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Commit8cfc8f0

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Minor fixes to text intro explainer
1 parentdcce480 commit8cfc8f0

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‎galleries/users_explain/text/text_intro.py‎

Lines changed: 38 additions & 41 deletions
Original file line numberDiff line numberDiff line change
@@ -8,8 +8,6 @@
88
Text in Matplotlib
99
==================
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11-
Introduction to plotting and working with text in Matplotlib.
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Matplotlib has extensive text support, including support for
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mathematical expressions, truetype support for raster and
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vector outputs, newline separated text with arbitrary
@@ -124,8 +122,8 @@
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fig,ax=plt.subplots(figsize=(5,3))
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fig.subplots_adjust(bottom=0.15,left=0.2)
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ax.plot(x1,y1)
127-
ax.set_xlabel('Time[s]')
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ax.set_ylabel('Damped oscillation[V]')
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ax.set_xlabel('Time(s)')
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ax.set_ylabel('Damped oscillation(V)')
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plt.show()
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@@ -137,26 +135,26 @@
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fig,ax=plt.subplots(figsize=(5,3))
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fig.subplots_adjust(bottom=0.15,left=0.2)
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ax.plot(x1,y1*10000)
140-
ax.set_xlabel('Time[s]')
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ax.set_ylabel('Damped oscillation[V]')
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ax.set_xlabel('Time(s)')
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ax.set_ylabel('Damped oscillation(V)')
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plt.show()
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# %%
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# If you want to move the labels, you can specify the *labelpad* keyword
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# argument, where the value is points (1/72", the same unit used to specify
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#fontsizes).
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#font sizes).
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fig,ax=plt.subplots(figsize=(5,3))
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fig.subplots_adjust(bottom=0.15,left=0.2)
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ax.plot(x1,y1*10000)
153-
ax.set_xlabel('Time[s]')
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ax.set_ylabel('Damped oscillation[V]',labelpad=18)
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ax.set_xlabel('Time(s)')
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ax.set_ylabel('Damped oscillation(V)',labelpad=18)
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plt.show()
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# %%
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#Or, the labels accept all the `.Text` keyword arguments, including
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#Alternatively, the labels accept all the `.Text` keyword arguments, including
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# *position*, via which we can manually specify the label positions. Here we
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# put the xlabel to the far left of the axis. Note, that the y-coordinate of
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# this position has no effect - to adjust the y-position we need to use the
@@ -165,15 +163,15 @@
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fig,ax=plt.subplots(figsize=(5,3))
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fig.subplots_adjust(bottom=0.15,left=0.2)
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ax.plot(x1,y1)
168-
ax.set_xlabel('Time[s]',position=(0.,1e6),horizontalalignment='left')
169-
ax.set_ylabel('Damped oscillation[V]')
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ax.set_xlabel('Time(s)',position=(0.,1e6),horizontalalignment='left')
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ax.set_ylabel('Damped oscillation(V)')
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plt.show()
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# %%
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# All the labelling in this tutorial can be changed by manipulating the
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# `matplotlib.font_manager.FontProperties` method, or by named keyword
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# arguments to `~matplotlib.axes.Axes.set_xlabel`
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# arguments to `~matplotlib.axes.Axes.set_xlabel`.
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frommatplotlib.font_managerimportFontProperties
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@@ -182,8 +180,8 @@
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fig,ax=plt.subplots(figsize=(5,3))
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fig.subplots_adjust(bottom=0.15,left=0.2)
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ax.plot(x1,y1)
185-
ax.set_xlabel('Time[s]',fontsize='large',fontweight='bold')
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ax.set_ylabel('Damped oscillation[V]',fontproperties=font)
183+
ax.set_xlabel('Time(s)',fontsize='large',fontweight='bold')
184+
ax.set_ylabel('Damped oscillation(V)',fontproperties=font)
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plt.show()
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@@ -194,8 +192,8 @@
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fig,ax=plt.subplots(figsize=(5,3))
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fig.subplots_adjust(bottom=0.2,left=0.2)
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ax.plot(x1,np.cumsum(y1**2))
197-
ax.set_xlabel('Time[s]\n This was a long experiment')
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ax.set_ylabel(r'$\int\ Y^2\ dt\ \[V^2 s]$')
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ax.set_xlabel('Time(s)\n This was a long experiment')
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ax.set_ylabel(r'$\int\ Y^2\ dt\ \(V^2 s)$')
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plt.show()
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@@ -204,14 +202,14 @@
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# ======
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#
