mplot3d | 易学教程

Colorbar for matplotlib plot_surface using facecolors

阅读更多关于 Colorbar for matplotlib plot_surface using facecolors

问题 I'm trying to plot in 3D colouring the surface with predefined colours using facecolors . The problem here is that cm.ScalarMappable normalizes surface V of colours while plt.cm.jet don't normalizes, so there is a mismatch of colours and colorbar. I've manually tried to normalize V (i.e. V_normalized ) but the result is still not quite correct. In fact, the highest value of V should be in a corner of the surface, but this is not reflected in the image in practice. How to plot ensuring to have

How to color a specific gridline/tickline in 3D Matplotlib Scatter Plot figure?

阅读更多关于 How to color a specific gridline/tickline in 3D Matplotlib Scatter Plot figure?

问题 I am trying to modify the color/thickness of a specific gridline in a 3D matplotlib scatter plot, in this case I want the -30 z axis grid line to be black, bold, or thickened so it stands out amongst the other gridlines. Here is the basic code seen from the mplot3d scatter plot tutorial: import numpy as np from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt def randrange(n, vmin, vmax): return (vmax-vmin)*np.random.rand(n) + vmin fig = plt.figure() ax = fig.add_subplot(111

python draw parallelepiped

阅读更多关于 python draw parallelepiped

问题 I am trying to draw a parallelepiped. Actually I started from the python script drawing a cube as: import numpy as np from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt points = np.array([[-1, -1, -1], [1, -1, -1 ], [1, 1, -1], [-1, 1, -1], [-1, -1, 1], [1, -1, 1 ], [1, 1, 1], [-1, 1, 1]]) fig = plt.figure() ax = fig.add_subplot(111, projection='3d') r = [-1,1] X, Y = np.meshgrid(r, r) ax.plot_surface(X,Y,1, alpha=0.5) ax.plot_surface(X,Y,-1, alpha=0.5) ax.plot_surface(X,

Surface and 3d contour in matplotlib

阅读更多关于 Surface and 3d contour in matplotlib

问题 I would like to plot a surface with a colormap, wireframe and contours using matplotlib . Something like this: Notice that I am not asking about the contours that lie in the plane parallel to xy but the ones that are 3D and white in the image. If I go the naïve way and plot all these things I cannot see the contours (see code and image below). import numpy as np from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111, projection="3d"

matplotlib 3d axes ticks, labels, and LaTeX

阅读更多关于 matplotlib 3d axes ticks, labels, and LaTeX

问题 I am running this sample script, with the following modifications: 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() ax.set_xlabel('$X$', fontsize=20,

Arrows in matplotlib using mplot3d

阅读更多关于 Arrows in matplotlib using mplot3d

问题 I am trying to use matplotlib to recreate the diagram on this page: http://books.google.co.uk/books?id=sf9Qn9MS0ykC&pg=PA18 Here is what I have so far: import numpy as np from matplotlib import pyplot as plt from mpl_toolkits.mplot3d import Axes3D from matplotlib.patches import FancyArrowPatch from mpl_toolkits.mplot3d import proj3d class Arrow3D(FancyArrowPatch): def __init__(self, xs, ys, zs, *args, **kwargs): FancyArrowPatch.__init__(self, (0,0), (0,0), *args, **kwargs) self._verts3d = xs,

Matplotlib 3D Bar chart: axis issue

阅读更多关于 Matplotlib 3D Bar chart: axis issue

I am having issue with getting data on x,y,z axis..below is my code. Is there any issue with the way i have defined range(dx,dy.dz) for different axis. result=[['122', '109', '2343', '220', '19'], ['15', '407', '37', '10', '102'], ['100', '100', '100', '100', '100'], ['113', '25', '19', '31', '112'], ['43', '219', '35', '33', '14'], ['132', '108', '256', '119', '14'], ['22', '48', '352', '51', '438']] from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt import matplotlib.ticker as ticker import matplotlib.dates as dates def format_date(x, pos=None): return dates.num2date(x)

Surface and 3d contour in matplotlib

阅读更多关于 Surface and 3d contour in matplotlib

I would like to plot a surface with a colormap, wireframe and contours using matplotlib . Something like this: Notice that I am not asking about the contours that lie in the plane parallel to xy but the ones that are 3D and white in the image. If I go the naïve way and plot all these things I cannot see the contours (see code and image below). import numpy as np from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111, projection="3d") X, Y = np.mgrid[-1:1:30j, -1:1:30j] Z = np.sin(np.pi*X)*np.sin(np.pi*Y) ax.plot_surface(X, Y, Z, cmap

python draw parallelepiped

阅读更多关于 python draw parallelepiped

I am trying to draw a parallelepiped. Actually I started from the python script drawing a cube as: import numpy as np from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt points = np.array([[-1, -1, -1], [1, -1, -1 ], [1, 1, -1], [-1, 1, -1], [-1, -1, 1], [1, -1, 1 ], [1, 1, 1], [-1, 1, 1]]) fig = plt.figure() ax = fig.add_subplot(111, projection='3d') r = [-1,1] X, Y = np.meshgrid(r, r) ax.plot_surface(X,Y,1, alpha=0.5) ax.plot_surface(X,Y,-1, alpha=0.5) ax.plot_surface(X,-1,Y, alpha=0.5) ax.plot_surface(X,1,Y, alpha=0.5) ax.plot_surface(1,X,Y, alpha=0.5) ax.plot_surface(-1

Connecting two points in a 3D scatter plot in Python and matplotlib

阅读更多关于 Connecting two points in a 3D scatter plot in Python and matplotlib

In the code below, how do I create lines connecting each pair of scatter plots (i.e. linking the green circle to the yellow arrowhead) created by the two lines of code towards the end just before the .show() instruction? import matplotlib.pyplot from mpl_toolkits.mplot3d import Axes3D dates = [20020514, 20020515, 20020516, 20020517, 20020520] highs = [1135, 1158, 1152, 1158, 1163] lows = [1257, 1253, 1259, 1264, 1252] upperLimits = [1125.0, 1125.0, 1093.75, 1125.0, 1125.0] lowerLimits = [1250.0, 1250.0, 1156.25, 1250.0, 1250.0] zaxisvalues0= [0, 0, 0, 0, 0] zaxisvalues1= [1, 1, 1, 1, 1]