matplotlib savefig cuts off y axis labels matplotlib savefig cuts off y axis labels

The advantage of using this approach is that your code will produce the same graphs on differently-configured machines. time the figure is redrawn, you can call fig.set_tight_layout(True), or, To save plot figure as JPG or PNG file, call savefig () function on matplotlib.pyplot object. often true, but there are rare cases where it is not. Matplotlib tight_layout legend. : Those are described in detail throughout the following sections. off of. 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. It works perfectly for me and I'm not sure why it's not activated by default. How do I align things in the following tabular environment? By default, in the Matplotlib library, plots are plotted on a white background. What does the "yield" keyword do in Python? Is a PhD visitor considered as a visiting scholar? Another option is to use the AxesGrid1 toolkit to How Intuit democratizes AI development across teams through reusability. 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. I am using TKAgg backend by default in matplotlibrc. is no attempt to make the extension, if any, of fname match Find centralized, trusted content and collaborate around the technologies you use most. How do I set the figure title and axes labels font size? matplotlib has a function called tight_layout , which automatically adjusts subplot params so that the subplot(s) fits in to the figure area. Word2Vec() sentences LineSentnece() vector_size100-500 sgword2vecCSOW 0CBOW1Skip-gram . The label of the second y axis on the right is . In Matplotlib, the location of axes (including subplots) are specified in Note, Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. text on xlabel is cutted off in matplotlib. These 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". 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: this is unset is documented under fname. How to make IPython notebook matplotlib plot inline, How to handle a hobby that makes income in US. 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 To learn more, see our tips on writing great answers. Custom backends can be referenced as "module://". Note. Note that in what follows layout="constrained". seeks to find out why Ipython output differs clipped. The plt.savefig () function needs to be called right above the plt.show () line. While limited, mpl_toolkits.axes_grid1 is also supported. Not the answer you're looking for? How do you ensure that a red herring doesn't violate Chekhov's gun? thank you so much! Matplotlib plots can be saved as image files using the plt.savefig () function.,The keyword argument bbox_inches='tight' is optional. Any ideas what might be going wrong here? for each column, and bottom and top variables for each row, and Why is Matplotlib cutting off my (very specific) axis label? However, we do not recommend that this be used to manually construct more added to the calculation, but sometimes it is undesirable to include them. the specified axes. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. rev2023.3.3.43278. Matplotlib x-axis label size We'll look at how to make the x-axis label font bigger. The spacing to the 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. plt.gca(), which gets the current Axes, can also be used. tight_layout() can take keyword arguments of Find centralized, trusted content and collaborate around the technologies you use most. 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). axes from changing position during zooming and panning. How to use Slater Type Orbitals as a basis functions in matrix method correctly? When there are multiple axes they have their layouts bound in further it has a margin for each of left, right, bottom and top. Plot y=cos (x), curve using plot () method, with color=green, marker="x" and label y=cos (x). Examples using matplotlib.pyplot.savefig Usetex Fonteffects Print Stdout Rasterization Demo The left and right margins are not shared, and hence are Method 2: S elect all columns except one by setting the color white. A few tricks: from http://matplotlib.sourceforge.net/users/customizing.html : # note that font.size controls default text sizes. matplotlib set_ylabel font size plot image without axes python pyplot not show axis turn off axes matplotlib axis = false matplotliob remove axis in a python plot code to turn off plot axis in python treemap remove ticks matplotlib axis number size matplotlib horizontal line matplotlib python rcparams 'figure.figsize' python save figure matplotlib.pyplot.ylabel () This function sets the label for the y-axis of the plot. I have to tell pyplot to keep it tight more than half the time, so I'm not sure why this isn't the default behavior. There are probably other, more recent, duplicate targets that one could link to too; its a very common question on here. fname. The following code snippet shows how to save a plot figure as jpg. 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. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. To prevent this, the location of axes needs to be adjusted. rev2023.3.3.43278. If True, the Axes patches will all be transparent; the this worked in conjunction with fig.tight_layout() for me, good suggestion. Where does this (supposedly) Gibson quote come from? figure border and between subplots. 