python绘制三维图需要资料的加我：点击一、初始化假设已经安装了matplotlib工具包。利用matpl

一、初始化

假设已经安装了matplotlib工具包。

利用matplotlib.figure.Figure创建一个图框：


1234	`import` matplotlib.pyplot as plt``from mpl_toolkits.mplot3d ``import Axes3D``fig ``= plt.figure()``ax ``= fig.add_subplot(``111``, projection``=``'3d'``)

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二、直线绘制（Line plots）

基本用法：


1	ax.plot(x,y,z,label``=``' '``)

code:

123456789101112131415161718 import matplotlib as mpl``from mpl_toolkits.mplot3d ``import Axes3D``import numpy as np``import matplotlib.pyplot as plt``mpl.rcParams[``'legend.fontsize'``] ``= 10``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``theta ``= np.linspace(``-``4 * np.pi, ``4 * np.pi, ``100``)``z ``= np.linspace(``-``2``, ``2``, ``100``)``r ``= z``*``*``2 + 1``x ``= r ``* np.sin(theta)``y ``= r ``* np.cos(theta)``ax.plot(x, y, z, label``=``'parametric curve'``)``ax.legend()``plt.show()


123456789101112131415161718	`import` matplotlib as mpl``from mpl_toolkits.mplot3d ``import Axes3D``import numpy as np``import matplotlib.pyplot as plt``mpl.rcParams[``'legend.fontsize'``] ``= 10``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``theta ``= np.linspace(``-``4 `` np.pi, ``4 `` np.pi, ``100``)``z ``= np.linspace(``-``2``, ``2``, ``100``)``r ``= z``````2 `+` 1``x ``= r ``* np.sin(theta)``y ``= r ``* np.cos(theta)``ax.plot(x, y, z, label``=``'parametric curve'``)``ax.legend()``plt.show()

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三、散点绘制（Scatter plots）

基本用法：


1	ax.scatter(xs, ys, zs, s``=``20``, c``=``None``, depthshade``=``True``, ````args, ````kwargs)

xs,ys,zs：输入数据；

s:scatter点的尺寸

c:颜色，如c = 'r'就是红色；

depthshase:透明化，True为透明，默认为True，False为不透明

*args等为扩展变量，如maker = 'o'，则scatter结果为’o‘的形状

code:

123456789101112131415161718192021222324252627282930 from mpl_toolkits.mplot3d ``import Axes3D``import matplotlib.pyplot as plt``import numpy as np``def randrange(n, vmin, vmax):`` ``'''`` ``Helper function to make an array of random numbers having shape (n, )`` ``with each number distributed Uniform(vmin, vmax).`` ``'''`` ``return (vmax ``- vmin)``*``np.random.rand(n) ``+ vmin``fig ``= plt.figure()``ax ``= fig.add_subplot(``111``, projection``=``'3d'``)``n ``= 100``# For each set of style and range settings, plot n random points in the box``# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].``for c, m, zlow, zhigh ``in [(``'r'``, ``'o'``, ``-``50``, ``-``25``), (``'b'``, ``'^'``, ``-``30``, ``-``5``)]:`` ``xs ``= randrange(n, ``23``, ``32``)`` ``ys ``= randrange(n, ``0``, ``100``)`` ``zs ``= randrange(n, zlow, zhigh)`` ``ax.scatter(xs, ys, zs, c``=``c, marker``=``m)``ax.set_xlabel(``'X Label'``)``ax.set_ylabel(``'Y Label'``)``ax.set_zlabel(``'Z Label'``)``plt.show()


