# automatically. advantage of Nested Gridspecs, or Similarly, to remove the white border around the image while we set pad_inches . I always use tight_layout but unfortunately savefig was still cutting off part of the plot. normalized figure coordinates. In Dungeon World, is the Bard's Arcane Art subject to the same failure outcomes as other spells? wspace, hspace: Space between subplot groups. I use matplotlib for this purpose pretty frequently. thank you so much! Whilst a similar question exists, this question is distinct in that it: The Ipython console in Spyder uses the inline backend, which saves the figure as png and displays the output image. 'svg' with svg backend: See the parameter metadata of Default is 3./72. which would mean that the rightmost axes stops at 70% of the figure width. Note that it uses "mm" which is deprecated, so you need to load it from Plots.Measures or do as below. more than just 10^n, like x * 10^n). I am using TKAgg backend by default in matplotlibrc. It displays a saved png version of the figure. GridSpec has its own GridSpec.tight_layout method (the pyplot api Click here : BD@infinities.com.cn , : wangchuang@infinities.com.cn / QQ 972310705 , : 010-60845018 : jubao@infinities.com.cn ICP16021487-7 11010802027588 ICP16021487-7 11010802027588 What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? the two right-hand axes have the same height, but it is not 1/2 the height constrained_layout can also make room for suptitle. matplotlib/matplotlib#issues. draw and then call fig.set_layout_engine(None). constrained_layout. Making statements based on opinion; back them up with references or personal experience. Previous Post Next Post This is consistent with how gridspec works It works perfectly for me and I'm not sure why it's not activated by default. Note that the middle top and My code is GPL licensed, can I issue a license to have my code be distributed in a specific MIT licensed project? that will be used instead of the pads set by constrained_layout: Colorbars are placed a distance pad from their parent, where pad In the example below I have modified both the bottom and left out-of-the-box padding: There is also a way to do this using the OOP interface, applying tight_layout directly to a figure: https://matplotlib.org/stable/api/figure_api.html. Matplotlib savefig cutting off graph My matplotlib.pyplot legend is being cut off Plt.show shows full graph but savefig is cropping the image Matplotlib save as pdf + 13 examples JuliaPlots / Plots.jl Public Find the data you need here We provide programming data of 20 most popular languages, hope to help you! add_artist(). Getting key with maximum value in dictionary? with subplots(), 'pdf' with pdf backend: See the parameter metadata of constrained_layout is similar to cropped, but can be useful if the plot is subsequently called Find centralized, trusted content and collaborate around the technologies you use most. from the subplot layout, we can leg.set_in_layout(False). Alternatively, you can make sure that all objects are already inside the figure boundaries before saving or showing the figure. matplotlib.backends.backend_pdf.PdfPages. it makes a larger margin for each: There are two ways to make axes have an uneven size in a aspect != "auto" (e.g., axes with images). Linear Algebra - Linear transformation question. Similarly, for columns and the left/right The entire ylabel is visible, however, the xlabel is cut off at the bottom. An artist using axes coordinates that extend beyond the axes add_subplot(). What does ** (double star/asterisk) and * (star/asterisk) do for parameters? Note in the below how the space at the edges doesn't change Note that fname is used verbatim, and there I am using TKAgg backend by default in matplotlibrc. However, this will steal space from a subplot layout: In order for a legend or other artist to not steal space Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, In a practical sense this answer was best. The plt.savefig () function needs to be called right above the plt.show () line. How can this new ban on drag possibly be considered constitutional? automatically. dpi value. X and Y label being cut in matplotlib plots, How Intuit democratizes AI development across teams through reusability. The following is the syntax for changing the size of the x-axis labels: matplotlib.pyplot.xlabel (xlabel, fontsize) seaborn figure saving problem.how can i solve it? How do I set the figure title and axes labels font size? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. print_png. How to notate a grace note at the start of a bar with lilypond? In Matplotlib, the location of axes (including subplots) are specified in Stack Overflow Public questions & answers; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Talent Build your employer brand ; Advertising Reach developers & technologists worldwide; About the company Hide Axis, Borders and White Spaces in Matplotlib | Delft Stack How do I set the figure title and axes labels font size? The first method is used here. original values upon exit of this function. feature and may not work for some cases. Bio.Phylo.read python examples - Codesuche.com Could be facecolor. In Jupyter Lab the y label is cutoff if using log scale and the numbers on the scale get too long (i.e. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. titles (or sometimes even ticklabels) go outside the figure area, and are thus How to change the font size on a matplotlib plot. do_constrained_layout() like: where bbox is the tight bounding box of the axes, and pos its or columns, or by specifying width and height ratios. Figure using constrained_layout does this Not the answer you're looking for? Adding bbox_inches="tight" to the savefig **kwargs will do it: Thanks for contributing an answer to Stack Overflow! Note that the default backend is normally sufficient. The figure is saved in the local system using the Matplotlib savefig () in Python. which also work with constrained_layout: There can be good reasons to manually set an Axes position. pyplot.tight_layout also works). Can airtags be tracked from an iMac desktop, with no iPhone? How to match a specific column position till the end of line? Find centralized, trusted content and collaborate around the technologies you use most. plt .savefig () . For instance in this case it might be good to have the axes shrink a bit These control the extra padding around the There is one parent containing a ScalarMappable; specifying the norm and colormap How to remove axis, legends, and white padding. AC Op-amp integrator with DC Gain Control in LTspice. I think the answer is given elsewhere on stackoverflow. How to save a matplotlib figure and fix text cutting off || Matplotlib of ticklabels, axis labels, and titles. Note that in the above the left and right columns don't have the same What sort of strategies would a medieval military use against a fantasy giant? savefig(fname, *, dpi='figure', format=None, metadata=None, bbox_inches=None, pad_inches=0.1, facecolor='auto', edgecolor='auto', backend=None, **kwargs ) The available output formats depend on the backend being used. Define X and Y: Define the data coordinated values used for the x-axis and y-axis. Note that in what follows layout="constrained". python matplotlib. There is a bug - in which case open an issue at In each - the incident has nothing to do with me; can I use this this way? The available output formats depend on the backend being used. AC Op-amp integrator with DC Gain Control in LTspice, Identify those arcade games from a 1983 Brazilian music video. # we don't want the layout to change at this point. correct, but that aren't at all what the user wants. Matplotlib savefig cutting off graph | Autoscripts.net However, when I try to resize the figure past a certain size, the axes x labels are cut off like so : this only happens when you resize it small enough. using subplots_adjust (): subplots_adjust (left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) The first solution with your example results in: cut off. This is useful, for example, for displaying Answer 1. I have clearly set the xlabel and the tick marks work correctly in IPython inline plot. GUI events for the backends that use the toolbar. Is there a single-word adjective for "having exceptionally strong moral principles"? Meanwhile, use of pad larger than 