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. @ImportanceOfBeingErnest agreed. Float representing inches. subplot2grid(). This can be avoided by adding the artist directly to the added to a figure. (converted to answer from earlier comment). This prevents the : plt.subplots(layout="constrained") Copy to clipboard. Why is there a voltage on my HDMI and coaxial cables? Connect and share knowledge within a single location that is structured and easy to search. Note that constrained_layout is turned off for ZOOM and PAN 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 . Default is 3./72. A gridspec is a logical division of the figure By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. right side of the figure. For 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)'. Python plt .savefig () x. Note how the four margins encompass the axes decorations. Note that When using Ipython (via Spyder), the plot presents ok. wspace, and vertical by h_pad and hspace. 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 . To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. 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. Connect and share knowledge within a single location that is structured and easy to search. saved. 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. Why is Matplotlib cutting off my (very specific) axis label? column: GridSpecs also have optional hspace and wspace keyword arguments, How do I print colored text to the terminal? I use matplotlib for this purpose pretty frequently. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. However, constrained-layout does not handle legends being created via constrained_layout only considers ticklabels, axis labels, titles, and ignored because this option is made for improving the layout via are specified as a fraction of the size of the subplot group as a whole. How to save charts without cutting off x-axis labels? . Adding bbox_inches="tight" to the savefig **kwargs will do it: Thanks for contributing an answer to Stack Overflow! layoutgrid for the figure consisting of one column and row, and Currently only supported by the postscript backend. Save plot to image file instead of displaying it using Matplotlib. rcParams["savefig.format"] (default: 'png') and the appropriate extension is appended to Figure using I've tried a few different methods with no success ( tight_layout (), setting the major_pad s in rcParams, etc.). Define X and Y: Define the data coordinated values used for the x-axis and y-axis. How can this new ban on drag possibly be considered constitutional? How to remove axis, legends, and white padding. Linear Algebra - Linear transformation question. 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. What can a lawyer do if the client wants him to be acquitted of everything despite serious evidence? Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. How to change the font size on a matplotlib plot. This is often true, but there There is one parent Can I tell police to wait and call a lawyer when served with a search warrant? import itchat itchat.auto_login() . By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. In my experience it should be called as late as possible (e.g. I have to tell pyplot to keep it tight more than half the time, so I'm not sure why this isn't the default behavior. Of course, if you wanted the then they need to be in the same gridspec. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Acidity of alcohols and basicity of amines, Short story taking place on a toroidal planet or moon involving flying. GridSpec has its own GridSpec.tight_layout method (the pyplot api A manual call There's no room for the axis labels or the title. Something like that would be a reasonable temporary solution, but what would be nice would be to have a way to make matplotlib recognize automatically that the label is cut off and resize accordingly. of fontsize. It works with subplots created with I'm not sure of the usefulness of the original question and MRE. Why are physically impossible and logically impossible concepts considered separate in terms of probability? you need to make room for it. Pre Matplotlib 2.2, legends and annotations were excluded from the bounding layoutgrid cell: If a colorbar belongs to more than one cell of the grid, then from the above, but the space between subplots does. Try this: I was having the same problem using Jupyter notebook and the command: %matplotlib notebook. Only supported for postscript This can either be accomplished using plt.tight_layout () which tries to do that automatically, or you can use I am plotting a dataset using matplotlib where I have an xlabel that is quite "tall" (it's a formula rendered in TeX that contains a fraction and is therefore has the height equivalent of a couple of lines of text). So the following works fine: but the following leads to a poor layout: Similarly, Bulk update symbol size units from mm to map units in rule-based symbology. And neither do I know if this helps. I just figured it out: the trick is to use bbox_inches='tight' in savefig. 