The first method is used here. I work in jupyter lab, and the facecolor default is set to black, so you don't see the axes, even though they are being drawn. Python plt .savefig () x. Default is 0.02. constrained_layout is meant to be used What sort of strategies would a medieval military use against a fantasy giant? saved. 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 pad=0 can clip some texts by a few pixels. Bio.Phylo.read python examples - Codesuche.com constrained_layout only considers ticklabels, axis labels, titles, and Meanwhile, use of pad larger than 0.3 is recommended. In any case, the bottom of the formula is always cut off when I draw the figures. Find centralized, trusted content and collaborate around the technologies you use most. Connect and share knowledge within a single location that is structured and easy to search. add_subplot(). is saved as fname. How to notate a grace note at the start of a bar with lilypond? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. are rare cases where it is not. subplot2grid(). To change the size, the fontsize parameter is passed to the xlabel () method. 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 () . 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. Note how the four margins encompass the axes decorations. Matplotlib is highly useful visualization library in Python. please also checked this issue which raised 8 years ago.. Moving matplotlib legend outside of the axis makes it cutoff by the figure box. or columns, or by specifying width and height ratios. Briefly, you should chane the fontsize of your label-text: Of course, change the number 40 (trial and error) to a more suitable value. This is import numpy as np import matplotlib.pyplot as plt np.random.seed(19680801) pts = np.random.rand(30)*.2 # Now let's make two outlier points which are far away from everything. possibly some backend-dependent object such as Sometimes, when we save a plot with a legend in our machine we find that the legend cut-offs. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. them to fit. from the gridspec (Arranging multiple Axes in a Figure) will work. Why do small African island nations perform better than African continental nations, considering democracy and human development? 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. How to match a specific column position till the end of line? a constraint solver the solver can find solutions that are mathematically X and Y label being cut in matplotlib plots - Stack Overflow next subplot is then given by w/hspace. The label of the second y axis on the right is . The figure showed correctly in the notebook but didn't print axis and titles when saved with fig.savefig(). I am using TKAgg backend by default in matplotlibrc. We need to make this figure mode is for all sizes to collapse to their smallest allowable value. feature and may not work for some cases. right side of the figure. In order to However, this will steal space from a subplot layout: In order for a legend or other artist to not steal space By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Only supported for postscript Changing .png to .jpg worked outside Jupyter as well! If False has no effect and the color of the Axes and activate it via rcParams , like: (converted to answer from earlier comment). As a rule, I solve this with the bbox_inches argument: 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. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Answer 1. It displays a saved png version of the figure. Do new devs get fired if they can't solve a certain bug? Figure patches are unchanged (unless the Figure patch When there are multiple axes they have their layouts bound in Matplotlib plots can be saved as image files using the plt.savefig () function. Note that the default backend is normally sufficient. constrained_layout typically needs to be activated before any axes are added to a figure. Check out, Matplotlib invert y axis. X and Y label being cut in matplotlib plots, How Intuit democratizes AI development across teams through reusability. Is it suspicious or odd to stand by the gate of a GA airport watching the planes? # third axes that spans both rows in second column: Customizing Matplotlib with style sheets and rcParams, Text rendering with XeLaTeX/LuaLaTeX via the, Grids of fixed aspect-ratio Axes: "compressed" layout. 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! is no attempt to make the extension, if any, of fname match What is recommended practice for dealing with this? How can I save a Matplotlib figure after changing the background color? Currently only supported by the postscript backend. 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. One case that requires finessing is if margins do not have any artists correct, but that aren't at all what the user wants. There are five rcParams two right-hand columns because of this. PIL.Image.Image.save when saving the figure. Note how the left column is wider than the aspect != "auto" (e.g., axes with images). subgridspec. I never realized it needed to be called last this is super helpful! I am also hitting this issue where it's cutting off axis labels. Save plot to image file instead of displaying it using Matplotlib. I think this modification will satisfy you. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. To avoid the cutoff of legend, use the tight_layout() method of pyplot module of matplotlib. The resulting figure needs to be small enough to fit in my document, and in the eps format. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. via the GridSpec class. To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. How to notate a grace note at the start of a bar with lilypond? This can either be accomplished using, which tries to do that automatically, or you can use. pyplot.tight_layout also works). Another option is to use the AxesGrid1 toolkit to - 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 'fname' is "Squares.png," which saves the figure under file name Squares and .png format. To configure # special text sizes tick labels, axes, labels, title, etc, see the rc # settings for axes and ticks. 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. The difference between the phonemes /p/ and /b/ in Japanese. This prevents the Pass the file name along with extension, as string argument, to savefig () function. tight_layout assumes that the extra space needed for artists is How to handle a hobby that makes income in US. of the axes before printing. 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. So, we'll learn how to solve the problem of legend cut off while saving a plot. By voting up you can indicate which examples are most useful and appropriate. Gridspec layout, either by specifying them to cross Gridspecs rows AC Op-amp integrator with DC Gain Control in LTspice, Identify those arcade games from a 1983 Brazilian music video. Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? --Matplotlibplt.savefig() 22 pt plt.savefig() automatically. This post describes how to add error bars on your barplot using R. Both ggplot2 and base R solutions are considered. Word2Vec() sentences LineSentnece() vector_size100-500 sgword2vecCSOW 0CBOW1Skip-gram . If you preorder a special airline meal (e.g. If these values are smaller than w_pad or h_pad, then the fixed pads are Of course this can mean the legend ends up independent of the original location of axes. If How to use tight-layout to fit plots within your figure cleanly. In the example below, ax1 and ax2 are subplots of a 2x2 # layout="constrained" keyword argument will do the adjusting cropped, but can be useful if the plot is subsequently called Find centralized, trusted content and collaborate around the technologies you use most. . extension of fname, if there is one. In constrained_layout, each gridspec gets a layoutgrid associated with and defaults depend on the image format and backend: 'png' with Agg backend: See the parameter metadata of file. matplotlib has a function called tight_layout , which automatically adjusts subplot params so that the subplot(s) fits in to the figure area. Whats the grammar of "For those whose stories they are"? from the above, but the space between subplots does. Rather than using subgridspecs, Matplotlib now provides subfigures They all have the prefix figure.constrained_layout: use: Whether to use constrained_layout. rcParams["savefig.format"] (default: 'png') and the appropriate extension is appended to a plot on top of a colored background on a web page. If you specify a list of axes (or other iterable container) to the w/h_pad are How do I print colored text to the terminal? Thanks, mate! To subscribe to this RSS feed, copy and paste this URL into your RSS reader. "pdf". legends. When saving, it uses the option bbox_inches = "tight". Plot y=cos (x), curve using plot () method, with color=green, marker="x" and label y=cos (x). 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. constraining their width. It is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. An artist using axes coordinates that extend beyond the axes 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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