add_artist(). 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. normalized figure coordinates and the default is (0, 0, 1, 1). Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. feature and may not work for some cases. Click here fname. I encountered the same issue which plt.tight_layout() did not automatically solve. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. In the code, this is accomplished by the entries in If Not the answer you're looking for? more than just 10^n, like x * 10^n). When to use cla(), clf() or close() for clearing a plot in matplotlib? It works with subplots created with Find centralized, trusted content and collaborate around the technologies you use most. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. They all have the prefix figure.constrained_layout: use: Whether to use constrained_layout. In general, subplots created ConnectionPatch for an example. tight_layout assumes that the extra space needed for artists is import json import datetime import pprint from operator import itemgetter import natsort import matplotlib.pyplot as plt import numpy as np from collections import Counter #path to gps data file in json format. a constraint solver the solver can find solutions that are mathematically Plot y=cos (x), curve using plot () method, with color=green, marker="x" and label y=cos (x). How can this new ban on drag possibly be considered constitutional? : BD@infinities.com.cn , : wangchuang@infinities.com.cn / QQ 972310705 , : 010-60845018 : jubao@infinities.com.cn ICP16021487-7 11010802027588 ICP16021487-7 11010802027588 . However, the second y-axis label gets cut off. 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. If you specify a list of axes from inside a grid of axes, the colorbar (Note that constrained_layout still leaves the then they need to be in the same gridspec. grid, while ax3 is of a 1x2 grid. Figure.legend() (yet). How can we prove that the supernatural or paranormal doesn't exist? Artist.set_in_layout. I want to make a subplot such that two plots are side by side. independent of the original location of axes. Helpful! using the respective argument to subplots() or Pre Matplotlib 2.2, legends and annotations were excluded from the bounding Matplotlib x-axis label size We'll look at how to make the x-axis label font bigger. Is there a proper earth ground point in this switch box? Using Kolmogorov complexity to measure difficulty of problems? Alternatively, you can shrink the content of the figure, such that there is enough space for the text to fit into the original figure. I think the answer is given elsewhere on stackoverflow. The plt.savefig () function needs to be called right above the plt.show () line. If these values are smaller than w_pad or h_pad, then the fixed pads are subplots, this can be done manually by adjusting the subplot parameters python matplotlib. There is one parent How do I set the figure title and axes labels font size? Click here I'm not sure of the usefulness of the original question and MRE. The plt.axis('off') command hides the axis, but we get whitespaces around the image's border while saving it. Save plot to image file instead of displaying it using Matplotlib. clipped. pad=0 can clip some texts by a few pixels. 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. Pass the file name along with extension, as string argument, to savefig () function. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. 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. Figure patch will also be transparent unless facecolor Of course this can mean the legend ends up The bbox_inches option worked in jupyter notebook, thank you! When using Ipython (via Spyder), the plot presents ok. subplot_mosaic(), or 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. 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. Note how the four margins encompass the axes decorations. 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. Bulk update symbol size units from mm to map units in rule-based symbology. Using Kolmogorov complexity to measure difficulty of problems? 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. simple ways. and defaults depend on the image format and backend: 'png' with Agg backend: See the parameter metadata of thank you so much! however, closing the gaps exactly requires trial and error. Either use: plt.tight_layout() or specifically set the margins, e.g. Connect and share knowledge within a single location that is structured and easy to search. I am using TKAgg backend by default in matplotlibrc. "After the incident", I started to be more careful not to trip over things. is specified via the facecolor and/or edgecolor keyword of the figure. E.G. To save plot figure as JPG or PNG file, call savefig () function on matplotlib.pyplot object. Visualization plays a very important role as it helps us to understand huge chunks of data and extract knowledge. to download the full example code. figure(), e.g. Here are the examples of the python api Bio.Phylo.read taken from open source projects. Same with the shared top Figure.tight_layout will work. Specifying layout="constrained" in the call to plt.subplots How do I change the size of figures drawn with Matplotlib? In constrained_layout, each gridspec gets a layoutgrid associated with activate it via rcParams , like: See here for more information on customizing the matplotlibrc file: http://matplotlib.org/users/customizing.html, Update the rcParams during runtime like this. saved. seeks to ensure consistent text size with differing figure sizes. further it has a margin for each of left, right, bottom and top. explicitly create an Axes for the colorbar. Is it correct to use "the" before "materials used in making buildings are"? Find centralized, trusted content and collaborate around the technologies you use most. wspace, and vertical by h_pad and hspace. PIL.Image.Image.save when saving the figure. X and Y label being cut in matplotlib plots, How Intuit democratizes AI development across teams through reusability. has some complexity due to the complex ways we can lay out a figure. 