123456789101112131415161718192021222324252627282930	`from` mpl_toolkits.mplot3d ``import Axes3D``import matplotlib.pyplot as plt``import numpy as np``def randrange(n, vmin, vmax):`` ``'''`` ``Helper function to make an array of random numbers having shape (n, )`` ``with each number distributed Uniform(vmin, vmax).`` ``'''`` ``return (vmax ``- vmin)``*``np.random.rand(n) ``+ vmin``fig ``= plt.figure()``ax ``= fig.add_subplot(``111``, projection``=``'3d'``)``n ``= 100``# For each set of style and range settings, plot n random points in the box``# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].``for c, m, zlow, zhigh ``in [(``'r'``, ``'o'``, ``-``50``, ``-``25``), (``'b'``, ``'^'``, ``-``30``, ``-``5``)]:`` ``xs ``= randrange(n, ``23``, ``32``)`` ``ys ``= randrange(n, ``0``, ``100``)`` ``zs ``= randrange(n, zlow, zhigh)`` ``ax.scatter(xs, ys, zs, c``=``c, marker``=``m)``ax.set_xlabel(``'X Label'``)``ax.set_ylabel(``'Y Label'``)``ax.set_zlabel(``'Z Label'``)``plt.show()

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四、线框图（Wireframe plots）

基本用法：


1	ax.plot_wireframe(X, Y, Z, ````args, ````*``kwargs)

X,Y,Z：输入数据

rstride:行步长

cstride:列步长

rcount:行数上限

ccount:列数上限

code:


1234567891011121314	`from` mpl_toolkits.mplot3d ``import axes3d``import matplotlib.pyplot as plt``fig ``= plt.figure()``ax ``= fig.add_subplot(``111``, projection``=``'3d'``)``# Grab some test data.``X, Y, Z ``= axes3d.get_test_data(``0.05``)``# Plot a basic wireframe.``ax.plot_wireframe(X, Y, Z, rstride``=``10``, cstride``=``10``)``plt.show()

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五、表面图（Surface plots）

基本用法：


1	ax.plot_surface(X, Y, Z, ````args, ````*``kwargs)

X,Y,Z：数据

rstride、cstride、rcount、ccount:同Wireframe plots定义

color:表面颜色

cmap:图层

code:

123456789101112131415161718192021222324252627282930 from mpl_toolkits.mplot3d ``import Axes3D``import matplotlib.pyplot as plt``from matplotlib ``import cm``from matplotlib.ticker ``import LinearLocator, FormatStrFormatter``import numpy as np``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``# Make data.``X ``= np.arange(``-``5``, ``5``, ``0.25``)``Y ``= np.arange(``-``5``, ``5``, ``0.25``)``X, Y ``= np.meshgrid(X, Y)``R ``= np.sqrt(X``*``*``2 + Y``*``*``2``)``Z ``= np.sin(R)``# Plot the surface.``surf ``= ax.plot_surface(X, Y, Z, cmap``=``cm.coolwarm,`` ``linewidth``=``0``, antialiased``=``False``)``# Customize the z axis.``ax.set_zlim(``-``1.01``, ``1.01``)``ax.zaxis.set_major_locator(LinearLocator(``10``))``ax.zaxis.set_major_formatter(FormatStrFormatter(``'%.02f'``))``# Add a color bar which maps values to colors.``fig.colorbar(surf, shrink``=``0.5``, aspect``=``5``)``plt.show()


123456789101112131415161718192021222324252627282930	`from` mpl_toolkits.mplot3d ``import Axes3D``import matplotlib.pyplot as plt``from matplotlib ``import cm``from matplotlib.ticker ``import LinearLocator, FormatStrFormatter``import numpy as np``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``# Make data.``X ``= np.arange(``-``5``, ``5``, ``0.25``)``Y ``= np.arange(``-``5``, ``5``, ``0.25``)``X, Y ``= np.meshgrid(X, Y)``R ``= np.sqrt(X``````2 `+` Y``````2``)``Z ``= np.sin(R)``# Plot the surface.``surf ``= ax.plot_surface(X, Y, Z, cmap``=``cm.coolwarm,`` ``linewidth``=``0``, antialiased``=``False``)``# Customize the z axis.``ax.set_zlim(``-``1.01``, ``1.01``)``ax.zaxis.set_major_locator(LinearLocator(``10``))``ax.zaxis.set_major_formatter(FormatStrFormatter(``'%.02f'``))``# Add a color bar which maps values to colors.``fig.colorbar(surf, shrink``=``0.5``, aspect``=``5``)``plt.show()

