# zoom-in / limit the view to different portions of the dataĪx2.set_xlim(380, 550) # most of the data
PYTHON PLOT SUBPLOT STACKEXCHANGE HOW TO
Does anyone know how to create axis breaks with subplots of different sizes? fig, (ax1, ax2) = plt.subplots(1, 2, sharey=True, figsize=(10,8), gridspec_kw=)įig.subplots_adjust(wspace=0.05) # adjust space between axes 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. I am still unable to get separate maps plotted, but from what I understand, subplots is the way I should approach this problem, so hopefully I am on the right track.I'm making a plot with an x-axis break // using different size subplots as described in this post.
PYTHON PLOT SUBPLOT STACKEXCHANGE CODE
I've also tried following multiple examples of code using subplots for different uses. network object in Python using networkx Understand how to make a network plot Understand how to create a subplot of only the largest component and why. I have tried to make several adjustments based on the documentation provided here: When I run the above code, all of my data plots on to one map. Mean6 = fig.contour(lons,lats,day6,levels=60,extend='both',transform=fcst_crs)įig1 = plt.contour(mean1, colors = 'black')įig2 = plt.contour(mean2, colors = 'black')įig3 = plt.contour(mean3, colors = 'black')įig4 = plt.contour(mean4, colors = 'black')įig5 = plt.contour(mean5, colors = 'black')įig6 = plt.contour(mean6, colors = 'black') Mean5 = fig.contour(lons,lats,day5,levels=60,extend='both',transform=fcst_crs) left space right space left space right I have tried different ways of the 3 numbers but the output doesnt show up correctly. What I want is to plot 4 graphs on a same image file with the following criteria. Mean4 = fig.contour(lons,lats,day4,levels=60,extend='both',transform=fcst_crs) I am having a hard time with putting in the parameters for the python subplot function. What can I change Also, I want to assign a color to each integer of the random array. I tried using ax and I do get the subplots but all the lines are plotted in the last subplot. Mean3 = fig.contour(lons,lats,da圓,levels=60,extend='both',transform=fcst_crs) I am plotting horizontal lines but I am getting all in the same plot.
Mean2 = fig.contour(lons,lats,day2,levels=60,extend='both',transform=fcst_crs) Mean1 = fig.contour(lons,lats,day1,levels=60,extend='both',transform=fcst_crs) #take mean of 500mb heights for the first 24 hoursĪx0 = plt.axes(projection=ccrs.PlateCarree())Īx0.set_extent(,ccrs.PlateCarree())Īx0.set_title('Mean 500mb Heights (dam)', fontsize=12) import matplotlib.pyplot as pltįrom import LongitudeFormatter, LatitudeFormatterįrom cartopy.util import add_cyclic_point There are two ways to correct the problem: the first solution would be to re-write your function to use the object-oriented API of matplotlib (this is the solution that I recommend, although it requires more work) code: def plottrace (param, axs, paramname'parameter', kwargs): '''Plot the trace and posterior of a parameter.'''. I am struggling with subplots to figure out how to do this. Here is what it looks like: import time from matplotlib import pyplot as plt import numpy as np def liveplot (): loops100 n 7 p 30 fig, axes plt.subplots (ncolsn, nrowsn) () handles axes np.array (axes) for ax in axes.reshape (-1): ax.axis ('off') handles.append (ax.imshow (np.random.rand (p,p), interpolation. I am trying to plot separate maps for six different time steps of my data set. However, I now want to add the two smaller plots to the right-hand side of my main plot with each individual set of data.
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