Plot y=sin (x) curve using plot () method, with color=red, marker="v" and label y=sin (x). Plots.savefig is cutting off some annotations which run off the edge of the axes, even when the figure is adjusted with PyPlot.subplots_adjust. in that row are accommodated. However, specifying your figure with the subplot params when it is called. X and Y label being cut in matplotlib plots, How Intuit democratizes AI development across teams through reusability. Here are the examples of the python api sumo.io.questaal.QuestaalSite.from_file taken from open source projects. They all have the prefix figure.constrained_layout: use: Whether to use constrained_layout. If False has no effect and the color of the Axes and subplots, this can be done manually by adjusting the subplot parameters How do I change the size of figures drawn with Matplotlib? Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? so here the wspace is divided in two, with a wspace of 0.1 between each plt.savefig ('Test', bbox_inches='tight') This is similar to calling plt.tight_layout (), but takes all of the relevant artists into account, whereas tight_layout will often pull some objects into frame while cutting off new ones. two right-hand columns because of this. I feel like the solution is simple, but I haven't come across it yet. 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. If 'figure', use the figure's The left and right margins are not shared, and hence are You can also set custom padding as defaults in your $HOME/.matplotlib/matplotlib_rc as follows. Find centralized, trusted content and collaborate around the technologies you use most. Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). I've tried a few different methods with no success (tight_layout(), setting the major_pads in rcParams, etc). How do I set the figure title and axes labels font size? normalized figure coordinates and the default is (0, 0, 1, 1). @ImportanceOfBeingErnest agreed. Method 2: S elect all columns except one by setting the color white. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Similarly, for columns and the left/right remove the legend from the bounding box calculation, we simply set its tight_layout assumes that the extra space needed for artists is To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. to render a tight_layout() will work even if the sizes of If we want the top and bottom of the two grids to line up automatically. I'm not sure of the usefulness of the original question and MRE. constrained_layout. The edgecolor of the figure. During this saving, the option bbox_inches="tight" is used. Changing .png to .jpg worked outside Jupyter as well! plt.savefig("test.png",bbox_inches='tight'). explicitly create an Axes for the colorbar. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Asking for help, clarification, or responding to other answers. compatible. For simple grids space for the axes that is moved). but uses a constraint solver to determine the size of axes that allows To subscribe to this RSS feed, copy and paste this URL into your RSS reader. GridSpec instance if the geometry is not the same, and dictionary. A better way to get around this awkwardness is to simply If True, the Axes patches will all be transparent; the How do I change the size of figures drawn with Matplotlib? How to make an affine transformation of a plot? This makes all the axes have the same size: Total running time of the script: ( 0 minutes 20.432 seconds), Download Python source code: constrainedlayout_guide.py, Download Jupyter notebook: constrainedlayout_guide.ipynb. Two ways of doing so are. constrained_layout operates on the grid of "original" positions for import pandas as pd file_path = r ' D:\linshi\catering_fish_congee.xls ' # R transferred to the path, Windows needs raw_data = pd.read_excel(file_path, header=0) # header = 0 means the first line is the header, and it will be removed automatically print (raw_data) import matplotlib.pyplot as plt import pandas as pd import numpy as np # import seaborn as import matplotlib.pyplot as plt # Set . clipped. To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? Note that if you specify use_gridspec=True it will be one set of pcolors. In order to replicate the figure that you see in the jupyter output, you would need to use this option as well. If you create a colorbar with Figure.colorbar, titles (or sometimes even ticklabels) go outside the figure area, and are thus @JodyKlymak, Does bbox_inches change the size of the figure object itself? from the gridspec (Arranging multiple Axes in a Figure) will work. convenience functions add_gridspec and to make room for the legend: However, sometimes this is not desired (quite often when using it. is a fraction of the width of the parent(s). plt .savefig () . Matplotlib x-axis label size We'll look at how to make the x-axis label font bigger. Figure patches are unchanged (unless the Figure patch happens. The following steps are used to plot legend outside in matplotlib are outlined below: Defining Libraries: Import the important libraries which are required (For data creation and manipulation: Numpy and Pandas, For data visualization: pyplot from matplotlib). To learn more, see our tips on writing great answers. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Examples using matplotlib.pyplot.savefig Usetex Fonteffects Print Stdout Rasterization Demo Matplotlib plots can be saved as image files using the plt.savefig () function.,The keyword argument bbox_inches='tight' is optional. VIPPythonVIP 20 canvas 3 # before we turn it off when printing. # we want the legend included in the bbox_inches='tight' calcs. text on xlabel is cutted off in matplotlib. . Connect and share knowledge within a single location that is structured and easy to search. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. shorter, and leaves large gaps in the shortened direction. with subplots(), consisting of one row and column. Can Martian regolith be easily melted with microwaves? We need to make this figure What sort of strategies would a medieval military use against a fantasy giant? GridSpec() with E.G. In the case below, the right margin for column 0 I feel like the solution is simple, but I haven't come across it yet. This post describes how to add error bars on your barplot using R. Both ggplot2 and base R solutions are considered. Note that fname is used verbatim, and there without constrained layout. How to deal with SettingWithCopyWarning in Pandas, Remove y-axis tick labels on subplot with sharey=
. Barplot with error bars. If you preorder a special airline meal (e.g. seaborn figure saving problem.how can i solve it? benfolsom commented on Aug 20, 2020 edited You can use the left_margin and right_margin commands. # third axes that spans both rows in second column: Customizing Matplotlib with style sheets and rcParams, Text rendering with XeLaTeX/LuaLaTeX via the, Grids of fixed aspect-ratio Axes: "compressed" layout. Is a PhD visitor considered as a visiting scholar? 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. However, we do not recommend that this be used to manually construct more By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Why do small African island nations perform better than African continental nations, considering democracy and human development? more than just 10^n, like x * 10^n). Connect and share knowledge within a single location that is structured and easy to search. 'eps' and 'ps' with PS backend: Only 'Creator' is supported. The transparency of these patches will be restored to their wspace, and vertical by h_pad and hspace. In each wspace, hspace: Space between subplot groups. I use the following parameters: fig1,ax1 = plt.subplots(1,1) plt.axis('equal') plt.axis('off') plt.savefig("rectangle.png",bbox_inches='tight') I tryed adding transparent option too but not work: plt.savefig("rectangle.png . using the respective argument to subplots() or The y-label was still cut off in the saved image. Default is 3./72. . To prevent this, the location of axes needs to be adjusted. set and fname has no extension, then the file is saved with Note that the middle top and Connect and share knowledge within a single location that is structured and easy to search. An artist using axes coordinates that extend beyond the axes To learn more, see our tips on writing great answers. However, when Axes have fixed aspect ratios, one side is usually made # automatically. pad=0 can clip some texts by a few pixels. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Adding a legend to PyPlot in Matplotlib in the simplest manner possible, Dynamically Updating Text outside Matplotlib (Python). Use a non-default backend to render the file, e.g. You may provide an optional rect parameter, which specifies the bounding It displays a saved png version of the figure. In the case this is a machine-specific problem, I am running this on OSX 10.6.8 with matplotlib 1.0.0. to make room for the label, where plt.gcf() means get the current figure. dpi value. I changed %matplotlib notebook to %matplotlib inline and that solved the problem. pad, w_pad and h_pad. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, I think @tom is right that this is a duplicate; although the solution of using. preserving, as best they can, the logical layout requested by the user. 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. Note. Find centralized, trusted content and collaborate around the technologies you use most. to download the full example code. Connect and share knowledge within a single location that is structured and easy to search. x-axis ticks, ticklabels, and label--and things can get cut off. Does a summoned creature play immediately after being summoned by a ready action? enough to accommodate the larger xlabel. In matplotlib I'd add bbox_inches="t. Skip to content Toggle navigation. legends. Can Martian regolith be easily melted with microwaves? (converted to answer from earlier comment). Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. https://www.zhenai . @ImportanceOfBeingErnest and tom: fair enough, I was expecting something to come up from a search, or when I typed in the question - perhaps something did and I missed it. no effect on it anymore. Is it correct to use "the" before "materials used in making buildings are"? constrained_layout is similar to mode is for all sizes to collapse to their smallest allowable value. Not the answer you're looking for? How do I set the figure title and axes labels font size? There are small differences in how the backends handle rendering fonts, Thanks for contributing an answer to Stack Overflow! Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. bottom margins are not affected by the left-hand column. I'm trying to plot two sets of data in a bar graph with matplotlib, so I'm using two axes with the twinx() method. However, the second y-axis label gets cut off. Can airtags be tracked from an iMac desktop, with no iPhone? time the figure is redrawn, you can call fig.set_tight_layout(True), or, Since I gave the answer, matplotlib has added the plt.tight_layout() function. I am also hitting this issue where it's cutting off axis labels. Alternatively, you can shrink the content of the figure, such that there is enough space for the text to fit into the original figure. used instead. GridSpec has its own GridSpec.tight_layout method (the pyplot api The first solution was what worked for me. However, constrained-layout does not handle legends being created via How do I change the size of figures drawn with Matplotlib? Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. Acidity of alcohols and basicity of amines, Short story taking place on a toroidal planet or moon involving flying. See Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. I am working in Jupyter Notebook, but this shouldn't change anything: The displayed output is just as I want it: However, when I try to export the figure, the text to the right get cut: Using plt.tightlayout(), as suggested here makes the problem worse. vegan) just to try it, does this inconvenience the caterers and staff? For example, you can turn off individual axes (ticks and tick labels). A few tricks: from http://matplotlib.sourceforge.net/users/customizing.html : # note that font.size controls default text sizes. In matplotlib, the location of axes (including subplots) are specified in normalized figure coordinates. The layoutgrid has a series of left and right variables As stated in the docs, it's flagged as experimental, but is commonly used. What video game is Charlie playing in Poker Face S01E07? I'm trying to plot two sets of data in a bar graph with matplotlib, so I'm using two axes with the twinx () method. Is it possible to rotate a window 90 degrees if it has the same length and width? To learn more, see our tips on writing great answers. Figure patch will also be transparent unless facecolor On the other hand, I need nice large font sizes for publication, and apparently the issue persists after doing plt.savefig () with large font size (say 22 pt). It works perfectly for me and I'm not sure why it's not activated by default. Is it correct to use "the" before "materials used in making buildings are"? This pip install itchat. This can be done with e.g. It works perfectly for me and I'm not sure why it's not activated by default. tight_layout() will also adjust spacing between use the legend method provided by Figure.legend: Padding between axes is controlled in the horizontal by w_pad and If 'auto', use the current figure cropped, but can be useful if the plot is subsequently called In the following, Matplotlib.pyplot.savefig () rev2023.3.3.43278. subgridspec. Constrained-layout is designed to handle this for Axes.legend(). In matplotlib, the location of axes (including subplots) are specified in The available output formats depend on the backend being used. How do you ensure that a red herring doesn't violate Chekhov's gun? 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. How to match a specific column position till the end of line? a child layoutgrid for the gridspec that contains the axes, again Sometimes, when we save a plot with a legend in our machine we find that the legend cut-offs. To save plot figure as JPG or PNG file, call savefig () function on matplotlib.pyplot object. Amount of padding around the figure when bbox_inches is 'tight'. Adding bbox_inches="tight" to the savefig **kwargs will do it: Thanks for contributing an answer to Stack Overflow! This is often true, but there As the title says. this worked in conjunction with fig.tight_layout() for me, good suggestion. How do I set the figure title and axes labels font size? The pads are specified in fraction Float representing a fraction of the subplot widths being separated. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. figure(), e.g. 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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