![]() ![]() ![]() However, when I set the subplots to be different sizes, the diagonal axes break symbols '/' no longer have the same angle, creating an odd visual effect. fig, axes plt.subplots (len (colpatterns), 1) for pat, ax in zip (colpatterns, axes): ax.plot (x, df pat) 2x1 subplot (what you have right now) I use enumerate () with colpatterns to iterate through the subplot rows, and then use enumerate () with each column name in. I'm making a plot with an x-axis break // using different size subplots as described in this post. Pdf.savefig(bbox_inches=extent.expanded(1.1, 1. The following is a simplified example of what your code ends up doing. import matplotlib.pyplot as pltįrom _pdf import PdfPages This will save each subplot from the figure as a different page in a single pdf. What can I change Also, I want to assign a color to each integer of the random array. fig.updatelayout (xaxis1dict (rangesliderdict (visibleFalse)), xaxis2dict (rangesliderdict (visible. I don't have time to deal with this right now, but there is also a way to update the output content in a loop process. My answer was to do all the subplots manually. I tried using ax and I do get the subplots but all the lines are plotted in the last subplot. You need to hide the slider on the x-axis unit created in the subplot. If you want to save EACH plot individually, say as 4 different pages in a pdf, you can do the following adapted from this answer: I am plotting horizontal lines but I am getting all in the same plot. # Getting only the axes specified by axĮxtent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())įig.savefig('ax2_figure.pdf', bbox_inches=extent.expanded(1.1, 1.2))ĮDIT: I believe I may have misunderstood what you want. # I am not using jupyter notebook, so I use this to show it instead of %inline import matplotlib.pyplot as pltĪx1.We can do the following to save a SINGLE subplot from the overall figure: import matplotlib.pyplot as pltĪx.plot(x,x**2) # This is just to make an actual plot. If the data was plotted using ax.scatter, then you need to change things just a little bit and I refer you here for instructions on how to extract data from a scatter. ![]() Note that this works for Line2D objects plotted via ax.plot. import matplotlib.pyplot as plt import time import cartopy. ![]() The best recommendation I can make is extract the data from the axes you want to copy, and manually plot that into a new axes object that is sized to your liking. I am trying to plot separate maps for six different time steps of my data set. plotnumber starts at 1, increments across rows first and has a maximum of nrows ncols. You are probably trying to re-use an artist in more than one Axes which is not supported Where nrows and ncols are used to notionally split the figure into nrows ncols sub-axes, and plotnumber is used to identify the particular subplot that this function is to create within the notional grid. >RuntimeError: Can not put single artist in more than one figure`Īnd attempting to add a line that was drawn in ax1 to a second axes ax2 on the same figure raises an error: fig1 = plt.figure() This discussion on Github may explain it to some degree.įor example, attempting to add a line from an axes defined on fig1 to an axes on a different figure fig2 raises an error: import matplotlib.pyplot as plt In fact, no artist (line, text, legend) defined in one axes may be added to another axes. I can't find anything in official documentation to back up what I'm saying, but my understanding is that it is impossible to "clone" an existing axes onto a new figure. ![]()
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