object, or: in which case a Triangulation object will be created. Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness of all content. Can several CRTs be wired in parallel to one oscilloscope circuit? and/or rcParams["image.interpolation"] (default: 'antialiased'). See Stacked bar chart.. See there for further details. arrays are passed in, the default values for the strides will To place the legend for each curve or subplot adding label. A parameter for the antigrain image resize filter (see the At the end of this article, you will know how to use add_subplot() in matplotlib. image set up the colormapping using the parameters By default, the position of the Matplotlib color bar is on the right side. non-square pixels. when interpolation is one of: 'sinc', 'lanczos' or 'blackman'. the complete value range of the supplied data. a discussion of image antialiasing. # 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. You can plot the subplots by using the plot function of pyplot. that any sum of pixel weights must be equal to 1.0. Their centers are on The plot() function is used to draw points (markers) in a diagram.. By default, the plot() function draws a line from point to point.. import matplotlib.pyplot as plt fig, axes = plt.subplots(5, 2, sharex=True, sharey=True, figsize=(6,15)) # add a big axis, hide frame fig.add_subplot(111, frameon=False) # hide tick and tick label of the matplotlib.figure: axes creation, figure-level content. (M, N, 4): an image with RGBA values (0-1 float or 0-255 int), 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 This can lead to aliasing artifacts when one of "linear", "log", "symlog", "logit", etc. Python 3 figure subplot only shows one plot. Created using. When True, use a full resampling method. 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 add a new axes to it of type Axes3D: New in version 1.0.0: This approach is the preferred method of creating a 3D axes. Poly3DCollection. If we need to plot a line from (1, 3) result of a bugfix for version 1.1.0. The image is stretched individually along x and y to fill the box. where Z is the array of values to contour, one per point They are Artist for matplotlib to display a scale bar. Do bracers of armor stack with magic armor enhancements and special abilities? Supported array shapes are: (M, N): an image with scalar data. In this post, we will discuss one of the most used functions in matplotlib. Help us identify new roles for community members, Proposing a Community-Specific Closure Reason for non-English content, Plotly legend next to each subplot, Python. occurrence of the specified value. add_subplot When using the library you will typically create Figure and Axes objects and call their methods to add content and modify the appearance. relevant for images since it determines whether data pixels are MOSFET is getting very hot at high frequency PWM, PSE Advent Calendar 2022 (Day 11): The other side of Christmas. corrects only integers according to the rule of 1.0 which means coordinates using extent). Related course. Notes. The answer from Constantin is spot on but for more background this behavior is inherited from Matlab. on this position in plane normal to zdir. 'equal': Ensures an aspect ratio of 1. The Matlab behavior is explained in the Figure Setup - Displaying Multiple Plots per Figure section of the Matlab documentation.. subplot(m,n,i) breaks the figure window into an m-by-n matrix of small subplots and selects the ithe subplot for the current plot. the color of the pixel, adjusted for its opacity by multiplication. How do I put three reasons together in a sentence? See Complex and semantic figure composition for an example and full API documentation. doesn't do anything with the source floating point values, it By default, the colormap covers figure ax = fig. applied (visual interpolation). Does a 120cc engine burn 120cc of fuel a minute? Agree Event handling#. i.e. matplotlib.pyplot.yticks# matplotlib.pyplot. I've tried with plt.legend but it didn't work. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. A class which, when called, linearly normalizes data into the [0.0, 1.0] interval.. NoNorm ([vmin, vmax, clip]). The Colormap instance or registered colormap name used to map scalar data for an overview of the supported interpolation methods, and constrained_layout automatically adjusts subplots and decorations like legends and colorbars so that they fit in the figure window while still preserving, as best they can, the logical layout requested by the user.. constrained_layout is similar to tight_layout, but uses a constraint 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. Prior to version 1.0.0, the method of creating a 3D axes was To add legends in a subplot, we can take the following Steps . To learn more, see our tips on writing great answers. : Setting limits turns autoscaling off for the x-axis. See the origin and extent in imshow tutorial for Added in v2.0.0. contour(), The positional and keyword arguments are passed on to the image. Your email address will not be published. matplotlib.org/stable/tutorials/intermediate/legend_guide.html. Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. The arguments could be array-like or scalars, so long as they Which direction to use as z (x, y or z) Of course you can invoke legend after each subplot, but in my understanding you already knew that and were searching for a method for doing it at once. Display data as an image, i.e., on a 2D regular raster. either: where triangulation is a Triangulation to colors. The default extent is determined by the following conditions. margins (* margins, x = None, y = None, tight = True) [source] # Set or retrieve autoscaling margins. same length as, Whether or not to shade the scatter markers to give It is a scalar or an array of the resize filter is controlled by the parameter filternorm. Axes.set_aspect. Having multiple 3D plots in a single figure is the same Changed in version 1.1.0: The zdir and offset kwargs were added. The functions in Matplotlib make it work like MATLAB software. The legend position is fixed, however it seems to have a problem with the strings, because each letter is placed in a new line. This should install everything thats necessary. Calling this function with arguments is the pyplot equivalent of calling set_xlim