![]() ![]() A frequently asked question is how to have multiple plots in one graph? We have given so far lots of examples for plotting graphs in the previous chapters of our Python tutorial on Matplotlib. Estimation of Corona cases with Python and Pandas.Net Income Method Example with Numpy, Matplotlib and Scipy.Expenses and income example with Pandas and Python.Accessing and Changing values of DataFrames.Creating Videos from One or More Images.Image Processing Techniques with Python and Matplotlib.Image Processing in Python with Matplotlib.Adding Legends and Annotations in Matplotlib.Reading and Writing Data Files: ndarrays.Matrix Arithmetics under NumPy and Python.Numpy Arrays: Concatenating, Flattening and Adding Dimensions.Instructor-led training courses by Bernd Klein There is probably a general solution that takes padding between figures into account.Live Python classes by highly experienced instructors: Throws an exception when the height of the top part is 0. The formula does not take space between the parts into account. The horizontal distance to the plot is based on the top part, the bottom ticks might extend into the label. Mid = 0.5-somePlot.get_height_ratios()/(2.*somePlot.get_height_ratios()) # Simplified to 0.5 - height(bottom)/(2*height(top)) # The center is (height(top)-height(bottom))/(2*height(top)) Plt.setp(partA.get_xticklabels(), visible=False) Subplot_spec=outerGrid, height_ratios=, hspace = 0) SomePlot = gridspec.GridSpecFromSubplotSpec(2, 1, OuterGrid = gridspec.GridSpec(2, 3, width_ratios=, height_ratios=) ![]() ![]() As the padding between the parts (hspace) in my code was zero, I could calculate the middle of the two parts relative to the upper part. It is usually 0.5, the middle of the plot it is added to. I did not want to use a solution that depends on knowing the position in the outer figure (like fig.text()), so I manipulated the y-position of the set_ylabel() function. The y-label was supposed to be centered over both parts. The graphs consisted of two parts (top and bottom). I ran into a similar problem while plotting a grid of graphs. I'm guessing this is because when the label is finally drawn, matplotlib uses 0.5 for the y-coordinate without checking whether the underlying coordinate transform has changed. Notably, if you omit the set_position call, the ylabel will show up exactly halfway up the figure. and you should see that the label still appropriately adjusts left-right to keep from overlapping with labels, just like normal, but will also position itself exactly between the desired subplots. Transform = mtransforms.blended_transform_factory(mtransforms.IdentityTransform(), fig.transFigure) # specify x, y transformĪxs._transform(transform) # changed from default blend (IdentityTransform(), axs.transAxes)Īxs._position((0, avepos)) Import ansforms as mtransformsįig, axs = plt.subplots(nrows=2, ncols=1, bottom=bottom, top=top) If you know the bottom and top kwargs that went into a GridSpec initialization, or you otherwise know the edges positions of your axes in Figure coordinates, you can also specify the ylabel position in Figure coordinates with some fancy "transform" magic.įor example: import matplotlib.pyplot as plt By default, when you make figures, the labels are "shared" between subplots. This feature is now part of the proplot matplotlib package that I recently released on pypi. ![]()
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