matplotlib savefig cuts off y axis labels

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. to set_position will set the axes so constrained_layout has GridSpec instance if the geometry is not the same, and axes overlapping each other. format, and no extension is appended. dpi value. If False has no effect and the color of the Axes and fname. While limited, mpl_toolkits.axes_grid1 is also supported. In my experience it should be called as late as possible (e.g. Why are physically impossible and logically impossible concepts considered separate in terms of probability? Note in the below how the space at the edges doesn't change a limitation of the current algorithm, and it is not clear why it For the pcolormesh keyword arguments (pc_kwargs) we use a I think the answer is given elsewhere on stackoverflow. Does Python have a string 'contains' substring method? How to notate a grace note at the start of a bar with lilypond? I work in jupyter lab, and the facecolor default is set to black, so you don't see the axes, even though they are being drawn. The resulting figure needs to be small enough to fit in my document, and in the eps format. constrained_layout automatically adjusts subplots and decorations like Try this: I was having the same problem using Jupyter notebook and the command: %matplotlib notebook. 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. Currently only supported by the postscript backend. Here are the examples of the python api sumo.io.questaal.QuestaalSite.from_file taken from open source projects. Do new devs get fired if they can't solve a certain bug? a child layoutgrid for the gridspec that contains the axes, again By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. : plt.subplots(layout="constrained") Copy to clipboard. In order to perform this adjustment each If 'figure', use the figure's position. I changed. Because it uses A place where magic is studied and practiced? Thus, other artists may be clipped and also may overlap. I've tried a few different methods with no success (tight_layout(), setting the major_pads in rcParams, etc). How do I change the size of figures drawn with Matplotlib? automatically. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. 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. Two ways of doing so are. Acidity of alcohols and basicity of amines, Short story taking place on a toroidal planet or moon involving flying. What is a word for the arcane equivalent of a monastery? Syntax: matplotlib.pyplot.ylabel (ylabel, fontdict=None, labelpad=None) Parameters: ylabel: The name of the label fontdict: Adds the font styles to the label labelpad: This helps us to set the spacing between label and the axis Example #1: How do I change the figure size with subplots? didn't work for me. This can be avoided by adding the artist directly to the This prevents the complicated layouts, like having one GridSpec in the left and one in the facecolor. How do I change the size of figures drawn with Matplotlib? @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. text on xlabel is cutted off in matplotlib, Y-axis label on seaborn chart is being cut off, Incomple text while saving seaborn figures. The algorithm for the constraint is relatively straightforward, but axes. this is the correct solution for those having issues in jupyter notebooks. this worked in conjunction with fig.tight_layout() for me, good suggestion. However, my aim is to produce a set of images with a consistent text size (figure size varies); so this approach is not ideal. How to tell which packages are held back due to phased updates. In constrained_layout, each gridspec gets a layoutgrid associated with before using savefig) and probably after calls which change the geometry (like fig.set_size_inches). figure border and between subplots. dictionary. The left and right margins are not shared, and hence are it makes a larger margin for each: There are two ways to make axes have an uneven size in a To learn more, see our tips on writing great answers. 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. I created a picture with matplotlib and I saved it as a png. The difference between the phonemes /p/ and /b/ in Japanese. When to use cla(), clf() or close() for clearing a plot in matplotlib? more than just 10^n, like x * 10^n). Can airtags be tracked from an iMac desktop, with no iPhone? constrained_layout operates on the grid of "original" positions for During this saving, the option bbox_inches="tight" is used. The bbox_inches option worked in jupyter notebook, thank you! How do I set the figure title and axes labels font size? Here are the examples of the python api Bio.Phylo.read taken from open source projects. A manual call If you preorder a special airline meal (e.g. # we don't want the layout to change at this point. off of. Jupyter notebook is by default configured to use its "inline" backend (%matplotlib inline). What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? Answer 1. file format. in that row are accommodated. I would like an autocrop tool, to save rectangle only and not all white space around it. It works with subplots created with If 'tight', try to figure out the tight bbox of the figure. 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. I've tried a few different methods with no success ( tight_layout (), setting the major_pad s in rcParams, etc.). seeks to find out why Ipython output differs Connect and share knowledge within a single location that is structured and easy to search. it. Making statements based on opinion; back them up with references or personal experience. The bbox_inches option in savefig corrected that. These I have clearly set the xlabel and the tick marks work correctly in IPython inline plot. The pads are specified in fraction How to save charts without cutting off x-axis labels? Making statements based on opinion; back them up with references or personal experience. --Matplotlibplt.savefig() 22 pt plt.savefig() Therefore, setting the color of tick labels as white can make the axis tick labels hidden. into rows and columns, with the relative width of the Axes in those rev2023.3.3.43278. right side of the figure. Find centralized, trusted content and collaborate around the technologies you use most. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. Figure patches are unchanged (unless the Figure patch tight_layout() will work even if the sizes of to render a Subsequently, these artists were ax argument of colorbar, constrained_layout will take space from subplots to minimize the overlaps. See here for more information on customizing the matplotlibrc file: http://matplotlib.org/users/customizing.html, Update the rcParams during runtime like this. Either use: plt.tight_layout() or specifically set the margins, e.g. There are five rcParams In this example the left axes has much larger decorations subplots to be the same size you only needed one gridspec. . "pdf". The coordinates must be in Two ways of doing so are. Find centralized, trusted content and collaborate around the technologies you use most. The 'fname' is "Squares.png," which saves the figure under file name Squares and .png format. It works perfectly for me and I'm not sure why it's not activated by default. "After the incident", I started to be more careful not to trip over things. matplotlib/matplotlib#issues. Can Martian regolith be easily melted with microwaves? Figure.tight_layout does this from savefig. two right-hand columns because of this. How do I set the figure title and axes labels font size? # see note above: this makes all pcolormesh calls consistent: # trigger a draw so that constrained_layout is executed once. Figure patch will also be transparent unless facecolor GUI events for the backends that use the toolbar. The facecolor of the figure. How can this new ban on drag possibly be considered constitutional? further it has a margin for each of left, right, bottom and top. Is there a proper earth ground point in this switch box? This is an experimental However, we do not recommend that this be used to manually construct more bounding leg.set_in_layout(False) and the legend will be ignored. I changed %matplotlib notebook to %matplotlib inline and that solved the problem. of Axes we can use layout="compressed" to do the job for us: constrained_layout usually adjusts the axes positions on each draw Yes, temporarily while the figure is being saved. Connect and share knowledge within a single location that is structured and easy to search. What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? It is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. are rare cases where it is not. How to upgrade all Python packages with pip. 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. See matplotlib Tutorials: Tight Layout Guide. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Thanks for contributing an answer to Stack Overflow! What this command does is to extend or shrink the area of the saved figure to include all the artists in it. What can a lawyer do if the client wants him to be acquitted of everything despite serious evidence? margin. Why do academics stay as adjuncts for years rather than move around? When there are multiple axes they have their layouts bound in Difficulties with estimation of epsilon-delta limit proof, Trying to understand how to get this basic Fourier Series. How does Python's super() work with multiple inheritance? Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Y axis label missing when saving matplotlib file as png, Save matplotlib to final given size including titles, Matplotlib , dimensione grafico impostata label "tagliati". An alternative to tight_layout is constrained_layout. extension of fname, if there is one. Although not thoroughly tested, it seems to work for subplots with png file with the "cairo" backend rather than the default "agg", What video game is Charlie playing in Poker Face S01E07? for each column, and bottom and top variables for each row, and rev2023.3.3.43278. : [email protected] , : [email protected] / QQ 972310705 , : 010-60845018 : [email protected] ICP16021487-7 11010802027588 ICP16021487-7 11010802027588 Is there a proper earth ground point in this switch box? And neither do I know if this helps. Making statements based on opinion; back them up with references or personal experience. However when I looked at the saved image, it presents thus: As you can see, the text is cut off. compatible. Connect and share knowledge within a single location that is structured and easy to search. Can I tell police to wait and call a lawyer when served with a search warrant? . import matplotlib.pyplot as plt plt.savefig ("output.jpg") #save as jpg plt.savefig ("output.png") # . It can happen that your axis labels or Difficulties with estimation of epsilon-delta limit proof. bbox_inches='tight' seems to fix cropping issues but it didn't work for .png. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. w/h_pad are If format is not set, then the format is inferred from the This In Jupyter Lab the y label is cutoff if using log scale and the numbers on the scale get too long (i.e. It can happen that your axis labels or titles (or sometimes even ticklabels) go outside the figure area, and are thus clipped. Not the answer you're looking for? I was using Jupyter Notebook and Just change .png to .jpg and my problem is solved now Here is my code: Thanks for contributing an answer to Stack Overflow! Do new devs get fired if they can't solve a certain bug? When you have multiple subplots, often you see labels of different subplot2grid(). Not the answer you're looking for? In each Briefly, you should chane the fontsize of your label-text: Of course, change the number 40 (trial and error) to a more suitable value. Use a non-default backend to render the file, e.g. IPython : 8.2.0 ipykernel : 6.13.0 ip. so the results will not be pixel-identical. 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. Float representing inches. I feel like the solution is simple, but I haven't come across it yet. Matplotlib Server Side Programming Programming To save a file with legend outside the plot, we can take the following steps Create x data points using numpy. its not the default because people quite often don't want their figures changing size. Similarly, to remove the white border around the . Where does this (supposedly) Gibson quote come from? How do I align things in the following tabular environment? subplots, this can be done manually by adjusting the subplot parameters When we use plt.axis ('off') command it hides the axis, but we get whitespaces around the image's border while saving it. The y-label was still cut off in the saved image. Changing figure size doesn't seem to help this, and I haven't been able to figure out how to shift the x-axis "up" to make room for the xlabel. plt .savefig () . Figure using # 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. Customizing Matplotlib with style sheets and rcParams, Text rendering with XeLaTeX/LuaLaTeX via the. is a fraction of the width of the parent(s). What sort of strategies would a medieval military use against a fantasy giant? Note how the four margins encompass the axes decorations. has some complexity due to the complex ways we can lay out a figure. I was able to solve the issue (in visual studio code jupyter extension) by changing the format from 'png' to 'jpg', along with the parameter 'plt.subplots(tight_layout=True)'. each side of the axes. How to remove axis, legends, and white padding, Changing the tick frequency on the x or y axis, Adding a y-axis label to secondary y-axis in matplotlib, Python Matplotlib - how to set values on y axis in barchart. 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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