在Python和matplotlib的3D散点图中的两点之间绘制一个矩形或条形

Zam*_*mbi 4 python matplotlib mplot3d

我有一个三维散点图,在其中一个平面上,每个日期绘制2个点.我问过如何在每对点之间绘制一条LINE,并得到了一个我很感激的答案.我现在想要的是画一个BAR或RECTANGLE连接点而不是一条线.

是目前情节的样子,但我希望它看起来有点像来自matplolib文档3D条形演示中的情节,除了条形"浮动"而不是固定在轴上.

我尝试过使用Axes3D.bar(如在matplotlib页面上所解释的那样)但它希望我为每个条形提供一个"高度"而不是两个实际坐标,并且该高度将固定在轴上.

这是代码,任何帮助表示赞赏.

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]
zaxisvalues2= [2, 2, 2, 2, 2]

fig = matplotlib.pyplot.figure()
ax  = fig.add_subplot(111, projection = '3d')

ax.plot(dates, zaxisvalues1, lowerLimits, color = 'b')
ax.plot(dates, zaxisvalues2, upperLimits, color = 'r')

for i,j,k,h in zip(dates,zaxisvalues0,lows,highs):
    ax.plot([i,i],[j,j],[k,h],color = 'g')

ax.scatter(dates, zaxisvalues0, highs, color = 'g', marker = "o")
ax.scatter(dates, zaxisvalues0, lows, color = 'y', marker = "^")

matplotlib.pyplot.show()
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Mar*_*ark 5

我认为使用PolyCollection会更容易.这跟你所追求的很接近吗?

在此输入图像描述

import matplotlib.pyplot
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.collections import PolyCollection
import random

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]
zaxisvalues2= [2, 2, 2, 2, 2]

fig = matplotlib.pyplot.figure()
ax  = fig.add_subplot(111, projection = '3d')

ax.plot(dates, zaxisvalues1, lowerLimits, color = 'b')
ax.plot(dates, zaxisvalues2, upperLimits, color = 'r')

verts = []; fcs = []
for i in range(len(dates)-1):
   xs = [dates[i],dates[i+1],dates[i+1],dates[i],dates[i]] # each box has 4 vertices, give it 5 to close it, these are the x coordinates
   ys = [highs[i],highs[i+1],lows[i+1],lows[i], highs[i]]  # each box has 4 vertices, give it 5 to close it, these are the y coordinates
   verts.append(zip(xs,ys))
   fcs.append((random.random(),random.random(),random.random(),0.6))

poly = PolyCollection(verts, facecolors = fcs, closed = False)
ax.add_collection3d(poly, zs=[zaxisvalues0[0]] * len(verts), zdir='y') # in the "z" just use the same coordinate

ax.scatter(dates, zaxisvalues0, highs, color = 'g', marker = "o")
ax.scatter(dates, zaxisvalues0, lows, color = 'y', marker = "^")

matplotlib.pyplot.show()
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