ax.set_xlim(min(x1,x2),max(x1,x2))ax.set_ylim(min(y1,y2),max(y1,y2))fig.canvas.draw()fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3])ax.set_title('Drag to zoom - how2matplotlib.com')rs=RectangleSelector(ax,on_
The MP4 version requiresFFmpegto be installed on your system. Custom Camera Path (Using interpolation) Let’s create a more complex camera path that combines changes in elevation, azimuth, and zoom: from scipy.interpolate import interp1d def custom_camera_path(frame): elev = elev_interp(frame)...
Expected or desired behavior: Ideally, the plot window should zoom out (or similar) to ensure that it fits all the elements of the matplotlib figure. Hi! Thanks for using Positron. I am not 100% sure if this is an issue with Positron or perhaps just an issue with usage. Could you try...
[4],alpha=0.8,linewidth=1) 18 19 # zoom-in / limit the view to different portions of the data 20 ax.set_ylim(580, 620) # outliers only 21 ax2.set_ylim(215, 365) # most of the data 22 23 # hide the spines between ax and ax2 24 ax.spines['bottom'].set_visible(False) 25...
(ax) for the outliers, and the bottom # (ax2) for the details of the majority of our data f, (ax, ax2) = plt.subplots(2, 1, sharex=True) # plot the same data on both axes ax.plot(pts) ax2.plot(pts) # zoom-in / limit the view to different portions of the data ax....
x = np.r_[0:1:0.1, 9:10:0.1] y = np.sin(x) fig,(ax,ax2) = plt.subplots(1, 2, sharey=True) # plot the same data on both axes ax.plot(x, y, 'bo') ax2.plot(x, y, 'bo') # zoom-in / limit the view to different portions of the data ax.set_xlim(0,1) # ...
enablingthecreationofabusinessstoryline.Inadditiontothis,you'lllearnhowtosavefiguresandanimationsinvariousformatsfordownstreamdeployment,followedbyextendingthefunctionalityofferedbyvariousinternalandthird-partytoolkits,suchasaxisartist,axes_grid,Cartopy,andSeaborn.Bytheendofthisbook,you'llbeabletocreatehigh-quality...
# zoom-in / limit the view to different portions of the data ax.set_ylim(.78, 1.) # outliers only ax2.set_ylim(0, .22) # most of the data # hide the spines between ax and ax2 ax.spines['bottom'].set_visible(False)
button == 'up': # deal with zoom in scale_factor = 1/base_scale elif event.button == 'down': # deal with zoom out scale_factor = base_scale else: # deal with something that should never happen scale_factor = 1 print(event.button) # set new limits axs.set_xlim([xdata - cur_...
Adjust the figure elements so that they expand/contract to be at the edge of the figure. This is accomplished withtight_layoutorconstrained_layout Use bbox='tight' and zoom the size of the figure in an external editor. However, that won't preserve aspect ratio. ...