#todo:#plot something on the left side of suplot 2 → plt.plot (xx,yy, marker = ‘o’, color. At the far end of the axis my xmin is printed: Is it possible to do so ?.
By switching ascending=[true] to ascending=[false], the data can be organized in descending. There's a convenient way to do this through a subplots_adjust method: I started looking for the cause.
All what i need now is to manipulate the ylim of the truncated subplot (independently for the left and right y axes). Hi mat, so you have two points in the todo: I have an odd problem where i am specifying two horizontal points where i would like minor xticks and for some reason, the last point is being truncated. Is it possible to truncate axes in matplotlib?
View this message in context: On mon, may 20, 2013 at 8:29 pm, mat [via matplotlib] < [hidden email]> wrote: #todo:#plot something on the left side of suplot 2 → plt.plot (xx,yy, marker = ‘o’, color = ‘k’) does not work #change the y axis of suplot. By default, pandas uses the index to set the tick labels.
Dear community, i would like to truncate the x axis of a plot, as in the attached figure: Everything goes well except for the x axis, for some reason tickmarks from 0 up to 9 appear. So you have two points in the todo: Learn how to create various plots and charts using matplotlib in python.