The bbox_inches option in savefig corrected that. How to save a matplotlib figure and fix text cutting off || Matplotlib Tips Kimberly Fessel 14K subscribers Subscribe 14K views 2 years ago Use matplotlib to save a figure with this demo.. Difficulties with estimation of epsilon-delta limit proof. If you specify a list of axes from inside a grid of axes, the colorbar without constrained layout. matplotlib/matplotlib#issues. even when the figure is adjusted with PyPlot.subplots_adjust. How do I change the figure size with subplots? I use matplotlib for this purpose pretty frequently. Two ways of doing so are. The only solution that really works! Figure using from the above, but the space between subplots does. that will be used instead of the pads set by constrained_layout: Colorbars are placed a distance pad from their parent, where pad Broken axis example, where the y-axis will have a portion cut out. I think this modification will satisfy you. How to change the font size on a matplotlib plot. facecolor. Asking for help, clarification, or responding to other answers. We need to make this figure 1. file format. How to make IPython notebook matplotlib plot inline, Identify those arcade games from a 1983 Brazilian music video. How do you ensure that a red herring doesn't violate Chekhov's gun? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. It displays a saved png version of the figure. Why do small African island nations perform better than African continental nations, considering democracy and human development? And pad_inches = 1 . has some complexity due to the complex ways we can lay out a figure. : plt.subplots(layout="constrained") Copy to clipboard. How do I align things in the following tabular environment? I am using mpl1.5 I believe. GUI events for the backends that use the toolbar. Save plot to image file instead of displaying it using Matplotlib. Connect and share knowledge within a single location that is structured and easy to search. So the following works fine: but the following leads to a poor layout: Similarly, Difficulties with estimation of epsilon-delta limit proof. How to use Slater Type Orbitals as a basis functions in matrix method correctly? How to remove axis, legends, and white padding. added to a figure. Where does this (supposedly) Gibson quote come from? The edgecolor of the figure. two right-hand columns because of this. tight_layout() will work even if the sizes of How can we prove that the supernatural or paranormal doesn't exist? 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! Disconnect between goals and daily tasksIs it me, or the industry? By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. (converted to answer from earlier comment). text on xlabel is cutted off in matplotlib. a constraint solver the solver can find solutions that are mathematically Space is made for the "decorations" on To subscribe to this RSS feed, copy and paste this URL into your RSS reader. In the example below, ax1 and ax2 are subplots of a 2x2 . add_subplot(). one set of pcolors. How to make an affine transformation of a plot? PdfPages. You are setting the axis to start at the very bottom left of the figure and to fill up the entire thing. A list of extra artists that will be considered when the matplotlib has a function called tight_layout , which automatically adjusts subplot params so that the subplot(s) fits in to the figure area. bottom margins are not affected by the left-hand column. import matplotlib.pyplot as plt plt.savefig ("output.jpg") #save as jpg plt.savefig ("output.png") # . the same effect can be achieved using subfigures. to render a To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. How to use Slater Type Orbitals as a basis functions in matrix method correctly? I don't think the question should be closed since the question is talking about. constrained_layout can also make room for suptitle. The bbox_inches ="tight" save the figure in a tight fit. Making statements based on opinion; back them up with references or personal experience. Connect and share knowledge within a single location that is structured and easy to search. vertical extent. To remove an artist from the layout calculation you can call data_file = "waypoints.json" def speed_ans(self, data_file): pass def visualize_type(output): """Visualize data by category in a bar . plt .savefig () . Is a PhD visitor considered as a visiting scholar? In the code, this is accomplished by the entries in What is recommended practice for dealing with this? It works perfectly for me and I'm not sure why it's not activated by default. Thanks, mate! to download the full example code. Find centralized, trusted content and collaborate around the technologies you use most. I am using TKAgg backend by default in matplotlibrc. constrained_layout typically needs to be activated before any axes are The supported keys Additional keyword arguments that are passed to Figure.tight_layout will work. The coordinates must be in thank you so much! In order to perform this adjustment each via the GridSpec class. What does ** (double star/asterisk) and * (star/asterisk) do for parameters? A focus on different . The bbox_inches option worked in jupyter notebook, thank you! x-axis ticks, ticklabels, and label--and things can get cut off. Using Kolmogorov complexity to measure difficulty of problems? It's a long-standing issue with .savefig() that it doesn't check legend and axis locations before setting bounds. Matplotlib is highly useful visualization library in Python. One of 'letter', 'legal', 'executive', 'ledger', 'a0' through output. In another plot of a different code which i am working on, even the ylabel is also cut when i save the plot using plt.savefig('Test').How can i can fix this? How Intuit democratizes AI development across teams through reusability. 