axs[0, 0].plot([1, 2, 3, 4], [10, 20, 25, 30]) axs[0, 1].plot([1, 2, 3, 4], [30, 25, 20, 10]) axs[1, 0].plot([1, 2, 3, 4], [15, 25, 5, 35]) axs[1, 1].plot([1, 2, 3, 4], [35, 5, 25, 15]) 调整子图之间的间距 plt.subplots_adjust(left=...
importmatplotlib.pyplotaspltimportnumpyasnp# 生成示例数据x=np.linspace(0,10,100)y=np.sin(x)# 创建图形并设置长宽比fig,ax=plt.subplots(figsize=(10,5))ax.plot(x,y)# 设置长宽比ax.set_aspect(aspect='equal')plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15....
importmatplotlib.pyplotaspltimportnumpyasnp# 生成数据x=np.linspace(0,10,100)y=np.sin(x)# 创建图形和坐标轴fig,ax=plt.subplots()# 绘制数据ax.plot(x,y)# 设置纵横比为相等ax.set_aspect('equal',adjustable='datalim')# 添加标题和标签ax.set_title("Sine Wave with Equal Aspect Ratio")ax.set...
import matplotlib.pyplot as plt # 创建一个图形对象 fig, ax = plt.subplots() # 绘制图形 ax.plot([1, 2, 3, 4], [1, 4, 2, 3]) # 将纵横比设置为1 ax.set_aspect('equal') # 显示图形 plt.show() 在上述代码中,首先导入了Matplotlib库,并创建了一个图形对象fig和一个坐标轴对象ax。然后...
3,color="green",alpha=0.5)axes[3].set_title("fill_between"); Using Numpy In [17]: 代码语言:javascript 复制 x=np.linspace(0,2*np.pi,100)y=np.sin(x)plt.plot(x,y) Out[17]: 代码语言:javascript 复制 [<matplotlib.lines.Line2D at0x579aef0>] ...
(num_steps))# 用 Matplotlib 可视化fig=plt.figure()ax=fig.add_subplot(111,projection='3d')ax.plot(x,y,z,color='darkblue')ax.scatter(x,y,z,c=t,cmap='viridis')ax.set_xticks([]);ax.set_yticks([]);ax.set_zticks([])# 设置正交投影ax.set_proj_type('ortho')# 设置相机视角ax....
,#panel_grid_minor = element_line(colour = "grey",size=.25,linetype ="dotted" ),text=element_text(size=15),legend_position="none",aspect_ratio=1.15,figure_size=(5,5),dpi=100))print(base_plot) 2 条形图 条形图与柱形图类似,几乎可以表达相同多的数据信息。
'_setp', '_setup_pyplot_info_docstrings', '_show', 'acorr', 'angle_spectrum', 'annotate', 'arrow', 'autoscale', 'autumn', 'axes', 'axhline', 'axhspan', 'axis', 'axvline', 'axvspan', 'bar', 'barbs', 'barh', 'bone', 'box', 'boxplot', 'broken_barh', 'cbook',...
# Put image into container rectangle and use it to set proper coordinates to the image self.container = self.canvas.create_rectangle(0, 0, self.width, self.height, width=0) # Plot some optional random rectangles for the test purposes ...
from skimage.filters.rank import enhance_contrastdef plot_gray_image(ax, image, title): ax.imshow(image, vmin=0, vmax=255, cmap=pylab.cm.gray), ax.set_title(title), ax.axis('off') ax.set_adjustable('box-forced') ... 用中值滤波去除噪声 下面的代码块显示了如何使用 scikit 图像filters....