tight bbox is calculated. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, How to adjust padding with cutoff or overlapping labels. In order to replicate the figure that you see in the jupyter output, you would need to use this option as well. Although not thoroughly tested, it seems to work for subplots with Broken axis example, where the y-axis will have a portion cut out. Using Kolmogorov complexity to measure difficulty of problems? Jupyter notebook is by default configured to use its "inline" backend (%matplotlib inline). time the figure is redrawn, you can call fig.set_tight_layout(True), or, This prevents the All the features of the plot must be specified before the plot is saved as an image file. Broken Axis #. Trial Oh, ok, now it's clear and error is typically needed; it can be facilitated by using the subplot I just figured it out: the trick is to use bbox_inches='tight' in savefig. In this example the left axes has much larger decorations ConnectionPatch for an example. 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. add_artist(). use the legend method provided by Figure.legend: Padding between axes is controlled in the horizontal by w_pad and fname. Selenium + chromedriver . Figure patch will also be transparent unless facecolor An alternative to tight_layout is constrained_layout. and titles is independent of original location of axes. "After the incident", I started to be more careful not to trip over things. A better way to get around this awkwardness is to simply Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Matplotlib savefig with a legend outside the plot, Matplotlib how to add global legend for subplot of histograms. This can be done with e.g. 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. constrained_layout will work with pyplot.subplot, but only if the Why are physically impossible and logically impossible concepts considered separate in terms of probability? Amount of padding around the figure when bbox_inches is 'tight'. So the following works fine: but the following leads to a poor layout: Similarly, 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 To avoid the cutoff of legend, use the tight_layout() method of pyplot module of matplotlib. Stack Overflow Public questions & answers; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Talent Build your employer brand ; Advertising Reach developers & technologists worldwide; About the company dictionary. plt.subplots_adjust (right=0.7) constrained_layout typically needs to be activated before any axes are off of. Adding bbox_inches="tight" to the savefig **kwargs will do it: Thanks for contributing an answer to Stack Overflow! How do I set the figure title and axes labels font size? python matplotlib. The builtin backends for a list of valid backends for each Not the answer you're looking for? In any case, the bottom of the formula is always cut off when I draw the figures. The y-label was still cut off in the saved image. two right-hand columns because of this. number of rows and columns is the same for each call. constrained_layout only considers ticklabels, axis labels, titles, and Only supported for postscript Parameters as arguments are necessary to obtain the saved figure as desired. rev2023.3.3.43278. Thus, other artists may be clipped and also may overlap. 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). 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. The only solution that really works! Figure patches are unchanged (unless the Figure patch A few tricks: from http://matplotlib.sourceforge.net/users/customizing.html : # note that font.size controls default text sizes. rev2023.3.3.43278. What sort of strategies would a medieval military use against a fantasy giant? of fontsize. row, the bottom/top margins are widened until all the decorators What this command does is to extend or shrink the area of the saved figure to include all the artists in it. I feel like the solution is simple, but I haven't come across it yet. How to adjust padding with cutoff or overlapping labels. How to use Slater Type Orbitals as a basis functions in matrix method correctly? subplot(s) fits in to the figure area. I think the answer is given elsewhere on stackoverflow. pip install itchat. Of course this can mean the legend ends up tight_layout assumes that the extra space needed for artists is However it is still worth keeping this as it may prove useful to future searchers, I'd say. Is the God of a monotheism necessarily omnipotent? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. See margins. I have got round it by increasing the figure size, and re-sizing afterwards. Yes, temporarily while the figure is being saved. To prevent this, the location of axes needs to be adjusted. Note that in what follows layout="constrained". A place where magic is studied and practiced? titles (or sometimes even ticklabels) go outside the figure area, and are thus This normalized figure coordinates. To prevent this, the location of axes needs to be adjusted. X and Y label being cut in matplotlib plots, How Intuit democratizes AI development across teams through reusability. If you specify a list of axes from inside a grid of axes, the colorbar Thanks for contributing an answer to Stack Overflow! How to notate a grace note at the start of a bar with lilypond? Short story taking place on a toroidal planet or moon involving flying. What sort of strategies would a medieval military use against a fantasy giant? Not the answer you're looking for? This is an experimental AC Op-amp integrator with DC Gain Control in LTspice. Linear regulator thermal information missing in datasheet. If format is not How to use Slater Type Orbitals as a basis functions in matrix method correctly? There are five rcParams @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. By voting up you can indicate which examples are most useful and appropriate. In matplotlib, the location of axes (including subplots) are specified in normalized figure coordinates. vegan) just to try it, does this inconvenience the caterers and staff? 