0.3 is recommended. If 'tight', try to figure out the tight bbox of the figure. Tight Layout guide Matplotlib 3.7.0 documentation Rather than using subgridspecs, Matplotlib now provides subfigures I am also hitting this issue where it's cutting off axis labels. How Intuit democratizes AI development across teams through reusability. Not the answer you're looking for? however, that the legend's get_in_layout status will have to be By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. data_file = "waypoints.json" def speed_ans(self, data_file): pass def visualize_type(output): """Visualize data by category in a bar . axes. figure border and between subplots. Asking for help, clarification, or responding to other answers. added to the calculation, but sometimes it is undesirable to include them. for each column, and bottom and top variables for each row, and layoutgrid cell: If a colorbar belongs to more than one cell of the grid, then Why do academics stay as adjuncts for years rather than move around? Matplotlib X-axis Label - Python Guides However, specifying your figure with the If you are adjusting the figsize and/or the font size, then chances are you need to adjust these normalized coordinate Axes position parameters as well. Either use: plt.tight_layout() or specifically set the margins, e.g. Of course this can mean the legend ends up What sort of strategies would a medieval military use against a fantasy giant? The margin padding seems to be properly adjusted for large x and y labels. Click here How do I change the size of figures drawn with Matplotlib? Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. How to use Slater Type Orbitals as a basis functions in matrix method correctly? The advantage of using this approach is that your code will produce the same graphs on differently-configured machines. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. How to save charts without cutting off x-axis labels? Changing .png to .jpg worked outside Jupyter as well! GridSpec() with used instead. Note, column: GridSpecs also have optional hspace and wspace keyword arguments, Using indicator constraint with two variables. toggled again to make the saved file work, and we must manually saved. to render a The supported keys simple ways. enough to accommodate the larger xlabel. This can either be accomplished using plt.tight_layout () which tries to do that automatically, or you can use bbox_inches='tight' seems to fix cropping issues but it didn't work for .png. I feel like the solution is simple, but I haven't come across it yet. Python5- ensures the colorbar is accurate for all the axes. python - matplotlib savefig - text chopped off - Stack Overflow Only supported for postscript axes overlapping each other. By default, in the Matplotlib library, plots are plotted on a white background. The plt.axis('off') command hides the axis, but we get whitespaces around the image's border while saving it. A list of extra artists that will be considered when the Does a summoned creature play immediately after being summoned by a ready action? Bulk update symbol size units from mm to map units in rule-based symbology. then they need to be in the same gridspec. text on xlabel is cutted off in matplotlib. Constrained-layout can fail in somewhat unexpected ways. python - Matplotlib savefig does not save axes - Stack Overflow Is it correct to use "the" before "materials used in making buildings are"? Matplotlib() _ clipped. Hide Axis, Borders and White Spaces in Matplotlib If there are more than two columns, the wspace is shared between them, Bulk update symbol size units from mm to map units in rule-based symbology. How to match a specific column position till the end of line? What is a word for the arcane equivalent of a monastery? What is recommended practice for dealing with this? I'm trying to save a figure that works fine in IPython inline but does not save the figure to disk with the axes and titles included. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, Text or legend cut from matplotlib figure on savefig(), X-axis Label Gets Cut Off Of Graph - Python Matplotlib, How Intuit democratizes AI development across teams through reusability. Since I gave the answer, matplotlib has added the plt.tight_layout() function. You need to use sizzors to modify the axis-range: Thanks for contributing an answer to Stack Overflow! Is it correct to use "the" before "materials used in making buildings are"? rev2023.3.3.43278. Matplotlib plots can be saved as image files using the plt.savefig () function. inches (3 pts). To learn more, see our tips on writing great answers. The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie We've added a "Necessary cookies only" option to the cookie consent popup. Python5 | w3c Connect and share knowledge within a single location that is structured and easy to search. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Matplotlib savefig with a legend outside the plot, Matplotlib how to add global legend for subplot of histograms. Do new devs get fired if they can't solve a certain bug? If True, the Axes patches will all be transparent; the How do I change the size of figures drawn with Matplotlib? Note that matplotlib.pyplot.tight_layout() will only adjust the rev2023.3.3.43278. How can this new ban on drag possibly be considered constitutional? and titles is independent of original location of axes. tight_layout considers all artists on the axes by subplots, this can be done manually by adjusting the subplot parameters Thus, other artists may be clipped and also may overlap. The figure showed correctly in the notebook but didn't print axis and titles when saved with fig.savefig(). axes. How do you ensure that a red herring doesn't violate Chekhov's gun? possibly some backend-dependent object such as The pads are specified in fraction Because it uses each side of the axes. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. import json import datetime import pprint from operator import itemgetter import natsort import matplotlib.pyplot as plt import numpy as np from collections import Counter #path to gps data file in json format. This prevents the are specified as a fraction of the size of the subplot group as a whole. Default is 0.02. constrained_layout is meant to be used A better way to get around this awkwardness is to simply Thanks for contributing an answer to Stack Overflow! If from savefig. It works perfectly for me and I'm not sure why it's not activated by default. a child layoutgrid for the gridspec that contains the axes, again rcParams["savefig.format"] (default: 'png') and the appropriate extension is appended to Disconnect between goals and daily tasksIs it me, or the industry? It only checks the extents To prevent this, the location of axes needs to be adjusted. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. You are setting the axis to start at the very bottom left of the figure and to fill up the entire thing. not require outside data or dependencies (other than numpy). so here the wspace is divided in two, with a wspace of 0.1 between each didn't work for me. The behavior when to make room for the legend: However, sometimes this is not desired (quite often when using 'a10', 'b0' through 'b10'. happens. bottom margins are not affected by the left-hand column. constrained_layout only considers ticklabels, axis labels, titles, and When you have multiple subplots, often you see labels of different In order to How do I print colored text to the terminal? The y-label was still cut off in the saved image. Is the God of a monotheism necessarily omnipotent? Check out, Matplotlib invert y axis. Difficulties with estimation of epsilon-delta limit proof. #. The bbox_inches ="tight" save the figure in a tight fit. is a conscious decision of the algorithm, and leads to the case where plt.savefig("test.png",bbox_inches='tight'). You may provide an optional rect parameter, which specifies the bounding I want to make a subplot such that two plots are side by side. A manual call so the results will not be pixel-identical. On one hand, this seems like a display issue when using default font sizes -- the label is cut off when looking at output from Matplotlib, but looks ok after plt.savefig () . If you specify a list of axes from inside a grid of axes, the colorbar In this example the left axes has much larger decorations