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六、三角表面图（Tri-Surface plots）

基本用法：


1	ax.plot_trisurf(````args, ````*``kwargs)

X,Y,Z:数据

其他参数类似surface-plot

code:

123456789101112131415161718192021222324252627282930 from mpl_toolkits.mplot3d ``import Axes3D``import matplotlib.pyplot as plt``import numpy as np``n_radii ``= 8``n_angles ``= 36``# Make radii and angles spaces (radius r=0 omitted to eliminate duplication).``radii ``= np.linspace(``0.125``, ``1.0``, n_radii)``angles ``= np.linspace(``0``, ``2``*``np.pi, n_angles, endpoint``=``False``)``# Repeat all angles for each radius.``angles ``= np.repeat(angles[..., np.newaxis], n_radii, axis``=``1``)``# Convert polar (radii, angles) coords to cartesian (x, y) coords.``# (0, 0) is manually added at this stage, so there will be no duplicate``# points in the (x, y) plane.``x ``= np.append(``0``, (radii``*``np.cos(angles)).flatten())``y ``= np.append(``0``, (radii``*``np.sin(angles)).flatten())``# Compute z to make the pringle surface.``z ``= np.sin(``-``x``*``y)``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``ax.plot_trisurf(x, y, z, linewidth``=``0.2``, antialiased``=``True``)``plt.show()


123456789101112131415161718192021222324252627282930	`from` mpl_toolkits.mplot3d ``import Axes3D``import matplotlib.pyplot as plt``import numpy as np``n_radii ``= 8``n_angles ``= 36``# Make radii and angles spaces (radius r=0 omitted to eliminate duplication).``radii ``= np.linspace(``0.125``, ``1.0``, n_radii)``angles ``= np.linspace(``0``, ``2````np.pi, n_angles, endpoint``=``False``)``# Repeat all angles for each radius.``angles ``= np.repeat(angles[..., np.newaxis], n_radii, axis``=``1``)``# Convert polar (radii, angles) coords to cartesian (x, y) coords.``# (0, 0) is manually added at this stage, so there will be no duplicate``# points in the (x, y) plane.``x ``= np.append(``0``, (radii````np.cos(angles)).flatten())``y ``= np.append(``0``, (radii````np.sin(angles)).flatten())``# Compute z to make the pringle surface.``z ``= np.sin(``-``x````y)``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``ax.plot_trisurf(x, y, z, linewidth``=``0.2``, antialiased``=``True``)``plt.show()

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七、等高线（Contour plots）

基本用法：


1	ax.contour(X, Y, Z, ````args, ````*``kwargs)

code:


1234567891011	`from` mpl_toolkits.mplot3d ``import axes3d``import matplotlib.pyplot as plt``from matplotlib ``import cm``fig ``= plt.figure()``ax ``= fig.add_subplot(``111``, projection``=``'3d'``)``X, Y, Z ``= axes3d.get_test_data(``0.05``)``cset ``= ax.contour(X, Y, Z, cmap``=``cm.coolwarm)``ax.clabel(cset, fontsize``=``9``, inline``=``1``)``plt.show()

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二维的等高线，同样可以配合三维表面图一起绘制：

code:

123456789101112131415161718192021 from mpl_toolkits.mplot3d ``import axes3d``from mpl_toolkits.mplot3d ``import axes3d``import matplotlib.pyplot as plt``from matplotlib ``import cm``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``X, Y, Z ``= axes3d.get_test_data(``0.05``)``ax.plot_surface(X, Y, Z, rstride``=``8``, cstride``=``8``, alpha``=``0.3``)``cset ``= ax.contour(X, Y, Z, zdir``=``'z'``, offset``=``-``100``, cmap``=``cm.coolwarm)``cset ``= ax.contour(X, Y, Z, zdir``=``'x'``, offset``=``-``40``, cmap``=``cm.coolwarm)``cset ``= ax.contour(X, Y, Z, zdir``=``'y'``, offset``=``40``, cmap``=``cm.coolwarm)``ax.set_xlabel(``'X'``)``ax.set_xlim(``-``40``, ``40``)``ax.set_ylabel(``'Y'``)``ax.set_ylim(``-``40``, ``40``)``ax.set_zlabel(``'Z'``)``ax.set_zlim(``-``100``, ``100``)``plt.show()