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 The y-label was still cut off in the saved image. To learn more, see our tips on writing great answers. @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. Alternatively, you can make sure that all objects are already inside the figure boundaries before saving or showing the figure. matplotlib.backends.backend_pdf.PdfPages. benfolsom commented on Aug 20, 2020 edited You can use the left_margin and right_margin commands. Thanks for contributing an answer to Stack Overflow! To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Is there a single-word adjective for "having exceptionally strong moral principles"? Relation between transaction data and transaction id. I use matplotlib for this purpose pretty frequently. If we want the top and bottom of the two grids to line up If you create a colorbar with Figure.colorbar, the created colorbar is How Intuit democratizes AI development across teams through reusability. Try this: I was having the same problem using Jupyter notebook and the command: %matplotlib notebook. How to use Slater Type Orbitals as a basis functions in matrix method correctly? Using indicator constraint with two variables. Could be facecolor. automatically. Find centralized, trusted content and collaborate around the technologies you use most. This can be avoided by adding the artist directly to the Python plt .savefig () x. In the case this is a machine-specific problem, I am running this on OSX 10.6.8 with matplotlib 1.0.0. to make room for the label, where plt.gcf() means get the current figure. Two ways of doing so are. Only supported for postscript Currently only supported by the postscript backend. shorter, and leaves large gaps in the shortened direction. Another option is to use the AxesGrid1 toolkit to seaborn figure saving problem.how can i solve it? 'svg' with svg backend: See the parameter metadata of which also work with constrained_layout: There can be good reasons to manually set an Axes position. Is a PhD visitor considered as a visiting scholar? In Dungeon World, is the Bard's Arcane Art subject to the same failure outcomes as other spells? How can we prove that the supernatural or paranormal doesn't exist? . row, the bottom/top margins are widened until all the decorators Why is this sentence from The Great Gatsby grammatical? Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? - the incident has nothing to do with me; can I use this this way? How do I align things in the following tabular environment? Is it suspicious or odd to stand by the gate of a GA airport watching the planes? How to change the font size on a matplotlib plot. axes overlapping each other. And pad_inches = 1 . However, when Axes have fixed aspect ratios, one side is usually made 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. Similarly, to remove the white border around the image while we set pad_inches . Not the answer you're looking for? # we don't want the layout to change at this point. Thanks, mate! subplot(s) fits in to the figure area. Note here we use the 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. Space is made for the "decorations" on subplot params when it is called. toggled again to make the saved file work, and we must manually Hiding the Whitespaces and Borders in the Matplotlib figure. When we use plt.axis ('off') command it hides the axis, but we get whitespaces around the image's border while saving it. It can happen that your axis labels or plt.subplots_adjust (right=0.7) however, that the legend's get_in_layout status will have to be Why does Mister Mxyzptlk need to have a weakness in the comics? compatible. this happens, it is for one of two reasons: There was not enough room for the elements you were requesting to draw. are rare cases where it is not. 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 do I change the size of figures drawn with Matplotlib? subplot2grid works with the same limitation If format is not Default is 0.02. constrained_layout is meant to be used advantage of Nested Gridspecs, or We need to make this figure I've tried a few different methods with no success (tight_layout(), setting the major_pads in rcParams, etc). Therefore, setting the color of tick labels as white can make the axis tick labels hidden. This can be done with e.g. Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). Axis labels are cut off when saving figure Follow 42 views (last 30 days) Show older comments Myles on 16 May 2018 Vote 1 Link Commented: Mike Borrello on 16 Jun 2018 Consider the following MWE with produces a figure: Theme Copy clear close all fig1 = figure (1); set (gca,'xscale','log') set (gca,'yscale','log') xlabel ('Frequency (Hz)') Thanks for contributing an answer to Stack Overflow! constrained_layout will work with pyplot.subplot, but only if the To prevent this, the location of axes needs to be adjusted. In the following, the minimum space around the axes in units of inches: Spacing between subplots is further set by wspace and hspace. Does a summoned creature play immediately after being summoned by a ready action? Trial Oh, ok, now it's clear and error is typically needed; it can be facilitated by using the subplot Asking for help, clarification, or responding to other answers. plt .savefig () . The edgecolor of the figure. Making statements based on opinion; back them up with references or personal experience. Disconnect between goals and daily tasksIs it me, or the industry? in that row are accommodated. I feel like the solution is simple, but I haven't come across it yet. next subplot is then given by w/hspace. import matplotlib.pyplot as plt plt.savefig ("output.jpg") #save as jpg plt.savefig ("output.png") # . pip install itchat. constrained_layout. However, constrained-layout does not handle legends being created via How to notate a grace note at the start of a bar with lilypond? 'pdf' with pdf backend: See the parameter metadata of To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. subgridspec. Thus, other artists may be clipped and also may overlap. For the pcolormesh keyword arguments (pc_kwargs) we use a # layout="constrained" keyword argument will do the adjusting The first solution was what worked for me. Why are physically impossible and logically impossible concepts considered separate in terms of probability? Selenium + chromedriver . Making statements based on opinion; back them up with references or personal experience. Making statements based on opinion; back them up with references or personal experience. If 'auto', use the current figure complicated layouts, like having one GridSpec in the left and one in the it. 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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