x=np.linspace(0,10,10)y=np.sin(x)yerr=0.1+0.2*np.random.rand(len(x))plt.figure(figsize=(10,6))plt.errorbar(x,y,yerr=yerr,fmt='none',label='Data from how2matplotlib.com')plt.title('Errorbar Plot without Connecting Lines')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()...
plt.plot(xpoints, ypoints) plt.show() Result: Try it Yourself » The x-axis is the horizontal axis. The y-axis is the vertical axis.Plotting Without LineTo plot only the markers, you can use shortcut string notation parameter 'o', which means 'rings'.Example...
2,3) plt.plot(sz_df['最高价'],'r-',label=u'深证成指最高价',lw=2.0)#红色实线，线宽...
5. 绘制删除异常值后的折线图 删除了超出范围的异常值后,我们再次使用matplotlib.pyplot的plot函数绘制折线图。 plt.plot(data)plt.xlabel('X')plt.ylabel('Y')plt.title('Line Plot without Outliers')plt.show() 1. 2. 3. 4. 5. 绘制出的删除异常值后的折线图如下所示: 可以看到,删除了超出范围的异...
ax.boxplot(y_data # patch_artist must be True to control box fill , patch_artist = True # Properties of median line , medianprops = {'color': median_color} # Properties of box , boxprops = {'color': base_color, 'facecolor': base_color} ...
The following format string characters are accepted to control the line style or marker: The following color abbreviations are supported: REF good demos https://matplotlib.org/2.1.1/api/_as_gen/matplotlib.pyplot.plot.html All possible markers are defined here: ...
plt.plot(x, np.sin(x -4), color=(1.0,0.2,0.3))# RGB元组的颜色值,每个值介于0-1 plt.plot(x, np.sin(x -5), color='chartreuse');# 能支持所有HTML颜色名称值 如果没有指定颜色,Matplotlib 会在一组默认颜色值中循环使用来绘制每一条线条。
plt.plot(x,y) plt.xticks(x) plt.yticks(y) plt.show() 综上,可以设计一个x轴为月份,y为星期的图像: importnumpyasnpimportmatplotlib.pyplotaspltimportcalendarfromdatetimeimport* x =range(1,13,1) y =range(1,13,1) plt.plot(x,y)
该文档显示它的默认值为2,但由于这两个函数save()和show()都是包含于plot()函数中的参数,明确指出是作用于线条(line)。 将list_plot()的参数plotjoined改为True 当加入参数legend_numpoints,使legend_numpoints=1: a=range(10) b=range(10) ...
return gca().plot( File "/home/somesh/.local/lib/python3.8/site-packages/matplotlib/axes/_axes.py", line 1745, in plot self.add_line(line) File "/home/somesh/.local/lib/python3.8/site-packages/matplotlib/axes/_base.py", line 1964, in add_line ...