123456789101112131415161718192021	`from` mpl_toolkits.mplot3d ``import axes3d``from mpl_toolkits.mplot3d ``import axes3d``import matplotlib.pyplot as plt``from matplotlib ``import cm``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``X, Y, Z ``= axes3d.get_test_data(``0.05``)``ax.plot_surface(X, Y, Z, rstride``=``8``, cstride``=``8``, alpha``=``0.3``)``cset ``= ax.contour(X, Y, Z, zdir``=``'z'``, offset``=``-``100``, cmap``=``cm.coolwarm)``cset ``= ax.contour(X, Y, Z, zdir``=``'x'``, offset``=``-``40``, cmap``=``cm.coolwarm)``cset ``= ax.contour(X, Y, Z, zdir``=``'y'``, offset``=``40``, cmap``=``cm.coolwarm)``ax.set_xlabel(``'X'``)``ax.set_xlim(``-``40``, ``40``)``ax.set_ylabel(``'Y'``)``ax.set_ylim(``-``40``, ``40``)``ax.set_zlabel(``'Z'``)``ax.set_zlim(``-``100``, ``100``)``plt.show()

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也可以是三维等高线在二维平面的投影：

code:

1234567891011121314151617181920 from mpl_toolkits.mplot3d ``import axes3d``import matplotlib.pyplot as plt``from matplotlib ``import cm``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``X, Y, Z ``= axes3d.get_test_data(``0.05``)``ax.plot_surface(X, Y, Z, rstride``=``8``, cstride``=``8``, alpha``=``0.3``)``cset ``= ax.contourf(X, Y, Z, zdir``=``'z'``, offset``=``-``100``, cmap``=``cm.coolwarm)``cset ``= ax.contourf(X, Y, Z, zdir``=``'x'``, offset``=``-``40``, cmap``=``cm.coolwarm)``cset ``= ax.contourf(X, Y, Z, zdir``=``'y'``, offset``=``40``, cmap``=``cm.coolwarm)``ax.set_xlabel(``'X'``)``ax.set_xlim(``-``40``, ``40``)``ax.set_ylabel(``'Y'``)``ax.set_ylim(``-``40``, ``40``)``ax.set_zlabel(``'Z'``)``ax.set_zlim(``-``100``, ``100``)``plt.show()


1234567891011121314151617181920	`from` mpl_toolkits.mplot3d ``import axes3d``import matplotlib.pyplot as plt``from matplotlib ``import cm``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``X, Y, Z ``= axes3d.get_test_data(``0.05``)``ax.plot_surface(X, Y, Z, rstride``=``8``, cstride``=``8``, alpha``=``0.3``)``cset ``= ax.contourf(X, Y, Z, zdir``=``'z'``, offset``=``-``100``, cmap``=``cm.coolwarm)``cset ``= ax.contourf(X, Y, Z, zdir``=``'x'``, offset``=``-``40``, cmap``=``cm.coolwarm)``cset ``= ax.contourf(X, Y, Z, zdir``=``'y'``, offset``=``40``, cmap``=``cm.coolwarm)``ax.set_xlabel(``'X'``)``ax.set_xlim(``-``40``, ``40``)``ax.set_ylabel(``'Y'``)``ax.set_ylim(``-``40``, ``40``)``ax.set_zlabel(``'Z'``)``ax.set_zlim(``-``100``, ``100``)``plt.show()

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八、Bar plots（条形图）

基本用法：


1	ax.bar(left, height, zs``=``0``, zdir``=``'z'``, ````args, ````*``kwargs

x，y，zs = z，数据

zdir:条形图平面化的方向，具体可以对应代码理解。

code:

123456789101112131415161718192021 from mpl_toolkits.mplot3d ``import Axes3D``import matplotlib.pyplot as plt``import numpy as np``fig ``= plt.figure()``ax ``= fig.add_subplot(``111``, projection``=``'3d'``)``for c, z ``in zip``([``'r'``, ``'g'``, ``'b'``, ``'y'``], [``30``, ``20``, ``10``, ``0``]):`` ``xs ``= np.arange(``20``)`` ``ys ``= np.random.rand(``20``)`` ``# You can provide either a single color or an array. To demonstrate this,`` ``# the first bar of each set will be colored cyan.`` ``cs ``= [c] ``* len``(xs)`` ``cs[``0``] ``= 'c'`` ``ax.bar(xs, ys, zs``=``z, zdir``=``'y'``, color``=``cs, alpha``=``0.8``)``ax.set_xlabel(``'X'``)``ax.set_ylabel(``'Y'``)``ax.set_zlabel(``'Z'``)``plt.show()


123456789101112131415161718192021	`from` mpl_toolkits.mplot3d ``import Axes3D``import matplotlib.pyplot as plt``import numpy as np``fig ``= plt.figure()``ax ``= fig.add_subplot(``111``, projection``=``'3d'``)``for c, z ``in zip``([``'r'``, ``'g'``, ``'b'``, ``'y'``], [``30``, ``20``, ``10``, ``0``]):`` ``xs ``= np.arange(``20``)`` ``ys ``= np.random.rand(``20``)`` ``# You can provide either a single color or an array. To demonstrate this,`` ``# the first bar of each set will be colored cyan.`` ``cs ``= [c] ``* len``(xs)`` ``cs[``0``] ``= 'c'`` ``ax.bar(xs, ys, zs``=``z, zdir``=``'y'``, color``=``cs, alpha``=``0.8``)``ax.set_xlabel(``'X'``)``ax.set_ylabel(``'Y'``)``ax.set_zlabel(``'Z'``)``plt.show()

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九、子图绘制（subplot）

　　A-不同的2-D图形，分布在3-D空间，其实就是投影空间不空，对应code:

12345678910111213141516171819202122232425262728293031 from mpl_toolkits.mplot3d ``import Axes3D``import numpy as np``import matplotlib.pyplot as plt``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``# Plot a sin curve using the x and y axes.``x ``= np.linspace(``0``, ``1``, ``100``)``y ``= np.sin(x ``* 2 * np.pi) ``/ 2 + 0.5``ax.plot(x, y, zs``=``0``, zdir``=``'z'``, label``=``'curve in (x,y)'``)``# Plot scatterplot data (20 2D points per colour) on the x and z axes.``colors ``= (``'r'``, ``'g'``, ``'b'``, ``'k'``)``x ``= np.random.sample(``20``*``len``(colors))``y ``= np.random.sample(``20``*``len``(colors))``c_list ``= []``for c ``in colors:`` ``c_list.append([c]``*``20``)``# By using zdir='y', the y value of these points is fixed to the zs value 0``# and the (x,y) points are plotted on the x and z axes.``ax.scatter(x, y, zs``=``0``, zdir``=``'y'``, c``=``c_list, label``=``'points in (x,z)'``)``# Make legend, set axes limits and labels``ax.legend()``ax.set_xlim(``0``, ``1``)``ax.set_ylim(``0``, ``1``)``ax.set_zlim(``0``, ``1``)``ax.set_xlabel(``'X'``)``ax.set_ylabel(``'Y'``)``ax.set_zlabel(``'Z'``)


