Also, the right hand axes spans the whole two subplots, rather than just the central matrix.
#SUBPLOT FIGSIZE CODE#
The edited code is below num_bins = mat_store.shapeĬax = divider.new_vertical(size="5%", pad=0.7, pack_start=True)įig.colorbar(hist,cax = cax,orientation="horizontal")īut as you can see, the main axs is still shrunk, though at least the colorbar is now in line with it. To create multiple plots we use the subplot function of pyplot module in Matplotlib. In Matplotlib we can create multiple plots by calling them once. Making the axis locateable does part of the trick. Matplotlib is the most popular Python library for plotting graphs and visualizing our data. Why does adding this third row change the width of the central axs? And why does it not modify the top row? How can I fix this such that edges of all the subplots are well aligned?
#SUBPLOT FIGSIZE HOW TO#
Moving the axis labels (vertical too, for consistency) would also work, but I don't know how to do that either. I would like to move the colorbar down, so it doesn't occlude the axis label, without also moving the top bar-plot up, so simply modifying the hspace parameter in add_gridspec isn't appropriate here.Hist = ax.imshow(mat_store,origin="lower",cmap="seismic",vmin=-max_value,vmax=max_value)Īx.set_title(r"$\langle \ \rangle$")Īx.plot(,color="white",ls="-",lw=2)Īx.axvline((num_bins-1)/2,color="white",ls="-",lw=2)Īx.axhline((num_bins-1)/2,color="white",ls="-",lw=2)įig.colorbar(hist,cax = col_ax,orientation="horizontal")Īs you can see, there are a couple of issues. Labelbottom=False) # labels along the bottom edge are off Top=False, # ticks along the top edge are off Which='both', # both major and minor ticks are affectedīottom=False, # ticks along the bottom edge are off Pre_trial_dependence = jnp.sum(abs_serial,axis=1)Īx_histx.bar(np.arange(num_bins)-0.5, cur_trial_dependence, align="edge",color='k',linewidth=0,width = 1)Īx_histy.barh(np.arange(num_bins)-0.5, pre_trial_dependence, height = 1, align="edge",color='k',linewidth=0,alpha=0.25) Left=0.1, right=0.9, bottom=0.1, top=0.9,Īx_histx = fig.add_subplot(gs, sharex=ax)Īx_histy = fig.add_subplot(gs, sharey=ax)Īx_histx.tick_params(axis="x", labelbottom=False)Īx_histy.tick_params(axis="y", labelleft=False)Ĭur_trial_dependence = jnp.sum(abs_serial,axis=0) I would also like to display the colorbar of the matrix at the bottom of the figure. Quantities are in fractions of figure width and height.In the following code, a variable mat_store is displayed in the central axis, and then bar graphs of the collapsed (across each axis of the matrix) are shown on the top and side of the matrix. Whether the added artist should be clipped by the figure patch.Īdd_axes ( self, * args, ** kwargs ) ¶Īdd_axes ( rect, projection = None, polar = False, ** kwargs ) add_axes ( ax ) Parameters: Transform previously set, its transform will be set toįansFigure. This method can be used in the rare cases where one needs to addĪrtists directly to the figure instead. Usually artists are added to axes objects using Axes.add_artist add_artist ( self, artist, clip = False ) ¶ _setstate_ ( self, state ) ¶ _str_ ( self ) ¶ _module_ = 'matplotlib.figure' ¶ _repr_ ( self ) ¶ _getstate_ ( self ) ¶ _init_ ( self, figsize = None, dpi = None, facecolor = None, edgecolor = None, linewidth = 0.0, frameon = None, subplotpars = None, tight_layout = None, constrained_layout = None ) ¶ Parameters: Like tight_layout, but designed to be moreįor examples. If True use constrained layout to adjust positioning of plotĮlements. constrained_layout bool, default: rcParams (default: False) H_pad, and rect, the default tight_layout paddings When providing a dict containing the keys pad, w_pad, Parameters using tight_layout with default padding.
tight_layout bool or dict, default: rcParams (default: False)
If False, suppress drawing the figure background patch. frameon bool, default: rcParams (default: True) edgecolor default: rcParams (default: 'white') facecolor default: rcParams (default: 'white') dpi float, default: rcParams (default: 100.0)ĭots per inch. SuppressComposite is a boolean, this will override the renderer.įigsize 2-tuple of floats, default: rcParams (default: )įigure dimension (width, height) in inches. suppressCompositeįor multiple figure images, the figure will make composite imagesĭepending on the renderer option_image_nocomposite function. The Rectangle instance representing the figure background patch. The events you can connect toĪre 'dpi_changed', and the callback will be called with func(fig) where The Figure instance supports callbacks through a callbacks attribute The top level container for all the plot elements. Figure ( figsize = None, dpi = None, facecolor = None, edgecolor = None, linewidth = 0.0, frameon = None, subplotpars = None, tight_layout = None, constrained_layout = None ) ¶
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