Difference between program and application. Cannot cover the plot title with text in Matplotlib? import matplotlib.pyplot as plt import pandas as pd # We create our dataframe df = pd.DataFrame(index=range(0,10), data={"col1" : range(0,10)}) fig, axes = plt.subplots(1,1, figsize=(8,6)) # We do a line plot on the axes axes.plot(df.index, df["col1"]) # Adding the title to the plot axes.set_title("My amazing plot") # Fixing the layout to fit th. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, The future of collective knowledge sharing. Lets see how we can use this method to add a title, "Your Chart's Title" to your plot: We can see that the title is applied with Matplotlibs default values. Click here Theoretically can the Ackermann function be optimized? "center", and "right"), but is sometimes desirable to give a whole figure As an example: Any recommendations? Documentation can be found here. Asking for help, clarification, or responding to other answers. Line Plots with plotly.express. How to properly align two numbered equations? Is there an extra virgin olive brand produced in Spain, called "Clorlina"? If youre curious about the different rcParams that are available, you can print them using the plt.rcParams.keys() method. Get started with the official Dash docs and learn how to effortlessly style & deploy apps like this with Dash Enterprise. In the next section, youll learn how to add and style axis labels in a Matplotlib plot. 584), Statement from SO: June 5, 2023 Moderator Action, Starting the Prompt Design Site: A New Home in our Stack Exchange Neighborhood. Set automargin=True to allow the title to push the figure margins. How to use matplotlib tight layout with Figure? Required fields are marked *. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. We can easily control the font styling, sizing, and positioning using Matplotlib. Are there any MTG cards which test for first strike? By clicking Post Your Answer, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. It is possible to add more than one title to a chart: You can write mathematical expressions into your title as in this example: In the example below, a suptitle is added above the figure title. Is this divination-focused Warlock Patron, loosely based on the Fathomless Patron, balanced? are positioned above the Axes in the center, flush with the left Did UK hospital tell the police that a patient was not raped because the alleged attacker was transgender? acknowledge that you have read and understood our. That is why in this article, we will show you 15 ways to plot a line graph using python programming. Connect and share knowledge within a single location that is structured and easy to search. It is possible to control the position of title with the loc parameter. Any difference between \binom vs \choose? See https://plotly.com/python/reference/layout/ for more information! . Join now. Line 2: We import the numpy module. Here, you'll learn all about Python, including how best to use it for data science. Would A Green Abishai Be Considered A Lesser Devil Or A Greater Devil? Are there any MTG cards which test for first strike? With yref set to container, automargin=True expands the margins, but the title doesn't overlap with the plot area, tick labels, and axis titles. Intro to pyplot. Making statements based on opinion; back them up with references or personal experience. Parameters xlabel or position, optional Allows plotting of one column versus another. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Problem involving number of ways of moving bead. You can control the margin of plot title with the y parameter: This document is a work by Yan Holtz. . By default, the plot () function draws a line from point to point. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Plot a Line Plot in Matplotlib By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. I got it a long time ago from various SO posts. The available titles are positioned above the axes in the center, flush with the left edge, and flush with the right edge. Following steps were followed: Define the x-axis and corresponding y-axis values as lists. To change the style of plots being rendered, the new style needs . 584), Statement from SO: June 5, 2023 Moderator Action, Starting the Prompt Design Site: A New Home in our Stack Exchange Neighborhood. This function is useful to plot lines using DataFrame's values as coordinates. This is part of the incredible flexibility that Matplotlib offers. matplotlib.pyplot.title# matplotlib.pyplot. None (the default) and rcParams["axes.titley"] (default: None) is also None, y is You'll learn how to add a title, a subtitle, and axis labels to your plot and subplots. Syntax: matplotlib.pyplot.title(label, fontdict=None, loc=center, pad=None, **kwargs), fontdict = {fontsize: rcParams[axes.titlesize],fontweight : rcParams[axes.titleweight],verticalalignment: baseline,horizontalalignment: loc}. FigureBase.supylabel methods. Image by the author. To learn more, see our tips on writing great answers. This post aims to explain how to add a title to your python chart, and how to customise it. Connect and share knowledge within a single location that is structured and easy to search. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. How can I add a variable to plt.title? Total running time of the script: ( 0 minutes 3.335 seconds), Download Python source code: figure_title.py, Download Jupyter notebook: figure_title.ipynb. Adding a title to a Matplotlib plot is done using the .title() method. In the USA, is it legal for parents to take children to strip clubs? Is this resolved yet? px.bar(), https://plotly.com/python/reference/layout/. Matplotlib has extensive text support, including support for mathematical expressions, truetype support for raster and vector outputs, newline separated text with arbitrary rotations, and Unicode support. determined automatically to avoid decorators on the Axes. We can add axis titles using the following methods: Lets see how we can add and style axis labels in Matplotlib: Matplotlib also makes it very easy to add titles to Matplotlib subplots. This is what youll learn in the next section. r"whatever" )? Making statements based on opinion; back them up with references or personal experience. Not the answer you're looking for? For others, the title may be used to store meta-data, e.g. What does the editor mean by 'removing unnecessary macros' in a math research paper? You can also plot many lines by adding the points for the x- and y-axis for each line in the same plt.plot() function. Why do microcontrollers always need external CAN tranceiver? Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.. There's a similar question - but I can't make the solution proposed there work. Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Using code from @ https://pythonguides.com/add-text-to-plot-matplotlib/. A more streamlined alternative is fill("Some really really long long long title I really really need - and just can't - just can't - make it any - simply any - shorter - at all. Welcome to datagy.io! Use string formatting with the .format () method: plt.text (0.1, 2.8, "The gradient is {}, the intercept is {}".format (m, c)) Where m and c are the variables you want to substitute in. New line or line break in tab title for Dash Dash Python question justin13601 August 26, 2022, 7:13pm 1 Hello! The above program illustrates the use of label argument, fontsize key of the fontdict argument and color argument which is an extra parameter(due to **kwargs) which changes the color of the text. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. There is even an automatic solution that resizes based off of the figure! Matplotlib.pyplot.broken_barh() in Python, Matplotlib.pyplot.get_fignums() in Python, Matplotlib.pyplot.waitforbuttonpress() in Python, Matplotlib.pyplot.figimage() function in Python, Pandas AI: The Generative AI Python Library, Python for Kids - Fun Tutorial to Learn Python Programming, A-143, 9th Floor, Sovereign Corporate Tower, Sector-136, Noida, Uttar Pradesh - 201305, We use cookies to ensure you have the best browsing experience on our website. Switches in chain topology for ~40 devices. Controlling style of text and labels using a dictionary. Following a writer on his world famous fictional play about a grieving father who travels with his tech-obsessed family to small rural Asteroid City to compete in a junior stargazing event, only to have his world view disrupted forever. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. ", 30). Multi-line title with variable in matplotlib. Are there any MTG cards which test for first strike? Is it possible to make additional principal payments for IRS's payment plan installment agreement? How to add a variable to Python plt.title? I have a tabs component with the following tab titles: 1047123 10.3 KB I'd like to put " (All Patients)" and " (Single Patient)" on a separate line in the tabs title. I preferred to adapt @Adobe's solution in this way: Thanks for contributing an answer to Stack Overflow! Assignment of the label argument is the minimum requirement to display the title of a visualization. Matplotlib.pyplot.title () We can then use the regular title as a subtitle. Can you make an attack with a crossbow and then prepare a reaction attack using action surge without the crossbow expert feat? https://github.com/bokeh/bokeh/issues/994, The hardest part of building software is not coding, its requirements, The cofounder of Chef is cooking up a less painful DevOps (Ep. By using our site, you To run the app below, run pip install dash dash-daq, click "Download" to get the code and run python app.py. declval<_Xp(&)()>()() - what does this mean in the below context? Find centralized, trusted content and collaborate around the technologies you use most. . Pyplot provides a collection of related functions for a variety of plots. For some reason I can get this solution to work with plot.fig.suptitle('some text' '\n' 'more text ' '\n' 'more text' + str(a string), fontsize = 12) but not with another string added between the text lines plot.fig.suptitle('some text' '\n' 'more text' + str(a strig) '\n' 'more text ' + str(a string), fontsize = 12). gives: 1.000 + 1.000 = 2.000. Drawing contours of polar integral function. Is there an established system (intervals, total intake) for fueling over longer rides to avoid a drop in performance? How can I achieve a multiline title for a holoviews plot? Making statements based on opinion; back them up with references or personal experience. They can typically be used in much the same way Bar Plots can be used, though, they're more commonly used to keep track of changes over time. How to change the title size of a plot in pandas (matplotlib)? matplotlib.pyplot is a collection of command style functions that make matplotlib work like MATLAB. Question asks for a multi-line plot title. Plot Series or DataFrame as lines. For example, here's how to add a title to a boxplot: sns.boxplot(data=df, x='var1', y='var2').set(title='Title of Plot') To add an overall title to a seaborn facet plot, you can use the .suptitle () function. Using one-liners to generate basic plots in matplotlib is fairly simple, but skillfully commanding the remaining 98% of the library can be daunting. The character is valid for strings and characters only. You can directly write the variables like this in Python 3.6+ if you prefix the string with an f whcih denotes a formatted string literal: To subscribe to this RSS feed, copy and paste this URL into your RSS reader. In the following figure, we set the figure-wide font to Courier New in blue, and then override this for certain parts of the figure. How to set the global font, title, legend-entries, and axis-titles in python. Cannot cover the plot title with text in Matplotlib? docs.python.org/3/library/textwrap.html#textwrap.fill, GitHub: Text wrapping doesn't seem to work in jupyter notebook #10869, Matplotlib and Ipython-notebook: Displaying exactly the figure that will be saved, matplotlib.sourceforge.net/users/customizing.html, The hardest part of building software is not coding, its requirements, The cofounder of Chef is cooking up a less painful DevOps (Ep. 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Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. Note the fact that when overriding labels, the axes, legend title and hover labels reflect the specified labels automatically. '\n' works perfectly, but if you're using a raw string to avoid latex sequences being interpreted as an escape, it will be interpreted by python as '\' and 'n' instead of a newline. Plotly is a free and open-source graphing library for Python. 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, 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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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