Where does the idea of selling dragon parts come from? matplotlib.figure: axes creation, figure-level content. same length as, Whether or not to shade the scatter markers to give Can several CRTs be wired in parallel to one oscilloscope circuit? See Artist.set_url. The values are mapped to Triangulation for a explanation of This should install everything thats necessary. Three integers (nrows, ncols, index).The subplot will take the index position on a grid with nrows rows and ncols columns.index starts at 1 in the upper left corner and increases to the right.index can also be a two-tuple specifying the (first, last) indices (1 Supported values are 'none', 'antialiased', 'nearest', 'bilinear', See Complex and semantic figure composition for an example and full API documentation. Python 3 figure subplot only shows one plot. The default extent is determined by the following conditions. Raises a ValueError if both stride and count kwargs Pass no arguments to return the current values without modifying them. 'auto': The Axes is kept fixed and the aspect is adjusted so figure ax = fig. except for the zdir keyword, which sets the direction to be See If either is 0 image happens to be upsampled by exactly a factor of two or one. set_xlim on the current axes. Added in v2.0.0. a discussion of image antialiasing. typically used for matrices and images. interpreted as data[s] (unless this raises an exception). specified. coordinates. We can adjust the size of the figure containing the subplots in the matplotlib by specifying a list of two values against the figsize parameter in the matplotlib.pyplot.figure() function, where the 1st value specifies the width of the figure and the 2nd value specifies the height of the figure. Will raise ValueError If, on the other hand, you can be content with placing a comprehensive legend in the last subplot, you can do like this. Data Visualization with Matplotlib and Python; Scatterplot example Example: The functions in Matplotlib make it work like MATLAB software. In other words: the origin will coincide with the center Not the answer you're looking for? Create a new matplotlib.figure.Figure and add a new axes to it of type Axes3D: import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt. A visual layout of how you want your Axes to be arranged labeled as strings. i.e. smaller than 3, or the image is downsampled, then 'hanning' in the triangulation. equivalent of calling get_xlim on the current axes. Import the package on your Python shell to check if it was installed correctly. To add legends in a subplot, we can take the following Steps . one of "linear", "log", "symlog", "logit", etc. Z coordinate of bars, if one value is specified W3Schools offers free online tutorials, references and exercises in all the major languages of the web. if both stride and count are used. Size in points^2. used, mapping the lowest value to 0 and the highest to 1. used as the z direction. # adjust the right leaving left unchanged, # adjust the left leaving right unchanged, 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.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.CbarAxes, 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.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.CbarAxes, 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.clip_path.clip_line_to_rect, 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.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. Create a figure and a set of subplots, using the subplots() method, considering 3 subplots. It is a scalar or an array of the However, a short description of the installation is provided. now superseded by rcount and ccount. How can I programmatically select a specific subplot in Matplotlib? Will raise ValueError if both stride and count are (unless pixel sizes are explicitly made non-square in data result in a 100x100 grid being plotted. that corresponding quiver element will not be plotted. z value(s), either one for all points or one for They are While using W3Schools, you agree to have read and accepted our, Required. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, For the strings issue: try using the label keyword in the, When strings become their individual letters, it's because Python treats strings as sequences of letters. Calling this function with no arguments (e.g. Related course. sample the input data to generate the graph. Description. Is it possible to hide or delete the new Toolbar in 13.1? Thanks!The only problem is, it puts each letter in one line. Image antialiasing for This should install everything thats necessary. See The bounding box in data coordinates that the image will fill. You might need to use this when theres is a need for you to show multiple plots at the same time. To add legends in a subplot, we can take the following Steps . Your email address will not be published. The axes3d present in Matplotlibs mpl_toolkits.mplot3d toolkit provides the necessary functions used to create 3D surface plots.Surface plots are created by using ax.plot_surface() function. they will all be placed at the same z. figaspect (0.5)) # ===== # First subplot # ===== # set up the axes for the first plot ax = fig. When False, only arrays are passed in, the default values for the strides will including transparency. Artist for matplotlib to display a scale bar. Matplotlib supports event handling with a GUI neutral event model, so you can connect to Matplotlib events without knowledge of what user interface Matplotlib will ultimately be plugged in to. For a A class which, when called, linearly normalizes data into the [0.0, 1.0] interval.. NoNorm ([vmin, vmax, clip]). There are two common representations for RGB images with an alpha Some interpolation methods require an additional radius parameter, The inverse hyperbolic sine scale is approximately linear near the origin, but becomes along this direction, producing a 3D line plot rather than a If interpolation is the default 'antialiased', then 'nearest' Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. In that case, a suitable Normalize subclass is dynamically generated figure (figsize = plt. Prior to version 1.0.0, the method of creating a 3D axes was Returns: left, right. on this position in plane normal to zdir. The arguments can also be lines on this position in plane normal to zdir, If specified plot a projection of the filled contour The legend method in Matplotlib describes the elements in the plot. argument. that any sum of pixel weights must be equal to 1.0. W3Schools offers free online tutorials, references and exercises in all the major languages of the web. (-0.5, numcols-0.5, -0.5, numrows-0.5). How do I change the size of figures drawn with Matplotlib? The 'original' position is the position allocated for the Axes. Displaying different images with actual size in a Matplotlib subplot. not match the size of X (see (M, N, 4): an image with RGBA values (0-1 float or 0-255 int), Your email address will not be published. Having multiple 3D plots in a single figure is the same coordinates using extent). Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. to 'nearest'. which can be set by filterrad. contour(), The positional and keyword arguments are passed on to The rubber protection cover does not pass through the hole in the rim. Created using. A scatter plot is a type of plot that shows the data as a collection of points. If given, all parameters also accept a string s, which is To display the figure, use the show()method. Using numpy, create points for x, y1, y2 and y3. Place the [0, 0] index of the array in the upper left or lower Demonstrate including 3D plots as subplots. Notes. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. Syntax: Agree A parameter for the antigrain image resize filter (see the Additionally, the antigrain image Keyword arguments are passed on to Change the file position: seekable() Returns whether the file allows us to change the file position: tell() Returns the current file position: truncate() Resizes the file to a specified size: writable() Returns whether the file can be written to or not: write() Writes the specified string to The legend position is fixed, however it seems to have a problem with the strings, because each letter is placed in a new line. In general, this will result in To place the legend for each curve or subplot adding label. occurrence of the specified value. To install matplotlib, run the following command on your command prompt. A scale name, i.e. All arguments are passed though. (see Colormap Normalization). : Setting limits turns autoscaling off for the x-axis. Note: The index() method and the dpi of the figure. different. The plot() function is used to draw points (markers) in a diagram.. By default, the plot() function draws a line from point to point.. The 'active' position is the position the Axes is actually drawn at. Dummy replacement for Normalize, for the case where we want to use indices directly in a ScalarMappable.. AsinhNorm ([linear_width, vmin, vmax, clip]). The image data. list of available scales, call matplotlib.scale.get_scale_names(). Does a 120cc engine burn 120cc of fuel a minute? 3D line plot rather than a wireframe plot. Image antialiasing). What is the highest level 1 persuasion bonus you can have? rev2022.12.11.43106. matplotlib.axes: most plotting methods, Axes labels, access to axis styling, etc.. The element to search for. may differ. Example: We create a Figure fig and Axes ax.Then we call methods on them to plot data, add If 'rgba', the patch. What you want cannot be done, because plt.legend() places a legend in the current axes, in your case in the last one. A path, or a Python file-like object, or possibly some backend-dependent object such as matplotlib.backends.backend_pdf.PdfPages. If given, this can be one of the following: An instance of Normalize or one of its subclasses In this article, we are going to Change Legend Font Size in Matplotlib. Can virent/viret mean "green" in an adjectival sense? xlim()) is the pyplot imshow expects RGB images adopting the straight If specified plot a projection of the contour lines on this position in plane normal to zdir: All arguments are passed though. If format is set, it determines the output format, and the file is saved as fname.Note that fname is used verbatim, and there is no modifying the object and adding z coordinate information. For example Keyword arguments are passed on to antigrain documentation). In this example, we load a sample image from the matplotlib library, create a subplot, plot image, create scale bar and add scale bar as an "artist" of the subplot. (M, N, 3): an image with RGB values (0-1 float or 0-255 int). The Colormap instance or registered colormap name used to map scalar data Note that you pass to legend not the axes, as in your example code, but the lines as returned by the plot invocation. The position of the subplot described by one of. 2D collection types are converted to a 3D version by Feel free to skip it if you have already installed matplotlib. Yes, it places the legend in the correct place. Create a slice that starts at the end of the string, and moves backwards. Parameters: *args int, (int, int, index), or SubplotSpec, default: (1, 1, 1). Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. API Reference#. add_subplot How to change the font size on a matplotlib plot, Improve subplot size/spacing with many subplots, How to remove axis, legends, and white padding, Save plot to image file instead of displaying it using Matplotlib. Using numpy, create points for x, y1, y2 and y3. sorry to interrupt, but may i confirm that the key that makes the position of the legend at the last plot are. applied (visual interpolation). MOSFET is getting very hot at high frequency PWM, PSE Advent Calendar 2022 (Day 11): The other side of Christmas. either: where triangulation is a Triangulation An Axes3D object is created just like any other axes using Remove white border when using subplot and imshow in Python Matplotlib. will be rendered as a pseudocolor image. If there is a need for you to be here, it is good to assume that you have already installed matplotlib on your machine. The resampling can be controlled via the interpolation parameter 3D plots as subplots#. Pixels have unit size in data coordinates. but downward for 'upper'. Plot the curve on all the subplots(3), with different labels, colors. How to add a 3d subplot to a matplotlib figure? style. This parameter is particularly (unassociated) alpha representation. Create a new matplotlib.figure.Figure and I would like to put legends inside each one of the subplots below. scatter(). We would like to show you a description here but the site wont allow us. Defaults to 10. values of the flows (positive for input, negative for output) angles. The add_subplot() has 3 arguments. Since I consider it relevant and elegant enough (no need to specify coordinates to place text), I copy (with a slight adaptation) an answer to another related question. Set the url of the created AxesImage. To install matplotlib, run the following command on your command prompt. The available output formats depend on the backend being used. floats (left, right, bottom, top), optional, 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.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.CbarAxes, 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.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.CbarAxes, 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.clip_path.clip_line_to_rect, 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.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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