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. Try this: I was having the same problem using Jupyter notebook and the command: %matplotlib notebook. legends and colorbars so that they fit in the figure window while still Use a non-default backend to render the file, e.g. Matplotlib savefig does not save axes Ask Question Asked 9 years, 4 months ago Modified 6 months ago Viewed 40k times 32 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. rev2023.3.3.43278. enough to accommodate the larger xlabel. Whats the grammar of "For those whose stories they are"? subplots are different as far as their grid specification is cropped, but can be useful if the plot is subsequently called How to notate a grace note at the start of a bar with lilypond? constraining their width. Why are physically impossible and logically impossible concepts considered separate in terms of probability? What sort of strategies would a medieval military use against a fantasy giant? If these values are smaller than w_pad or h_pad, then the fixed pads are By default, in the Matplotlib library, plots are plotted on a white background. 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. Sometimes, when we save a plot with a legend in our machine we find that the legend cut-offs. : Those are described in detail throughout the following sections. 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. ensures the colorbar is accurate for all the axes. Not the answer you're looking for? explicitly create an Axes for the colorbar. Method 1 Set this in your matplotlibrc file figure.autolayout : True See here for more information on customizing the matplotlibrc file: http://matplotlib.org/users/customizing.html Method 2 Update the rcParams during runtime like this Does a summoned creature play immediately after being summoned by a ready action? from the subplot layout, we can leg.set_in_layout(False). 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. axes. Is it correct to use "the" before "materials used in making buildings are"? What is the purpose of this D-shaped ring at the base of the tongue on my hiking boots? What is a word for the arcane equivalent of a monastery? Linear Algebra - Linear transformation question. number of rows and columns is the same for each call. How do I print colored text to the terminal? vegan) just to try it, does this inconvenience the caterers and staff? They all have the prefix figure.constrained_layout: use: Whether to use constrained_layout. However, the second y-axis label gets cut off. 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. Find centralized, trusted content and collaborate around the technologies you use most. The facecolor of the figure. Note here we use the The figure showed correctly in the notebook but didn't print axis and titles when saved with fig.savefig(). GridSpec instance if the geometry is not the same, and Thus, other artists may be clipped and also may overlap. more than just 10^n, like x * 10^n). Does Counterspell prevent from any further spells being cast on a given turn? For The 'fname' is "Squares.png," which saves the figure under file name Squares and .png format. you need to make room for it. How to use Slater Type Orbitals as a basis functions in matrix method correctly? Connect and share knowledge within a single location that is structured and easy to search. # layout="constrained" keyword argument will do the adjusting Adding bbox_inches="tight" to the savefig **kwargs will do it: Thanks for contributing an answer to Stack Overflow! Defining fig = plt.figure(figsize=(15,10)) at the beginning, saving the file as .jpg and setting bbox_inches='tight' - plt.savefig('filename.jpg',bbox_inches='tight', dpi=150) solved the issue for me. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. in that row are accommodated. Can Martian regolith be easily melted with microwaves? constrained_layout typically needs to be activated before any axes are added to a figure. An artist using axes coordinates that extend beyond the axes Either use: plt.tight_layout() or specifically set the margins, e.g. Not the answer you're looking for? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. to download the full example code. To learn more, see our tips on writing great answers. constrained_layout does this Where does this (supposedly) Gibson quote come from? Subsequently, these artists were Amount of padding around the figure when bbox_inches is 'tight'. To prevent this, the location of axes needs to be adjusted. is specified via the facecolor and/or edgecolor keyword 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. benfolsom commented on Aug 20, 2020 edited You can use the left_margin and right_margin commands. 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! 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 () . fname. Why is Matplotlib cutting off my (very specific) axis label? You can also set custom padding as defaults in your $HOME/.matplotlib/matplotlib_rc as follows. What this command does is to extend or shrink the area of the saved figure to include all the artists in it. These control the extra padding around the I'm not sure of the usefulness of the original question and MRE. What sort of strategies would a medieval military use against a fantasy giant? larger as well in order for the axes not to collapse to zero height: This example uses two gridspecs to have the colorbar only pertain to How do I change the size of figures drawn with Matplotlib? rcParams["savefig.format"] (default: 'png') and the appropriate extension is appended to Does Counterspell prevent from any further spells being cast on a given turn? trigger a draw if we want constrained_layout to adjust the size them to fit. Using Kolmogorov complexity to measure difficulty of problems? from savefig. legends. subplots, this can be done manually by adjusting the subplot parameters To learn more, see our tips on writing great answers. 