
python三维数据可视化
SimonChenHere
PhD Candidate,计算机本,人工智能硕,网络安全博。
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将多张连续的静态图转成gif动态图
convert -delay 10 -loop 0 *.png keras_class_boundaries.gif原创 2020-10-26 10:38:09 · 838 阅读 · 0 评论 -
matplotlib显示图中标签
import matplotlib.pyplot as pltimport numpy as npplt.rcParams[‘font.sans-serif’]=[‘SimHei’]plt.rcParams[‘axes.unicode_minus’] = FalseCC = [72.34,64.08,90.02,82.32,68.56,69.21]BC = [71.32,80.31,82.36,92.16,72.56,81.87]BBC = [74.01,80.56,90.62,94.45,80原创 2020-06-05 17:53:49 · 2623 阅读 · 0 评论 -
python matplotlib绘图显示中文
plt.rcParams[‘font.sans-serif’]=[‘SimHei’]plt.rcParams[‘axes.unicode_minus’] = False原创 2020-06-05 17:48:18 · 323 阅读 · 0 评论 -
9.6.1 三维数据可视化之曲面图
import matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3Dimport numpy as np#主要使用的是ax3d.plot_surface()x = np.arange(-5,5,0.1)y = np.arange(-5,5,0.1)X , Y = np.meshgrid(x, y)Z = np.s...原创 2020-05-05 18:06:15 · 5315 阅读 · 0 评论 -
9.6.1 三维数据可视化之平面图
import matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3Dimport numpy as npx = np.arange(1,5)y = np.arange(1,5)X , Y = np.meshgrid(x, y)Z = 2 * X + Yfig = plt.figure()ax3d = Ax...原创 2020-05-05 17:42:29 · 1089 阅读 · 0 评论 -
9.6.1 三维数据可视化之散点图
import matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3Dimport numpy as np# mplot3d工具集# 绘制三维图形# 内置于Matplotlib# Figure对象# Axes3d对象x = np.random.uniform(10,40.30)y = np...原创 2020-05-05 17:40:42 · 4597 阅读 · 0 评论