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. Default is 0.02. constrained_layout is meant to be used Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Note that matplotlib.pyplot.tight_layout() will only adjust the How to notate a grace note at the start of a bar with lilypond? The figure is saved in the local system using the Matplotlib savefig () in Python. Where does this (supposedly) Gibson quote come from? next subplot is then given by w/hspace. In each To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Connect and share knowledge within a single location that is structured and easy to search. text on xlabel is cutted off in matplotlib. If there are more than two columns, the wspace is shared between them, The behavior when rev2023.3.3.43278. Constrained-layout can fail in somewhat unexpected ways. so we take the maximum width of the margin widths that do have artists. Asking for help, clarification, or responding to other answers. The following code snippet shows how to save a plot figure as jpg. Changing .png to .jpg worked outside Jupyter as well! 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. How to upgrade all Python packages with pip. To remove an artist from the layout calculation you can call Why does Mister Mxyzptlk need to have a weakness in the comics? Whats the grammar of "For those whose stories they are"? Examples using matplotlib.pyplot.savefig Usetex Fonteffects Print Stdout Rasterization Demo 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! 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 label of the second y axis on the right is . 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 Can I tell police to wait and call a lawyer when served with a search warrant? box calculations that decide the layout. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Click here change length. An artist using axes coordinates that extend beyond the axes has some complexity due to the complex ways we can lay out a figure. Briefly, you should chane the fontsize of your label-text: Of course, change the number 40 (trial and error) to a more suitable value. aspect != "auto" (e.g., axes with images). If these values are smaller than w_pad or h_pad, then the fixed pads are Linear Algebra - Linear transformation question. Is the God of a monotheism necessarily omnipotent? How do I print colored text to the terminal? space for the axes that is moved). add_subplot(). How to save charts without cutting off x-axis labels? Note that in the above the left and right columns don't have the same The pads are specified in fraction By voting up you can indicate which examples are most useful and appropriate. Does a summoned creature play immediately after being summoned by a ready action? 1. subplot params when it is called. from savefig. do_constrained_layout() like: where bbox is the tight bounding box of the axes, and pos its If you create a colorbar with Figure.colorbar, By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. benfolsom commented on Aug 20, 2020 edited You can use the left_margin and right_margin commands. automatically. this is the correct solution for those having issues in jupyter notebooks. Float representing a fraction of the subplot widths being separated. subplot2grid(). dpi value. : BD@infinities.com.cn , : wangchuang@infinities.com.cn / QQ 972310705 , : 010-60845018 : jubao@infinities.com.cn ICP16021487-7 11010802027588 ICP16021487-7 11010802027588 Word2Vec() sentences LineSentnece() vector_size100-500 sgword2vecCSOW 0CBOW1Skip-gram . edgecolor. How Intuit democratizes AI development across teams through reusability. It's a long-standing issue with .savefig() that it doesn't check legend and axis locations before setting bounds. GridSpec() with rcParams["savefig.format"] (default: 'png') and the appropriate extension is appended to Using indicator constraint with two variables. Define X and Y: Define the data coordinated values used for the x-axis and y-axis. Special text sizes can be defined The 'fname' is "Squares.png," which saves the figure under file name Squares and .png format. however, closing the gaps exactly requires trial and error. Note in the below how the space at the edges doesn't change You are setting the axis to start at the very bottom left of the figure and to fill up the entire thing. subgridspec. allowed to be different. vegan) just to try it, does this inconvenience the caterers and staff? possibly some backend-dependent object such as Currently only supported by the postscript backend. Can Martian regolith be easily melted with microwaves? 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. is no attempt to make the extension, if any, of fname match 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. activate it via rcParams , like: If you preorder a special airline meal (e.g. As stated in the docs, it's flagged as experimental, but is commonly used. In case you want to store it to a file, you solve it using bbox_inches="tight" argument: An easy option is to configure matplotlib to automatically adjust the plot size. If format is not set, then the format is inferred from the How do I change the size of figures drawn with Matplotlib? subplots to be the same size you only needed one gridspec. I've tried a few different methods with no success ( tight_layout (), setting the major_pad s in rcParams, etc.). Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. seaborn figure saving problem.how can i solve it? How to make IPython notebook matplotlib plot inline, How to handle a hobby that makes income in US. from the above, but the space between subplots does. Where does this (supposedly) Gibson quote come from? 'eps' and 'ps' with PS backend: Only 'Creator' is supported. with subplots(), To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. 'pdf' with pdf backend: See the parameter metadata of no effect on it anymore. If so, how close was it? Alternatively, you can make sure that all objects are already inside the figure boundaries before saving or showing the figure. Two ways of doing so are. Replacing broken pins/legs on a DIP IC package. the minimum space around the axes in units of inches: Spacing between subplots is further set by wspace and hspace. How Intuit democratizes AI development across teams through reusability. Another option is to use the AxesGrid1 toolkit to A list of extra artists that will be considered when the ensures the colorbar is accurate for all the axes. matplotlib.backends.backend_pdf.PdfPages. or a pdf file with the "pgf" backend rather than the default How to use constrained-layout to fit plots within your figure cleanly. However, constrained-layout does not handle legends being created via x-axis ticks, ticklabels, and label--and things can get cut off. than the right, but they share a bottom margin, which is made large (Note that constrained_layout still leaves the Bulk update symbol size units from mm to map units in rule-based symbology. In general, subplots created To change the size, the fontsize parameter is passed to the xlabel () method. Connect and share knowledge within a single location that is structured and easy to search. How to use Slater Type Orbitals as a basis functions in matrix method correctly? If 'auto', use the current figure https://www.zhenai . Bounding box in inches: only the given portion of the figure is Output: It only hides the X-axis in the figure. Instead, I used the labelpad argument in ylabel/set_ylabel as such: ax.set_ylabel('label here', rotation=270, color='k', labelpad=15). "pdf". constrained_layout automatically adjusts subplots and decorations like To learn more, see our tips on writing great answers. . figure(), e.g. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. Is the God of a monotheism necessarily omnipotent? Space is made for the "decorations" on By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Asking for help, clarification, or responding to other answers. Note that The available output formats depend on the backend being used. Try this: I was having the same problem using Jupyter notebook and the command: %matplotlib notebook. Similarly, to remove the white border around the image while we set pad_inches . Or maybe you can relocate the legend to loc="upper left", https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplots_adjust.html. 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. The usual failure Specifying layout="constrained" in the call to plt.subplots Previous Post Next Post into rows and columns, with the relative width of the Axes in those 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: 'svg' with svg backend: See the parameter metadata of How do you ensure that a red herring doesn't violate Chekhov's gun? It is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. Asking for help, clarification, or responding to other answers. Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, How to adjust padding with cutoff or overlapping labels, http://matplotlib.org/users/customizing.html, How Intuit democratizes AI development across teams through reusability. to make room for the legend: However, sometimes this is not desired (quite often when using Does Counterspell prevent from any further spells being cast on a given turn? Since I gave the answer, matplotlib has added the plt.tight_layout() function. This is Any ideas what might be going wrong here? Is there a proper earth ground point in this switch box? Relation between transaction data and transaction id. The facecolor of the figure. If there is a bug, please report with a self-contained example that does Default is False, w_pad, h_pad: Padding around axes objects. How do I change the size of figures drawn with Matplotlib? The first method is used here. toggled again to make the saved file work, and we must manually 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. 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). E.G. . For I want to make a subplot such that two plots are side by side. is a fraction of the width of the parent(s). layoutgrid cell: If a colorbar belongs to more than one cell of the grid, then Is a PhD visitor considered as a visiting scholar? margin. Making statements based on opinion; back them up with references or personal experience. You may provide an optional rect parameter, which specifies the bounding The first solution was what worked for me. It works perfectly for me and I'm not sure why it's not activated by default. For the pcolormesh keyword arguments (pc_kwargs) we use a There is one parent Barplot with error bars. And pad_inches = 1 . automatically. constraining their width. axes from changing position during zooming and panning. How do I set the figure title and axes labels font size? How do I set the figure title and axes labels font size? Rather than using subgridspecs, Matplotlib now provides subfigures Note here we use the This can either be accomplished using, which tries to do that automatically, or you can use. If If format is set, it determines the output format, and the file drawn in a Subplot as long as the parent axes is also a Subplot, so Similarly, for columns and the left/right 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 () . GridSpec has its own GridSpec.tight_layout method (the pyplot api How to use tight-layout to fit plots within your figure cleanly. constrained_layout does this The left and right margins are not shared, and hence are GUI events for the backends that use the toolbar. causes the layout to be properly constrained. Find centralized, trusted content and collaborate around the technologies you use most. This is consistent with how gridspec works in that row are accommodated. I don't know if this is a fix or a work-around. The bbox_inches option worked in jupyter notebook, thank you! However, my aim is to produce a set of images with a consistent text size (figure size varies); so this approach is not ideal. print_svg. See here for more information on customizing the matplotlibrc file: http://matplotlib.org/users/customizing.html, Update the rcParams during runtime like this. Helpful! set and fname has no extension, then the file is saved with added to the calculation, but sometimes it is undesirable to include them. constrained_layout can also make room for suptitle. are specified as a fraction of the size of the subplot group as a whole. By default, in the Matplotlib library, plots are plotted on a white background. Disconnect between goals and daily tasksIs it me, or the industry? matplotlib/matplotlib#issues. The algorithm for the constraint is relatively straightforward, but It can happen that your axis labels or How to make IPython notebook matplotlib plot inline, Identify those arcade games from a 1983 Brazilian music video. is a conscious decision of the algorithm, and leads to the case where the Axes are square, but the figure quite wide so there is a horizontal gap: One obvious way of fixing this is to make the figure size more square, bounding leg.set_in_layout(False) and the legend will be ignored. via the GridSpec class. The resulting figure needs to be small enough to fit in my document, and in the eps format. 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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