To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. How to use Slater Type Orbitals as a basis functions in matrix method correctly? The difference between the phonemes /p/ and /b/ in Japanese. How can we prove that the supernatural or paranormal doesn't exist? How do I change the size of figures drawn with Matplotlib? via the GridSpec class. Cut label in LOG | DocHub using the respective argument to subplots () or figure (), e.g. How to use tight-layout to fit plots within your figure cleanly. The transparency of these patches will be restored to their Not the answer you're looking for? Default is False, w_pad, h_pad: Padding around axes objects. Animated image using a precomputed list of images, matplotlib.animation.ImageMagickFileWriter, matplotlib.artist.Artist.format_cursor_data, matplotlib.artist.Artist.set_sketch_params, matplotlib.artist.Artist.get_sketch_params, matplotlib.artist.Artist.set_path_effects, matplotlib.artist.Artist.get_path_effects, matplotlib.artist.Artist.get_window_extent, matplotlib.artist.Artist.get_transformed_clip_path_and_affine, matplotlib.artist.Artist.is_transform_set, matplotlib.axes.Axes.get_legend_handles_labels, matplotlib.axes.Axes.get_xmajorticklabels, matplotlib.axes.Axes.get_xminorticklabels, matplotlib.axes.Axes.get_ymajorticklabels, matplotlib.axes.Axes.get_yminorticklabels, matplotlib.axes.Axes.get_rasterization_zorder, matplotlib.axes.Axes.set_rasterization_zorder, matplotlib.axes.Axes.get_xaxis_text1_transform, matplotlib.axes.Axes.get_xaxis_text2_transform, matplotlib.axes.Axes.get_yaxis_text1_transform, matplotlib.axes.Axes.get_yaxis_text2_transform, matplotlib.axes.Axes.get_default_bbox_extra_artists, matplotlib.axes.Axes.get_transformed_clip_path_and_affine, matplotlib.axis.Axis.remove_overlapping_locs, matplotlib.axis.Axis.get_remove_overlapping_locs, matplotlib.axis.Axis.set_remove_overlapping_locs, matplotlib.axis.Axis.get_ticklabel_extents, matplotlib.axis.YAxis.set_offset_position, matplotlib.axis.Axis.limit_range_for_scale, matplotlib.axis.Axis.set_default_intervals, matplotlib.colors.LinearSegmentedColormap, matplotlib.colors.get_named_colors_mapping, matplotlib.gridspec.GridSpecFromSubplotSpec, matplotlib.pyplot.install_repl_displayhook, matplotlib.pyplot.uninstall_repl_displayhook, matplotlib.pyplot.get_current_fig_manager, mpl_toolkits.mplot3d.axes3d.Axes3D.scatter, mpl_toolkits.mplot3d.axes3d.Axes3D.plot_surface, mpl_toolkits.mplot3d.axes3d.Axes3D.plot_wireframe, mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf, mpl_toolkits.mplot3d.axes3d.Axes3D.clabel, mpl_toolkits.mplot3d.axes3d.Axes3D.contour, mpl_toolkits.mplot3d.axes3d.Axes3D.tricontour, mpl_toolkits.mplot3d.axes3d.Axes3D.contourf, mpl_toolkits.mplot3d.axes3d.Axes3D.tricontourf, mpl_toolkits.mplot3d.axes3d.Axes3D.quiver, mpl_toolkits.mplot3d.axes3d.Axes3D.voxels, mpl_toolkits.mplot3d.axes3d.Axes3D.errorbar, mpl_toolkits.mplot3d.axes3d.Axes3D.text2D, mpl_toolkits.mplot3d.axes3d.Axes3D.set_axis_off, mpl_toolkits.mplot3d.axes3d.Axes3D.set_axis_on, mpl_toolkits.mplot3d.axes3d.Axes3D.get_frame_on, mpl_toolkits.mplot3d.axes3d.Axes3D.set_frame_on, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.get_xlim, mpl_toolkits.mplot3d.axes3d.Axes3D.get_ylim, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zlim, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zlim, mpl_toolkits.mplot3d.axes3d.Axes3D.get_w_lims, mpl_toolkits.mplot3d.axes3d.Axes3D.invert_zaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.zaxis_inverted, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zbound, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zbound, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zlabel, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zlabel, mpl_toolkits.mplot3d.axes3d.Axes3D.set_title, mpl_toolkits.mplot3d.axes3d.Axes3D.set_xscale, mpl_toolkits.mplot3d.axes3d.Axes3D.set_yscale, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zscale, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zscale, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zmargin, mpl_toolkits.mplot3d.axes3d.Axes3D.margins, mpl_toolkits.mplot3d.axes3d.Axes3D.autoscale, mpl_toolkits.mplot3d.axes3d.Axes3D.autoscale_view, mpl_toolkits.mplot3d.axes3d.Axes3D.set_autoscalez_on, mpl_toolkits.mplot3d.axes3d.Axes3D.get_autoscalez_on, mpl_toolkits.mplot3d.axes3d.Axes3D.auto_scale_xyz, mpl_toolkits.mplot3d.axes3d.Axes3D.set_aspect, mpl_toolkits.mplot3d.axes3d.Axes3D.set_box_aspect, mpl_toolkits.mplot3d.axes3d.Axes3D.apply_aspect, mpl_toolkits.mplot3d.axes3d.Axes3D.tick_params, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zticks, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zticks, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zticklabels, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zticklines, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zgridlines, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zminorticklabels, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zmajorticklabels, mpl_toolkits.mplot3d.axes3d.Axes3D.zaxis_date, mpl_toolkits.mplot3d.axes3d.Axes3D.convert_zunits, mpl_toolkits.mplot3d.axes3d.Axes3D.add_collection3d, mpl_toolkits.mplot3d.axes3d.Axes3D.sharez, mpl_toolkits.mplot3d.axes3d.Axes3D.can_zoom, mpl_toolkits.mplot3d.axes3d.Axes3D.can_pan, mpl_toolkits.mplot3d.axes3d.Axes3D.disable_mouse_rotation, mpl_toolkits.mplot3d.axes3d.Axes3D.mouse_init, mpl_toolkits.mplot3d.axes3d.Axes3D.drag_pan, mpl_toolkits.mplot3d.axes3d.Axes3D.format_zdata, mpl_toolkits.mplot3d.axes3d.Axes3D.format_coord, mpl_toolkits.mplot3d.axes3d.Axes3D.view_init, mpl_toolkits.mplot3d.axes3d.Axes3D.set_proj_type, mpl_toolkits.mplot3d.axes3d.Axes3D.get_proj, mpl_toolkits.mplot3d.axes3d.Axes3D.set_top_view, mpl_toolkits.mplot3d.axes3d.Axes3D.get_tightbbox, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zlim3d, mpl_toolkits.mplot3d.axes3d.Axes3D.stem3D, mpl_toolkits.mplot3d.axes3d.Axes3D.text3D, mpl_toolkits.mplot3d.axes3d.Axes3D.tunit_cube, mpl_toolkits.mplot3d.axes3d.Axes3D.tunit_edges, mpl_toolkits.mplot3d.axes3d.Axes3D.unit_cube, mpl_toolkits.mplot3d.axes3d.Axes3D.w_xaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.w_yaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.w_zaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.get_axis_position, mpl_toolkits.mplot3d.axes3d.Axes3D.add_contour_set, mpl_toolkits.mplot3d.axes3d.Axes3D.add_contourf_set, mpl_toolkits.mplot3d.axes3d.Axes3D.update_datalim, mpl_toolkits.mplot3d.axes3d.get_test_data, mpl_toolkits.mplot3d.art3d.Line3DCollection, mpl_toolkits.mplot3d.art3d.Patch3DCollection, mpl_toolkits.mplot3d.art3d.Path3DCollection, mpl_toolkits.mplot3d.art3d.Poly3DCollection, mpl_toolkits.mplot3d.art3d.get_dir_vector, mpl_toolkits.mplot3d.art3d.line_collection_2d_to_3d, mpl_toolkits.mplot3d.art3d.patch_2d_to_3d, mpl_toolkits.mplot3d.art3d.patch_collection_2d_to_3d, mpl_toolkits.mplot3d.art3d.pathpatch_2d_to_3d, mpl_toolkits.mplot3d.art3d.poly_collection_2d_to_3d, mpl_toolkits.mplot3d.proj3d.inv_transform, mpl_toolkits.mplot3d.proj3d.persp_transformation, mpl_toolkits.mplot3d.proj3d.proj_trans_points, mpl_toolkits.mplot3d.proj3d.proj_transform, mpl_toolkits.mplot3d.proj3d.proj_transform_clip, mpl_toolkits.mplot3d.proj3d.view_transformation, mpl_toolkits.mplot3d.proj3d.world_transformation, mpl_toolkits.axes_grid1.anchored_artists.AnchoredAuxTransformBox, mpl_toolkits.axes_grid1.anchored_artists.AnchoredDirectionArrows, mpl_toolkits.axes_grid1.anchored_artists.AnchoredDrawingArea, mpl_toolkits.axes_grid1.anchored_artists.AnchoredEllipse, mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar, mpl_toolkits.axes_grid1.axes_divider.AxesDivider, mpl_toolkits.axes_grid1.axes_divider.AxesLocator, mpl_toolkits.axes_grid1.axes_divider.Divider, mpl_toolkits.axes_grid1.axes_divider.HBoxDivider, mpl_toolkits.axes_grid1.axes_divider.SubplotDivider, mpl_toolkits.axes_grid1.axes_divider.VBoxDivider, mpl_toolkits.axes_grid1.axes_divider.make_axes_area_auto_adjustable, mpl_toolkits.axes_grid1.axes_divider.make_axes_locatable, mpl_toolkits.axes_grid1.axes_grid.AxesGrid, mpl_toolkits.axes_grid1.axes_grid.CbarAxesBase, mpl_toolkits.axes_grid1.axes_grid.ImageGrid, mpl_toolkits.axes_grid1.axes_rgb.make_rgb_axes, mpl_toolkits.axes_grid1.axes_size.AddList, mpl_toolkits.axes_grid1.axes_size.Fraction, mpl_toolkits.axes_grid1.axes_size.GetExtentHelper, mpl_toolkits.axes_grid1.axes_size.MaxExtent, mpl_toolkits.axes_grid1.axes_size.MaxHeight, mpl_toolkits.axes_grid1.axes_size.MaxWidth, mpl_toolkits.axes_grid1.axes_size.Scalable, mpl_toolkits.axes_grid1.axes_size.SizeFromFunc, mpl_toolkits.axes_grid1.axes_size.from_any, mpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase, mpl_toolkits.axes_grid1.inset_locator.AnchoredSizeLocator, mpl_toolkits.axes_grid1.inset_locator.AnchoredZoomLocator, mpl_toolkits.axes_grid1.inset_locator.BboxConnector, mpl_toolkits.axes_grid1.inset_locator.BboxConnectorPatch, mpl_toolkits.axes_grid1.inset_locator.BboxPatch, mpl_toolkits.axes_grid1.inset_locator.InsetPosition, mpl_toolkits.axes_grid1.inset_locator.inset_axes, mpl_toolkits.axes_grid1.inset_locator.mark_inset, mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes, mpl_toolkits.axes_grid1.mpl_axes.SimpleAxisArtist, mpl_toolkits.axes_grid1.mpl_axes.SimpleChainedObjects, mpl_toolkits.axes_grid1.parasite_axes.HostAxes, mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase, mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes, mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesBase, mpl_toolkits.axes_grid1.parasite_axes.SubplotHost, mpl_toolkits.axes_grid1.parasite_axes.host_axes, mpl_toolkits.axes_grid1.parasite_axes.host_axes_class_factory, mpl_toolkits.axes_grid1.parasite_axes.host_subplot, mpl_toolkits.axes_grid1.parasite_axes.host_subplot_class_factory, mpl_toolkits.axes_grid1.parasite_axes.parasite_axes_class_factory, mpl_toolkits.axisartist.angle_helper.ExtremeFinderCycle, mpl_toolkits.axisartist.angle_helper.FormatterDMS, mpl_toolkits.axisartist.angle_helper.FormatterHMS, mpl_toolkits.axisartist.angle_helper.LocatorBase, mpl_toolkits.axisartist.angle_helper.LocatorD, mpl_toolkits.axisartist.angle_helper.LocatorDM, mpl_toolkits.axisartist.angle_helper.LocatorDMS, mpl_toolkits.axisartist.angle_helper.LocatorH, mpl_toolkits.axisartist.angle_helper.LocatorHM, mpl_toolkits.axisartist.angle_helper.LocatorHMS, mpl_toolkits.axisartist.angle_helper.select_step, mpl_toolkits.axisartist.angle_helper.select_step24, mpl_toolkits.axisartist.angle_helper.select_step360, mpl_toolkits.axisartist.angle_helper.select_step_degree, mpl_toolkits.axisartist.angle_helper.select_step_hour, mpl_toolkits.axisartist.angle_helper.select_step_sub, mpl_toolkits.axisartist.axes_grid.AxesGrid, mpl_toolkits.axisartist.axes_grid.ImageGrid, mpl_toolkits.axisartist.axis_artist.AttributeCopier, mpl_toolkits.axisartist.axis_artist.AxisArtist, mpl_toolkits.axisartist.axis_artist.AxisLabel, mpl_toolkits.axisartist.axis_artist.GridlinesCollection, mpl_toolkits.axisartist.axis_artist.LabelBase, mpl_toolkits.axisartist.axis_artist.TickLabels, mpl_toolkits.axisartist.axis_artist.Ticks, mpl_toolkits.axisartist.axisline_style.AxislineStyle, mpl_toolkits.axisartist.axislines.AxesZero, mpl_toolkits.axisartist.axislines.AxisArtistHelper, mpl_toolkits.axisartist.axislines.AxisArtistHelperRectlinear, mpl_toolkits.axisartist.axislines.GridHelperBase, mpl_toolkits.axisartist.axislines.GridHelperRectlinear, mpl_toolkits.axisartist.axislines.Subplot, mpl_toolkits.axisartist.axislines.SubplotZero, mpl_toolkits.axisartist.floating_axes.ExtremeFinderFixed, mpl_toolkits.axisartist.floating_axes.FixedAxisArtistHelper, mpl_toolkits.axisartist.floating_axes.FloatingAxes, mpl_toolkits.axisartist.floating_axes.FloatingAxesBase, mpl_toolkits.axisartist.floating_axes.FloatingAxisArtistHelper, mpl_toolkits.axisartist.floating_axes.FloatingSubplot, mpl_toolkits.axisartist.floating_axes.GridHelperCurveLinear, mpl_toolkits.axisartist.floating_axes.floatingaxes_class_factory, mpl_toolkits.axisartist.grid_finder.DictFormatter, mpl_toolkits.axisartist.grid_finder.ExtremeFinderSimple, mpl_toolkits.axisartist.grid_finder.FixedLocator, mpl_toolkits.axisartist.grid_finder.FormatterPrettyPrint, mpl_toolkits.axisartist.grid_finder.GridFinder, mpl_toolkits.axisartist.grid_finder.MaxNLocator, mpl_toolkits.axisartist.grid_helper_curvelinear, mpl_toolkits.axisartist.grid_helper_curvelinear.FixedAxisArtistHelper, mpl_toolkits.axisartist.grid_helper_curvelinear.FloatingAxisArtistHelper, mpl_toolkits.axisartist.grid_helper_curvelinear.GridHelperCurveLinear.

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