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. normalized figure coordinates. a plot on top of a colored background on a web page. Is it suspicious or odd to stand by the gate of a GA airport watching the planes? In each It is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. @ImportanceOfBeingErnest agreed. subplots, this can be done manually by adjusting the subplot parameters By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. edgecolor. This can be avoided by adding the artist directly to the 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. Can airtags be tracked from an iMac desktop, with no iPhone? via set. Matplotlib plots can be saved as image files using the plt.savefig () function. Disconnect between goals and daily tasksIs it me, or the industry? 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. set and fname has no extension, then the file is saved with Previous Post Next Post For a single Axes the layout is straight forward. 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. I encountered the same issue which plt.tight_layout() did not automatically solve. The pads are specified in fraction The behavior when Any ideas what might be going wrong here? so the results will not be pixel-identical. convenience functions add_gridspec and You can use the get_yaxis () or get_xaxis () to get the respective axes and turn them off by using set_visible (False): 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. file. Is there a proper earth ground point in this switch box? w/h_pad are A place where magic is studied and practiced? figure(), e.g. When we use plt.axis ('off') command it hides the axis, but we get whitespaces around the image's border while saving it. #. It works perfectly for me and I'm not sure why it's not activated by default. --Matplotlibplt.savefig() 22 pt plt.savefig() Layout in Matplotlib is carried out with gridspecs I always use tight_layout but unfortunately savefig was still cutting off part of the plot. Why is there a voltage on my HDMI and coaxial cables? Can Martian regolith be easily melted with microwaves? Yes, temporarily while the figure is being saved. If format is not set, then the format is inferred from the See matplotlib Tutorials: Tight Layout Guide. VIPPythonVIP 20 canvas 3 In general, subplots created Why is Matplotlib cutting off my (very specific) axis label? By voting up you can indicate which examples are most useful and appropriate. . wspace, hspace: Space between subplot groups. 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. As the title says. 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. rows and columns set by width_ratios and height_ratios. Python plt .savefig () x. The difference between the phonemes /p/ and /b/ in Japanese. In the following, GridSpec has its own GridSpec.tight_layout method (the pyplot api grid, while ax3 is of a 1x2 grid. AC Op-amp integrator with DC Gain Control in LTspice, Identify those arcade games from a 1983 Brazilian music video. Is there a single-word adjective for "having exceptionally strong moral principles"? 'pdf' with pdf backend: See the parameter metadata of space for the axes that is moved). Can airtags be tracked from an iMac desktop, with no iPhone? activate it via rcParams , like: matplotlib.backends.backend_pdf.PdfPages. This is an experimental If True, the Axes patches will all be transparent; the print_svg. add_artist(). ConnectionPatch for an example. tight_layout. How do I change the size of figures drawn with Matplotlib? rev2023.3.3.43278. In any case, the bottom of the formula is always cut off when I draw the figures. 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). Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. Customizing Matplotlib with style sheets and rcParams, Text rendering with XeLaTeX/LuaLaTeX via the. : BD@infinities.com.cn , : wangchuang@infinities.com.cn / QQ 972310705 , : 010-60845018 : jubao@infinities.com.cn ICP16021487-7 11010802027588 ICP16021487-7 11010802027588 feature and may not work for some cases. 02. vegan) just to try it, does this inconvenience the caterers and staff? preserving, as best they can, the logical layout requested by the user. Note that @JodyKlymak, Does bbox_inches change the size of the figure object itself? often true, but there are rare cases where it is not. Note how the four margins encompass the axes decorations. Similarly, to remove the white border around the image while we set pad_inches . If format is not arguments in which case those colors are used). Alternatively, you can shrink the content of the figure, such that there is enough space for the text to fit into the original figure. Specifying layout="constrained" in the call to plt.subplots savefig(fname, dpi=None, facecolor='w', edgecolor='w', orientation='portrait', papertype=None, format=None, transparent=False, bbox_inches=None, pad_inches=0.1, frameon=None, metadata=None) The output formats available depend on the backend being used. So, we'll learn how to solve the problem of legend cut off while saving a plot. pyplot.tight_layout also works). 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. Helpful! Here are the examples of the python api Bio.Phylo.read taken from open source projects. time the figure is redrawn, you can call fig.set_tight_layout(True), or, and the left margin for column 3 have no margin artists to set their width, 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". If format is set, it determines the output format, and the file Constrained-layout can fail in somewhat unexpected ways. the Figure subfigures. Note that the default backend is normally sufficient. ignored because this option is made for improving the layout via where the parameters denote the margins on each side in units of fractions of figure size (30% space on the left, 10% space on the right, etc.). this happens, it is for one of two reasons: There was not enough room for the elements you were requesting to draw. aspect != "auto" (e.g., axes with images). tight_layout considers all artists on the axes by 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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