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Commitc73cbf7

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Merge pull request#24007 from meeseeksmachine/auto-backport-of-pr-24004-on-v3.6.x
Backport PR#24004 on branch v3.6.x (Increase consistency in tutorials and examples)
2 parents8f39714 +f5e6927 commitc73cbf7

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11 files changed

+34
-32
lines changed

11 files changed

+34
-32
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‎examples/color/color_demo.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -48,9 +48,9 @@
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# 3) gray level string:
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ax.set_title('Voltage vs. time chart',color='0.7')
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# 4) single letter color string
51-
ax.set_xlabel('time (s)',color='c')
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ax.set_xlabel('Time [s]',color='c')
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# 5) a named color:
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ax.set_ylabel('voltage (mV)',color='peachpuff')
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ax.set_ylabel('Voltage [mV]',color='peachpuff')
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# 6) a named xkcd color:
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ax.plot(t,s,'xkcd:crimson')
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# 7) Cn notation:

‎examples/color/custom_cmap.py

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@@ -42,7 +42,7 @@
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If, as in this example, there are no discontinuities in the r, g, and b
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components, then it is quite simple: the second and third element of
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each tuple, above, is the same--call it "``y``". The first element ("``x``")
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each tuple, above, is the same --call it "``y``". The first element ("``x``")
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defines interpolation intervals over the full range of 0 to 1, and it
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must span that whole range. In other words, the values of ``x`` divide the
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0-to-1 range into a set of segments, and ``y`` gives the end-point color

‎examples/lines_bars_and_markers/cohere.py

Lines changed: 3 additions & 3 deletions
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@@ -16,19 +16,19 @@
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nse1=np.random.randn(len(t))# white noise 1
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nse2=np.random.randn(len(t))# white noise 2
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19-
# Two signals with a coherent part at10Hz and a random part
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# Two signals with a coherent part at10 Hz and a random part
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s1=np.sin(2*np.pi*10*t)+nse1
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s2=np.sin(2*np.pi*10*t)+nse2
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2323
fig,axs=plt.subplots(2,1)
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axs[0].plot(t,s1,t,s2)
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axs[0].set_xlim(0,2)
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axs[0].set_xlabel('time')
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axs[0].set_xlabel('Time')
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axs[0].set_ylabel('s1 and s2')
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axs[0].grid(True)
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cxy,f=axs[1].cohere(s1,s2,256,1./dt)
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axs[1].set_ylabel('coherence')
31+
axs[1].set_ylabel('Coherence')
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fig.tight_layout()
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plt.show()

‎examples/lines_bars_and_markers/csd_demo.py

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@@ -33,7 +33,7 @@
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ax1.plot(t,s1,t,s2)
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ax1.set_xlim(0,5)
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ax1.set_xlabel('time')
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ax1.set_xlabel('Time')
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ax1.set_ylabel('s1 and s2')
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ax1.grid(True)
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‎examples/pyplots/fig_axes_labels_simple.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -11,8 +11,8 @@
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fig=plt.figure()
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fig.subplots_adjust(top=0.8)
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ax1=fig.add_subplot(211)
14-
ax1.set_ylabel('volts')
15-
ax1.set_title('a sine wave')
14+
ax1.set_ylabel('Voltage [V]')
15+
ax1.set_title('A sine wave')
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t=np.arange(0.0,1.0,0.01)
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s=np.sin(2*np.pi*t)
@@ -23,7 +23,7 @@
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ax2=fig.add_axes([0.15,0.1,0.7,0.3])
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n,bins,patches=ax2.hist(np.random.randn(1000),50)
26-
ax2.set_xlabel('time (s)')
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ax2.set_xlabel('Time [s]')
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plt.show()
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‎examples/pyplots/pyplot_mathtext.py

