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[DOC] Tick locators & formatters examples by rougier · Pull Request #7084 · matplotlib/matplotlib · GitHub

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[DOC] Tick locators & formatters examples #7084

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Merged
tacaswell merged 18 commits into from
Sep 22, 2016
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[DOC] Tick locators & formatters examples #7084

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32196ed
Add tick locator example
rougier Sep 10, 2016
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Flakify
rougier Sep 10, 2016
e7ff52f
Added docstring description
rougier Sep 10, 2016
bb7a4d9
Added tick formatters example
rougier Sep 10, 2016
015ed45
Changed the MaxN locator example to show the difference with Auto loc…
rougier Sep 11, 2016
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Added index locator example
rougier Sep 14, 2016
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Typo
rougier Sep 14, 2016
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Small change in the multiple locator
rougier Sep 14, 2016
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Add arguments to text
rougier Sep 14, 2016
c827e5a
Changed index locator range
rougier Sep 14, 2016
6014664
Added function arguments to text describing the formatter
rougier Sep 14, 2016
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Added function arguments to text describing the formatter
rougier Sep 14, 2016
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Flakify
rougier Sep 14, 2016
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Cosmetic changes
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rougier Sep 15, 2016
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Removed unused function
rougier Sep 17, 2016
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90 changes: 90 additions & 0 deletions examples/ticks_and_spines/tick-formatters.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,90 @@
"""
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)

QuLogic Sep 10, 2016

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

This is a bit confusing, not being the default, but maybe it should be?

rougier Sep 10, 2016

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

I'm not sure I understand what you mean

QuLogic Sep 11, 2016

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

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.

rougier Sep 11, 2016

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

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 ?

NelleV Sep 11, 2016

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

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.

QuLogic Sep 15, 2016 •
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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

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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"""
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()
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