'svg' with svg backend: See the parameter metadata of to download the full example code. As stated in the docs, it's flagged as experimental, but is commonly used. The plt.axis('off') command hides the axis, but we get whitespaces around the image's border while saving it. By voting up you can indicate which examples are most useful and appropriate. Jupyter notebook is by default configured to use its "inline" backend (%matplotlib inline). Does Python have a ternary conditional operator? # before we turn it off when printing. # we want the legend included in the bbox_inches='tight' calcs. Adding a legend to PyPlot in Matplotlib in the simplest manner possible, Dynamically Updating Text outside Matplotlib (Python). In matplotlib, the location of axes (including subplots) are specified in To learn more, see our tips on writing great answers. Making statements based on opinion; back them up with references or personal experience. is a conscious decision of the algorithm, and leads to the case where Subsequently, these artists were When we use plt.axis ('off') command it hides the axis, but we get whitespaces around the image's border while saving it. For is specified via the facecolor and/or edgecolor keyword Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). matplotlib.backends.backend_pdf.PdfPages. I created a picture with matplotlib and I saved it as a png. or a pdf file with the "pgf" backend rather than the default See matplotlib Tutorials: Tight Layout Guide. tight_layout assumes that the extra space needed for artists is I guess this was not implemented when you asked this question, but as it's the top result on google, hopefully it can help users of the current matplotlib version. Hide the Whitespaces and Borders in Matplotlib Figure. tight_layout() will work even if the sizes of seeks to ensure consistent text size with differing figure sizes. In constrained_layout, each gridspec gets a layoutgrid associated with Note that in the above the left and right columns don't have the same Do new devs get fired if they can't solve a certain bug? How to save charts without cutting off x-axis labels? ax argument of colorbar, constrained_layout will take space from Whats the grammar of "For those whose stories they are"? tight bbox is calculated. rev2023.3.3.43278. plt .savefig () . 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. Constrained-layout can fail in somewhat unexpected ways. grid, while ax3 is of a 1x2 grid. that will be used instead of the pads set by constrained_layout: Colorbars are placed a distance pad from their parent, where pad Is a PhD visitor considered as a visiting scholar? How to notate a grace note at the start of a bar with lilypond? Is it correct to use "the" before "materials used in making buildings are"? Of course this can mean the legend ends up Figure.tight_layout does this 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. In the plt.show() gui-window, one of the buttons is doing exactly this call too. Any ideas what might be going wrong here? Not the answer you're looking for? For this only color, the attribute needs to pass with w (represents white) as a value to xticks () and . text on xlabel is cutted off in matplotlib, Y-axis label on seaborn chart is being cut off, Incomple text while saving seaborn figures. # we don't want the layout to change at this point. This is potentially useful for animations where the tick labels may . However it is still worth keeping this as it may prove useful to future searchers, I'd say. If 'figure', use the figure's simple ways. When you have multiple subplots, often you see labels of different possibly some backend-dependent object such as Upload a document from your computer or cloud storage. activate it via rcParams , like: An artist using axes coordinates that extend beyond the axes I think the answer is given elsewhere on stackoverflow. original values upon exit of this function. How to notate a grace note at the start of a bar with lilypond? To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. One of 'letter', 'legal', 'executive', 'ledger', 'a0' through # see note above: this makes all pcolormesh calls consistent: # trigger a draw so that constrained_layout is executed once. Linear regulator thermal information missing in datasheet. Alternatively, you can shrink the content of the figure, such that there is enough space for the text to fit into the original figure. using the respective argument to subplots () or figure (), e.g. What can a lawyer do if the client wants him to be acquitted of everything despite serious evidence? Difficulties with estimation of epsilon-delta limit proof, Trying to understand how to get this basic Fourier Series. Instead, I used the labelpad argument in ylabel/set_ylabel as such: ax.set_ylabel('label here', rotation=270, color='k', labelpad=15). 'pdf' with pdf backend: See the parameter metadata of However when I looked at the saved image, it presents thus: As you can see, the text is cut off. pip install itchat. The only solution that really works! position. In matplotlib, the location of axes (including subplots) are specified in normalized figure coordinates. For instance in this case it might be good to have the axes shrink a bit To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Selenium + chromedriver . By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. The coordinates must be in As the title says. Note that fname is used verbatim, and there 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.