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Original file line numberDiff line numberDiff line change
@@ -16,8 +16,8 @@
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plt.text(1,-0.6,r'$\sum_{i=0}^\infty x_i$',fontsize=20)
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plt.text(0.6,0.6,r'$\mathcal{A}\mathrm{sin}(2 \omega t)$',
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fontsize=20)
19-
plt.xlabel('time (s)')
20-
plt.ylabel('volts (mV)')
19+
plt.xlabel('Time [s]')
20+
plt.ylabel('Voltage [mV]')
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plt.show()
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#############################################################################

‎tutorials/advanced/path_tutorial.py

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@@ -76,11 +76,11 @@
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# ==============
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#
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# Some of the path components require multiple vertices to specify them:
79-
# for example CURVE 3 is a `bézier
79+
# for example CURVE 3 is a `Bézier
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# <https://en.wikipedia.org/wiki/B%C3%A9zier_curve>`_ curve with one
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# control point and one end point, and CURVE4 has three vertices for the
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# two control points and the end point. The example below shows a
83-
# CURVE4 Bézier spline -- thebézier curve will be contained in the
83+
# CURVE4 Bézier spline -- theBézier curve will be contained in the
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# convex hull of the start point, the two control points, and the end
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# point
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@@ -139,8 +139,8 @@
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# for each histogram bar: the rectangle width is the bin width and the
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# rectangle height is the number of datapoints in that bin. First we'll
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# create some random normally distributed data and compute the
142-
# histogram. Becausenumpy returns the bin edges and not centers, the
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# length of ``bins`` is1 greater than the length of ``n`` in the
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# histogram. BecauseNumPy returns the bin edges and not centers, the
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# length of ``bins`` isone greater than the length of ``n`` in the
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# example below::
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#
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# # histogram our data with numpy
@@ -159,10 +159,10 @@
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#
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# Now we have to construct our compound path, which will consist of a
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# series of ``MOVETO``, ``LINETO`` and ``CLOSEPOLY`` for each rectangle.
162-
# For each rectangle, we need5 vertices:1 for the ``MOVETO``, 3 for
163-
# the ``LINETO``, and1 for the ``CLOSEPOLY``. As indicated in the
164-
# table above, the vertex for the closepoly is ignored but we still need
165-
# it to keep the codes aligned with the vertices::
162+
# For each rectangle, we needfive vertices:one for the ``MOVETO``,
163+
#three forthe ``LINETO``, andone for the ``CLOSEPOLY``. As indicated
164+
#in thetable above, the vertex for the closepoly is ignored but we still
165+
#needit to keep the codes aligned with the vertices::
166166
#
167167
# nverts = nrects*(1+3+1)
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# verts = np.zeros((nverts, 2))

‎tutorials/intermediate/artists.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -123,8 +123,8 @@ class in the Matplotlib API, and the one you will be working with most
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fig=plt.figure()
124124
fig.subplots_adjust(top=0.8)
125125
ax1=fig.add_subplot(211)
126-
ax1.set_ylabel('volts')
127-
ax1.set_title('a sine wave')
126+
ax1.set_ylabel('Voltage [V]')
127+
ax1.set_title('A sine wave')
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129129
t=np.arange(0.0,1.0,0.01)
130130
s=np.sin(2*np.pi*t)
@@ -136,7 +136,7 @@ class in the Matplotlib API, and the one you will be working with most
136136
ax2=fig.add_axes([0.15,0.1,0.7,0.3])
137137
n,bins,patches=ax2.hist(np.random.randn(1000),50,
138138
facecolor='yellow',edgecolor='yellow')
139-
ax2.set_xlabel('time (s)')
139+
ax2.set_xlabel('Time [s]')
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141141
plt.show()
142142

‎tutorials/intermediate/constrainedlayout_guide.py

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Original file line numberDiff line numberDiff line change
@@ -263,7 +263,7 @@ def example_plot(ax, fontsize=12, hide_labels=False):
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##########################################
265265
# If there are more than two columns, the *wspace* is shared between them,
266-
# so here the wspace is divided in2, with a *wspace* of 0.1 between each
266+
# so here the wspace is divided intwo, with a *wspace* of 0.1 between each
267267
# column:
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269269
fig,axs=plt.subplots(2,3,layout="constrained")

