我正在try 将我的3D三面图保存为交互式的HTML图形,因此应该可以放大/缩小和更改视点.在IDE中,到目前为止,该图已经存在并且工作正常,但我 由于ValueError,无法将其保存为HTML格式: "Figure参数必须是字典或数字. 收到的值类型为<;class‘matplotlib.figure.Figure’>;:Figure(1600x900)". 我不明白为什么"<;class‘matplotlib.figure.figure’>;"不是一个数字?
这就是我的做法:https://plotly.com/python/interactive-html-export/ 我已经用Gotry 过了.Figure()(Export rotable 3D plots from Python to HTML),但对trisurf不起作用.
有没有办法保留我的绘图设置(按原样使用trisurf)并以HTML格式获得交互图形?
非常感谢您的回复
#Import libraries
import matplotlib
#matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator
import numpy as np
from mpl_toolkits.mplot3d import axes3d, Axes3D
import pandas as pd
import plotly.express as px
import io
import plotly.io as pio
%matplotlib notebook
E = np.arange(225)
D = np.arange(225)
A = np.arange(225)
E = [10000.0, 10000.0, ...]
D = [500.0, 1000.0, ...]
A = [1.9495, 1.9644, ...]
#Create figure
fig = plt.figure(figsize =(16, 9))
ax = plt.axes(projection ='3d')
# Creating color map
my_cmap = plt.get_cmap('hot')
# Data for three-dimensional scattered points
zdata = A
xdata = D
ydata = E
# Creating plot
trisurf = ax.plot_trisurf(xdata, ydata, zdata,
cmap = my_cmap,
linewidth = 0.2,
antialiased = True,
edgecolor = 'grey')
fig.colorbar(trisurf, ax = ax, shrink = 0.5, aspect = 10)
ax.set_title('AIE_SIM0.003__lowE_10000_upE_460000_stepE_30000_lowD_500.0_upD_8000.0_stepD_500.0')
ax.set_xlabel('Damping Ns/m')
ax.set_ylabel('Stifness N/m')
ax.set_zlabel('Amplification')
A2 = np.arange(225)
A2.fill(20.757)
# Creating color map
my_cmap2 = plt.get_cmap('gray')
# Data for three-dimensional scattered points
zdata2 = A2
xdata = D
ydata = E
# Creating plot
trisurf2 = ax.plot_trisurf(xdata, ydata, zdata2,
cmap = my_cmap2,
linewidth = 0.2,
antialiased = False,
edgecolor = 'none', alpha = 0.2)
fig.colorbar(trisurf2, ax = ax, shrink = 0.5, aspect = 10)
print(type(fig))
#fig.write_html("file.html")
plotly.io.to_html(fig=fig)
fig.savefig('3D_Plot_PNG_lowE_10000_upE_460000_stepE_30000_lowD_500.0_upD_8000.0_stepD_500.0.png')
fig.show()
------------------------------------------------------------------------------------------
Figure 1
printed: <class 'matplotlib.figure.Figure'>
ValueError:
The fig parameter must be a dict or Figure.
Received value of type <class 'matplotlib.figure.Figure'>: Figure(1600x900)