12345678910111213141516171819202122232425262728293031	`from` mpl_toolkits.mplot3d ``import Axes3D``import numpy as np``import matplotlib.pyplot as plt``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``# Plot a sin curve using the x and y axes.``x ``= np.linspace(``0``, ``1``, ``100``)``y ``= np.sin(x ``* `2` `` np.pi) ``/ `2` `+` 0.5``ax.plot(x, y, zs``=``0``, zdir``=``'z'``, label``=``'curve in (x,y)'``)``# Plot scatterplot data (20 2D points per colour) on the x and z axes.``colors ``= (``'r'``, ``'g'``, ``'b'``, ``'k'``)``x ``= np.random.sample(``20````len``(colors))``y ``= np.random.sample(``20````len``(colors))``c_list ``= []``for c ``in colors:`` ``c_list.append([c]````20``)``# By using zdir='y', the y value of these points is fixed to the zs value 0``# and the (x,y) points are plotted on the x and z axes.``ax.scatter(x, y, zs``=``0``, zdir``=``'y'``, c``=``c_list, label``=``'points in (x,z)'``)``# Make legend, set axes limits and labels``ax.legend()``ax.set_xlim(``0``, ``1``)``ax.set_ylim(``0``, ``1``)``ax.set_zlim(``0``, ``1``)``ax.set_xlabel(``'X'``)``ax.set_ylabel(``'Y'``)``ax.set_zlabel(``'Z'``)

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B-子图Subplot用法

与MATLAB不同的是，如果一个四子图效果，如：

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MATLAB：

123 subplot(``2``,``2``,``1``)``subplot(``2``,``2``,``2``)``subplot(``2``,``2``,[``3``,``4``])

Python:

123 subplot(``2``,``2``,``1``)``subplot(``2``,``2``,``2``)``subplot(``2``,``1``,``2``)


123	subplot(``2``,``2``,``1``)``subplot(``2``,``2``,``2``)``subplot(``2``,``2``,[``3``,``4``])


123	subplot(``2``,``2``,``1``)``subplot(``2``,``2``,``2``)``subplot(``2``,``1``,``2``)

code:

12345678910111213141516171819202122232425262728293031323334353637 import matplotlib.pyplot as plt``from mpl_toolkits.mplot3d.axes3d ``import Axes3D, get_test_data``from matplotlib ``import cm``import numpy as np``# set up a figure twice as wide as it is tall``fig ``= plt.figure(figsize``=``plt.figaspect(``0.5``))``#===============``# First subplot``#===============``# set up the axes for the first plot``ax ``= fig.add_subplot(``2``, ``2``, ``1``, projection``=``'3d'``)``# plot a 3D surface like in the example mplot3d/surface3d_demo``X ``= np.arange(``-``5``, ``5``, ``0.25``)``Y ``= np.arange(``-``5``, ``5``, ``0.25``)``X, Y ``= np.meshgrid(X, Y)``R ``= np.sqrt(X``*``*``2 + Y``*``*``2``)``Z ``= np.sin(R)``surf ``= ax.plot_surface(X, Y, Z, rstride``=``1``, cstride``=``1``, cmap``=``cm.coolwarm,`` ``linewidth``=``0``, antialiased``=``False``)``ax.set_zlim(``-``1.01``, ``1.01``)``fig.colorbar(surf, shrink``=``0.5``, aspect``=``10``)``#===============``# Second subplot``#===============``# set up the axes for the second plot``ax ``= fig.add_subplot(``2``,``1``,``2``, projection``=``'3d'``)``# plot a 3D wireframe like in the example mplot3d/wire3d_demo``X, Y, Z ``= get_test_data(``0.05``)``ax.plot_wireframe(X, Y, Z, rstride``=``10``, cstride``=``10``)``plt.show()


