image : `~matplotlib.image.AxesImage` Other Parameters --- **kwargs : `~matplotlib.artist.Artist` properties These parameters are passed on to the constructor of the `.AxesImage` artist. See also --- matshow : Plot a matrix or an array as an image. **X:** 图像数据。支持的数组形状...
importmatplotlib.pyplotaspltimportnumpyasnpx=np.linspace(-3,3,50)y=2*x+1plt.figure(num=1,figsize=(8,5))plt.plot(x,y)ax=plt.gca()ax.spines['right'].set_color('none')ax.spines['top'].set_color('none')#将底下的作为x轴ax.xaxis.set_ticks_position('bottom')#并且data,以y轴的数...
prng, size=(20, 20)): """Plot an image with random values and superimpose a circular patch. """ values = prng.random_sample(size=size) ax.imshow(values, interpolation='none') c = plt.Circle((5, 5),
plt.plot(x1,y1,x2,y2,color="white",linewidth=3) plt.axis('off') plt.imshow(data) plt.show() 输出: 注:本文由VeryToolz翻译自Plot a Point or a Line on an Image with Matplotlib,非经特殊声明,文中代码和图片版权归原作者hg070401所有,本译文的传播和使用请遵循“署名-相同方式共享 4.0 国际 ...
2. Save plot to image file instead of displaying it using Matplotlib Matplotlib 保存为图片 Homunculus Reticulliasked: 我正在写一个简单的脚本来生成 plot,最开始的代码如下(来自Matplotlib文档): from pylab import figure, axes, pie, title, show ...
plt.plot(x,y) plt.show() y = 2x图像 注意: 1.如果不使用plo.show()图表是显示不出来的,因为可能你要对图表进行多种的描述,所以通过显式的调用show()可以避免不必要的错误。 3.Figure对象 我这里单拿出一个一个的对象,然后后面在进行总结。在matplotlib中,整个图表为一个figure对象。其实对于每一个弹出的...
grid(False) # Legend for the plot. plt.legend() # Saving the figure on disk. 'dpi' and 'quality' can be adjusted according to the required image quality. plt.savefig('Line_plot.jpeg', dpi = 400, quality = 100) # Displays the plot. plt.show() # Clears the current figure contents...
plot()函数画出一系列的点,并且用线将它们连接起来。看下例子: x = np.linspace(0, np.pi) y_sin = np.sin(x) y_cos = np.cos(x) ax1.plot(x, y_sin) ax2.plot(x, y_sin, 'go--', linewidth=2, markersize=12) ax3.plot(x, y_cos, color='red', marker='+', linestyle='dashed...
Matplotlib image saving is a widely used technique to save plots as images. Once the plot is created, the main task is to save this plot as an image. You can use two methods/approaches for saving a plot as an image using Matplotlib. They are:Using matplotlib savefig() function Plot to...
plot(X,C) plot(X,S) show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 默认配置的具体内容 下面的代码中,我们展现了 matplotlib 的默认配置并辅以注释说明,这部分配置包含了有关绘图样式的所有配置。代码中的配置与默认配置完全相同,你可以在交互模式中修改其中的值来观察效果。