‎tutorials/introductory/pyplot.py

Lines changed: 4 additions & 2 deletions
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@@ -295,8 +295,10 @@ def f(t):
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# plt.figure(2) # a second figure
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# plt.plot([4, 5, 6]) # creates a subplot() by default
297297
#
298-
# plt.figure(1) # figure 1 current; subplot(212) still current
299-
# plt.subplot(211) # make subplot(211) in figure1 current
298+
# plt.figure(1) # first figure current;
299+
# # subplot(212) still current
300+
# plt.subplot(211) # make subplot(211) in the first figure
301+
# # current
300302
# plt.title('Easy as 1, 2, 3') # subplot 211 title
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#
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# You can clear the current figure with `~.pyplot.clf`

‎tutorials/text/text_intro.py

Lines changed: 6 additions & 6 deletions
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@@ -118,7 +118,7 @@
118118
fig,ax=plt.subplots(figsize=(5,3))
119119
fig.subplots_adjust(bottom=0.15,left=0.2)
120120
ax.plot(x1,y1)
121-
ax.set_xlabel('time [s]')
121+
ax.set_xlabel('Time [s]')
122122
ax.set_ylabel('Damped oscillation [V]')
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124124
plt.show()
@@ -131,7 +131,7 @@
131131
fig,ax=plt.subplots(figsize=(5,3))
132132
fig.subplots_adjust(bottom=0.15,left=0.2)
133133
ax.plot(x1,y1*10000)
134-
ax.set_xlabel('time [s]')
134+
ax.set_xlabel('Time [s]')
135135
ax.set_ylabel('Damped oscillation [V]')
136136

137137
plt.show()
@@ -144,7 +144,7 @@
144144
fig,ax=plt.subplots(figsize=(5,3))
145145
fig.subplots_adjust(bottom=0.15,left=0.2)
146146
ax.plot(x1,y1*10000)
147-
ax.set_xlabel('time [s]')
147+
ax.set_xlabel('Time [s]')
148148
ax.set_ylabel('Damped oscillation [V]',labelpad=18)
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150150
plt.show()
@@ -159,7 +159,7 @@
159159
fig,ax=plt.subplots(figsize=(5,3))
160160
fig.subplots_adjust(bottom=0.15,left=0.2)
161161
ax.plot(x1,y1)
162-
ax.set_xlabel('time [s]',position=(0.,1e6),horizontalalignment='left')
162+
ax.set_xlabel('Time [s]',position=(0.,1e6),horizontalalignment='left')
163163
ax.set_ylabel('Damped oscillation [V]')
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165165
plt.show()
@@ -179,7 +179,7 @@
179179
fig,ax=plt.subplots(figsize=(5,3))
180180
fig.subplots_adjust(bottom=0.15,left=0.2)
181181
ax.plot(x1,y1)
182-
ax.set_xlabel('time [s]',fontsize='large',fontweight='bold')
182+
ax.set_xlabel('Time [s]',fontsize='large',fontweight='bold')
183183
ax.set_ylabel('Damped oscillation [V]',fontproperties=font)
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185185
plt.show()
@@ -191,7 +191,7 @@
191191
fig,ax=plt.subplots(figsize=(5,3))
192192
fig.subplots_adjust(bottom=0.2,left=0.2)
193193
ax.plot(x1,np.cumsum(y1**2))
194-
ax.set_xlabel('time [s]\n This was a long experiment')
194+
ax.set_xlabel('Time [s]\n This was a long experiment')
195195
ax.set_ylabel(r'$\int\ Y^2\ dt\ \ [V^2 s]$')
196196
plt.show()
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