12345678910111213141516171819202122232425262728293031323334353637	`import` matplotlib.pyplot as plt``from mpl_toolkits.mplot3d.axes3d ``import Axes3D, get_test_data``from matplotlib ``import cm``import numpy as np``# set up a figure twice as wide as it is tall``fig ``= plt.figure(figsize``=``plt.figaspect(``0.5``))``#===============``# First subplot``#===============``# set up the axes for the first plot``ax ``= fig.add_subplot(``2``, ``2``, ``1``, projection``=``'3d'``)``# plot a 3D surface like in the example mplot3d/surface3d_demo``X ``= np.arange(``-``5``, ``5``, ``0.25``)``Y ``= np.arange(``-``5``, ``5``, ``0.25``)``X, Y ``= np.meshgrid(X, Y)``R ``= np.sqrt(X``````2 `+` Y``````2``)``Z ``= np.sin(R)``surf ``= ax.plot_surface(X, Y, Z, rstride``=``1``, cstride``=``1``, cmap``=``cm.coolwarm,`` ``linewidth``=``0``, antialiased``=``False``)``ax.set_zlim(``-``1.01``, ``1.01``)``fig.colorbar(surf, shrink``=``0.5``, aspect``=``10``)``#===============``# Second subplot``#===============``# set up the axes for the second plot``ax ``= fig.add_subplot(``2``,``1``,``2``, projection``=``'3d'``)``# plot a 3D wireframe like in the example mplot3d/wire3d_demo``X, Y, Z ``= get_test_data(``0.05``)``ax.plot_wireframe(X, Y, Z, rstride``=``10``, cstride``=``10``)``plt.show()

编辑

补充：

文本注释的基本用法：

code:

123456789101112131415161718192021222324252627282930313233 from mpl_toolkits.mplot3d ``import Axes3D``import matplotlib.pyplot as plt``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``# Demo 1: zdir``zdirs ``= (``None``, ``'x'``, ``'y'``, ``'z'``, (``1``, ``1``, ``0``), (``1``, ``1``, ``1``))``xs ``= (``1``, ``4``, ``4``, ``9``, ``4``, ``1``)``ys ``= (``2``, ``5``, ``8``, ``10``, ``1``, ``2``)``zs ``= (``10``, ``3``, ``8``, ``9``, ``1``, ``8``)``for zdir, x, y, z ``in zip``(zdirs, xs, ys, zs):`` ``label ``= '(%d, %d, %d), dir=%s' % (x, y, z, zdir)`` ``ax.text(x, y, z, label, zdir)``# Demo 2: color``ax.text(``9``, ``0``, ``0``, ``"red"``, color``=``'red'``)``# Demo 3: text2D``# Placement 0, 0 would be the bottom left, 1, 1 would be the top right.``ax.text2D(``0.05``, ``0.95``, ``"2D Text"``, transform``=``ax.transAxes)``# Tweaking display region and labels``ax.set_xlim(``0``, ``10``)``ax.set_ylim(``0``, ``10``)``ax.set_zlim(``0``, ``10``)``ax.set_xlabel(``'X axis'``)``ax.set_ylabel(``'Y axis'``)``ax.set_zlabel(``'Z axis'``)``plt.show()


123456789101112131415161718192021222324252627282930313233	`from` mpl_toolkits.mplot3d ``import Axes3D``import matplotlib.pyplot as plt``fig ``= plt.figure()``ax ``= fig.gca(projection``=``'3d'``)``# Demo 1: zdir``zdirs ``= (``None``, ``'x'``, ``'y'``, ``'z'``, (``1``, ``1``, ``0``), (``1``, ``1``, ``1``))``xs ``= (``1``, ``4``, ``4``, ``9``, ``4``, ``1``)``ys ``= (``2``, ``5``, ``8``, ``10``, ``1``, ``2``)``zs ``= (``10``, ``3``, ``8``, ``9``, ``1``, ``8``)``for zdir, x, y, z ``in zip``(zdirs, xs, ys, zs):`` ``label ``= `'(%d, %d, %d), dir=%s'` `%` (x, y, z, zdir)`` ``ax.text(x, y, z, label, zdir)``# Demo 2: color``ax.text(``9``, ``0``, ``0``, ``"red"``, color``=``'red'``)``# Demo 3: text2D``# Placement 0, 0 would be the bottom left, 1, 1 would be the top right.``ax.text2D(``0.05``, ``0.95``, ``"2D Text"``, transform``=``ax.transAxes)``# Tweaking display region and labels``ax.set_xlim(``0``, ``10``)``ax.set_ylim(``0``, ``10``)``ax.set_zlim(``0``, ``10``)``ax.set_xlabel(``'X axis'``)``ax.set_ylabel(``'Y axis'``)``ax.set_zlabel(``'Z axis'``)``plt.show()