subplot

I am trying to split my plots in different subplots.. What I want to achieve is to put a colorbar for a subplot in a different subplot. Right now I am using: # first graph axes = plt.subplot2grid((4, 2), (0, 0), rowspan=3) pc = plt.pcolor(df1, cmap='jet') # second graph axes = plt.subplot2grid((4, 2), (3, 0)) plt.pcolor(df2, cmap='Greys') # colorbar plt.subplot2grid((4, 2), (0, 1), rowspan=3) plt.colorbar(pc) But the result is the following (notice the unwanted empty graph left to the colorbar): What can I do to print only the colorbar without the left plot? Thanks colorbar() accepts a cax

This question already has an answer here: MATLAB subplot margin 3 answers I am plotting two subplots (2x1) in one figure. I would like to remove all the spacing between two subplots and remove the xlable and xlabel ticks for the top subplot too. Also, I am trying to remove all the spacing outside the subplot. I try set(gca, 'LooseInset', get(gca,'TightInset')) But it doesn't work. Now I am removing those margins and labels manually, I have 60 figures need to be handled and doing all those manually is time consuming. Any better way to do it? Thanks. I also try the subtightplot, it helps to

I am making a group of subplot (say, 3 x 2) in matplotlib, but I have fewer than 6 datasets. How can I make the remaining subplot blank? The arrangement looks like this: +----+----+ | 0,0| 0,1| +----+----+ | 1,0| 1,1| +----+----+ | 2,0| 2,1| +----+----+ This may go on for several pages, but on the final page, there are, for example, 5 datasets to the 2,1 box will be empty. However, I have declared the figure as: cfig,ax = plt.subplots(3,2) So in the space for subplot 2,1 there is a default set of axes with ticks and labels. How can I programatically render that space blank and devoid of axes?

I hope I'm asking this question at the right place. I have a for-loop, in that many figures are created. After the loop is finished I want to produce one more figure with three of those earlier created plots as suplots. My code right now is like this: import numpy as np import matplotlib.pyplot as plt def f(t): return np.exp(-t)*np.cos(2*np.pi*t)+(t/10)**2. t1=np.arange(0.0,5.0,0.1) t2=np.arange(0.0,5.0,0.02) for i in range(2): fig= plt.figure(i) ax1=fig.add_subplot(111) plt.title('Jon Snow') kraft_plot,=ax1.plot(t1,np.sin(t1),color='purple') tyrion=ax1.axvline(2,color='darkgreen',ls='dashed')

I want to have several subplots, two of which showing frames from a video feed, and a third showing computed results as a bar graph. After creating a matplotlib figure, I create several subplot2grids, which I then update with FuncAnimation. The usual way I would create a bar graph (to be updated) is: fig = plt.figure() ax = plt.axes(xlim=(0, 9), ylim=(0, 100)) rects = plt.bar(res_x, res_y, color='b') def animate(args): ... ... for rect, yi in zip(rects, results): rect.set_height(yi*100) return rects anim = animation.FuncAnimation(fig, animate, frames=200, interval=20, blit=True) plt.show() I

I would please like suggestions for how to override the default matplotlib behaviour when plotting images as subplots, whereby the subplot sizes don't seem to match the figure size. I would like to set my figure size (e.g. to match the width of an A4 page) and have the subplots automatically stretch to fill the space available. In the following example, the code below gives a figure with a lot of white space between the panels: import numpy as np import matplotlib.pyplot as plt data=np.random.rand(10,4) #creating a wide figure with 2 subplots in 1 row fig,ax=plt.subplots(1,2, figsize=(9,3)) ax

I have a weird (and probably simple to solve) problem. I tried to plot (using panel) two plots: a1 = subplot(2,1,1, 'Parent', handles.cpd_plot, 'Position', [0.1, 0.4, 0.85, 0.45]); a2 = subplot(2,1,2, 'Parent', handles.cpd_plot, 'Position', [0.1, 0.1, 0.85, 0.15]); but after plotting a2, a1 disappears. I see that its some problem with position, when I lift up a1 a bit ( 'Position', [0.1, 0.5, 0.85, 0.45] ) its working (but it has to be >= 0.5). Where is the problem? Thanks! So it is probably happening because subplot deletes a plot when it is overlapping with the previous plot. I suspect that

I have a data frame like this: value identifier 2007-01-01 0.781611 55 2007-01-01 0.766152 56 2007-01-01 0.766152 57 2007-02-01 0.705615 55 2007-02-01 0.032134 56 2007-02-01 0.032134 57 2008-01-01 0.026512 55 2008-01-01 0.993124 56 2008-01-01 0.993124 57 2008-02-01 0.226420 55 2008-02-01 0.033860 56 2008-02-01 0.033860 57 So I do a groupby per identifier: df.groupby('identifier') And now I want to generate subplots in a grid, one plot per group. I tried both df.groupby('identifier').plot(subplots=True) or df.groupby('identifier').plot(subplots=False) and plt.subplots(3,3) df.groupby(