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# Subplot titles are set in much the same way as labels, but there is
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# the*loc* keywordarguments that can change the position and justification
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#fromthe default valueof ``loc=center``.
205+
# the``loc`` keywordargument that can change the position and justification
206+
#(the default valueis ``loc='center'``).
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fig,axs=plt.subplots(3,1,figsize=(5,6),tight_layout=True)
211209
locs= ['center','left','right']
212210
forax,locinzip(axs,locs):
213211
ax.plot(x1,y1)
214-
ax.set_title('Title with loc at '+loc,loc=loc)
212+
ax.set_title('Title with loc at '+loc,loc=loc)
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plt.show()
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# %%
@@ -237,7 +235,7 @@
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# Terminology
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# ^^^^^^^^^^^
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#
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# *Axes* havean `matplotlib.axis.Axis` object for the ``ax.xaxis`` and
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# *Axes* havea `matplotlib.axis.Axis` object for the ``ax.xaxis`` and
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# ``ax.yaxis`` that contain the information about how the labels in the axis
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# are laid out.
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#
@@ -255,9 +253,9 @@
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#
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# It is often convenient to simply define the
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# tick values, and sometimes the tick labels, overriding the default
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# locators and formatters. This is discouraged because it breaks interactive
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# navigation of the plot.It also can reset the axis limits: note that
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# the second plot has the ticks we asked for, including ones that are
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# locators and formatters.However, this is discouraged because it breaks
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#interactivenavigation of the plot. It also can reset the axis limits: note
258+
#thatthe second plot has the ticks we asked for, including ones that are
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# well outside the automatic view limits.
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fig,axs=plt.subplots(2,1,figsize=(5,3),tight_layout=True)
@@ -283,7 +281,7 @@
283281
plt.show()
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# %%
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# TickLocators andFormatters
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# Ticklocators andformatters
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# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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#
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# Instead of making a list of all the ticklabels, we could have
@@ -317,14 +315,14 @@
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# %%
319317
# The default formatter is the `matplotlib.ticker.MaxNLocator` called as
320-
# ``ticker.MaxNLocator(self, nbins='auto', steps=[1, 2, 2.5, 5, 10])``
321-
# The*steps* keyword contains a list of multiples that can be used for
322-
# tick values. i.e. in this case, 2, 4, 6 would be acceptable ticks,
318+
# ``ticker.MaxNLocator(self, nbins='auto', steps=[1, 2, 2.5, 5, 10])``.
319+
# The``steps`` argument contains a list of multiples that can be used for
320+
# tick values.In this case, 2, 4, 6 would be acceptable ticks,
323321
# as would 20, 40, 60 or 0.2, 0.4, 0.6. However, 3, 6, 9 would not be
324322
# acceptable because 3 doesn't appear in the list of steps.
325323
#
326-
# ``nbins=auto`` uses an algorithm to determine how many ticks will
327-
# be acceptable based onhow longthe axisis. The fontsize of the
324+
#Setting``nbins=auto`` uses an algorithm to determine how many ticks will
325+
# be acceptable based on the axislength. The fontsize of the
328326
# ticklabel is taken into account, but the length of the tick string
329327
# is not (because it's not yet known.) In the bottom row, the
330328
# ticklabels are quite large, so we set ``nbins=4`` to make the
@@ -382,11 +380,11 @@ def formatoddticks(x, pos):
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# Matplotlib can accept `datetime.datetime` and `numpy.datetime64`
383381
# objects as plotting arguments. Dates and times require special
384382
# formatting, which can often benefit from manual intervention. In
385-
# order to help, dates have specialLocators andFormatters,
383+
# order to help, dates have speciallocators andformatters,
386384
# defined in the `matplotlib.dates` module.
387385
#
388-
#Asimple exampleis as follows.Note how we have to rotate the
389-
# tick labels so that they don'tover-run each other.
386+
#The followingsimple exampleillustrates this concept.Note how we
387+
#rotate thetick labels so that they don'toverlap.
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391389
importdatetime
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@@ -399,11 +397,10 @@ def formatoddticks(x, pos):
399397
plt.show()
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# %%
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# We can pass a format to `matplotlib.dates.DateFormatter`. Also note that the
403-
# 29th and the next month are very close together. We can fix this by using
404-
# the `.dates.DayLocator` class, which allows us to specify a list of days of
405-
# the month to use. Similar formatters are listed in the `matplotlib.dates`
406-
# module.
400+
# We can pass a format to `matplotlib.dates.DateFormatter`. If two tick labels
401+
# are very close together, we can use the `.dates.DayLocator` class, which
402+
# allows us to specify a list of days of the month to use. Similar formatters
403+
# are listed in the `matplotlib.dates` module.
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importmatplotlib.datesasmdates
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@@ -418,9 +415,9 @@ def formatoddticks(x, pos):
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plt.show()
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# %%
421-
# Legends andAnnotations
418+
# Legends andannotations
422419
# =======================
423420
#
424-
# -Legends::ref:`legend_guide`
425-
# -Annotations::ref:`annotations`
421+
# - :ref:`legend_guide`
422+
# - :ref:`annotations`
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#

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