_minor_locator(ticker.AutoMinorLocator())
ax.text(0.0, 0.5, "AutoLocator()", fontsize=14, transform=ax.transAxes)

# MaxN Locator
ax = plt.subplot(n, 1, 7)
setup(ax)
ax.xaxis.set_major_locator(ticker.MaxNLocator(4))
ax.xaxis.set_minor_locator(ticker.MaxNLocator(40))
ax.text(0.0, 0.5, "MaxNLocator(n=4)", fontsize=14, transform=ax.transAxes)

# Log Locator
ax = plt.subplot(n, 1, 8)
setup(ax)
ax.set_xlim(10**3, 10**10)
ax.set_xscale('log')
ax.xaxis.set_major_locator(ticker.LogLocator(base=10.0, numticks=15))
ax.text(0.0, 0.5, "LogLocator(base=10, numticks=15)",
fontsize=15, transform=ax.transAxes)

plt.show()