我试图制作一个非常简单的动画,并用matplotlib保存它,但没有成功。例如,我想看到一些东西在振荡:这里是我能做的最好的 import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import matplotlib.animation as animation #Define x,y vectors and meshgrid with function u o...
plot_df = pd.DataFrame(data={"x":embedding[:,0], "y": embedding[:,1], "color":col, "marker": m }) plt.style.use("seaborn") plt.figure() ### Plot ### ax= sns.scatterplot(data=plot_df, x="x",y="y",style= "marker" , c= col, cmap='Spectral', s=5 ) ax.set(xla...
In[1]:importmatplotlibimportmatplotlib.pyplotasplt Now to create and display a simple chart, we’ll first use the.plot()method and pass in a few arrays of numbers for our values. For this example, we’ll plot the number of books read over the span of a few months. In[2]: plt.plot...
fname - a path where to save a plot. It can be without extension. For fname with the extension included the format will be automatically selected. Common extensions: .png, .pdf, .svg; dpi - a numeric value for dots per inch; it controls the size of the figure in pixels. You can ...
With Matplotlib, you can create all kinds of visualizations, such as bar plots, pie charts, radar plots, histograms, and scatter plots. Here are a few examples showing how to create some basic chart types: Line Plot plt.plot([1, 2, 3], label='Label 1') ...
It would be great if every plot produced from now on retains this styling, without having to write it all out in the code every time. (i.e. apply DRY principles). Moving the styling to rcParams The code block below contains rcParams that replicate all the styling and setup applied to ...
1. 绘制一个二维随机漫步的图形 直接上代码: %pylab inline nsteps = 1000 draws = np.random.randint(-1,2,size=(2,nsteps)) walks = draws.cumsum(1) plot(walks[0,:],walks[1,:]); Populating the interactive namespace from numpy and matplotlib 先生成 1000 个随机漫步方向,方向是从 {-1, ...
plot(x, np.cos(x), '--'); Figure 4-1. Basic plotting example Saving Figures to File One nice feature of Matplotlib is the ability to save figures in a wide variety of formats. You can save a figure using the savefig() command. For example, to save the previous figure as a PNG ...
len(datelist))] df["Regime"] = regime #plot command, save object in variable plt.plot(df...
当我在没有ani.save()的情况下运行此代码时,它将显示预期的动画(PDE的模拟)。但是,当我尝试用ani.save("temp.mp4")保存动画时,出现以下错误: line 45, in <module> ani.save("temp.mp4") File "C:\Python36\lib\site-packages\matplotlib\animation.py", line 1077, in save ...