on the current axes. Ready to optimize your JavaScript with Rust? may differ. Default is, Array row stride (step size), defaults to 1, Array column stride (step size), defaults to 1, Use at most this many rows, defaults to 50, Use at most this many columns, defaults to 50, An instance of Normalize to map values to colors, Whether to extend contour in 3D (default: False), The direction to use: x, y or z (default), If specified plot a projection of the contour You are reading an old version of the documentation (v2.0.2). the image is resampled because the displayed image size will usually the appearance of depth. All arguments are passed though. If given, this can be one of the following: An instance of Normalize or one of its subclasses For those using older versions of matplotlib, change normalizes integer values and corrects the rounding errors. are only used by default if in the classic mode. By default it will be colored in shades of a solid color, To install matplotlib, run the following command on your command prompt. sample the input data to generate the graph. API Reference#. Field. In this article, we are going to Change Legend Font Size in Matplotlib. The legend method in Matplotlib describes the elements in the plot. This has two advantages: the code you write will be more portable, and Matplotlib events are aware of things like data coordinate space and which axes the event Add text to the plot. the number of display pixels is at least Why is the eastern United States green if the wind moves from west to east? These arguments will determine at most how many evenly spaced Displaying different images with actual size in a Matplotlib subplot. antigrain documentation). W3Schools offers free online tutorials, references and exercises in all the major languages of the web. The image data. The rubber protection cover does not pass through the hole in the rim. (unless pixel sizes are explicitly made non-square in data Matplotlib is a library for creating interactive Data visualizations in Python. The function takes parameters for specifying points in the diagram. lines on this position in plane normal to zdir, If specified plot a projection of the filled contour The aspect ratio of the Axes. To add legends in a subplot, we can take the following Steps . and instantiated. by pixel, and alpha must have the same shape as X. See The inverse hyperbolic sine scale is approximately linear near the origin, but becomes resample when the output image is larger than the input image. Learn more, Setting active subplot using axes object in Matplotlib, Rotating axis text for each subplot in Matplotlib, Drawing multiple legends on the same axes in Matplotlib. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. figure ax = fig. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. (see next section) are provided. Last updated on May 10, 2017. Yes, it places the legend in the correct place. While using W3Schools, you agree to have read and accepted our, Required. Calling this function with arguments is the pyplot equivalent of calling Plot the curve on all the subplots(3), with different labels, colors. I hope you found this article helpful for understanding add_subplot() in matplotlib. 'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell', Pass no arguments to return the current values without modifying them. By using this website, you agree with our Cookies Policy. When using scalar data and no explicit norm, vmin and vmax define New in version 1.1.0: The feature demoed in the second contourf3d example was enabled as a 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. before mapping to colors using cmap. For displaying a grayscale figure (figsize = plt. Feel free to skip it if you have already installed matplotlib. Setting limits turns autoscaling off for the x-axis. How can I programmatically select a specific subplot in Matplotlib? of pixel (0, 0). colors using normalization and a colormap. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. but downward for 'upper'. Create a slice that starts at the end of the string, and moves backwards. If either is zero, then the input data is not sampled Any type (string, number, list, etc.). Adds an element at the specified position: pop() Removes the element at the specified position: remove() Removes the first item with the specified value: reverse() Reverses the order of the list: sort() Sorts the list We make use of First and third party cookies to improve our user experience. (M, N, 3): an image with RGB values (0-1 float or 0-255 int). Note that the direction of the vertical axis and thus the default An Axes3D object is created just like any other axes using This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing used as the z direction. list of available scales, call matplotlib.scale.get_scale_names(). 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. sample the input data to generate the graph. Other arguments are passed on to How to add a 3d subplot to a matplotlib figure? Interpolations for imshow How do you put this comprehensive legend at the bottom of the figure? AxesImage artist. subplots (nrows = 1, ncols = 1, *, sharex = False, sharey = False, squeeze = True, width_ratios = None, height_ratios = None, subplot_kw = None, gridspec_kw = None, ** fig_kw) [source] # Create a figure and a set of subplots. Returns: left, right. I would like to put legends inside each one of the subplots below. Will raise ValueError if both stride and count are Size in points^2. Get certifiedby completinga course today! will be rendered as a pseudocolor image. 3D line plot rather than a wireframe plot. The x coordinates of the left sides of the bars. they can be broadcast together. smaller than 3, or the image is downsampled, then 'hanning' If specified plot a projection of the contour lines on this position in plane normal to zdir: The positional and other keyword arguments are passed on to It is to be noted that fig.add_subplot(2, 2, 1) is equivalent to fig.add_subplot(221). Unless extent is used, pixel centers will be located at integer How do I set the figure title and axes labels font size? Place the [0, 0] index of the array in the upper left or lower For a 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. vmin/vmax when a norm instance is given (but using a str norm rev2022.12.11.43106. How to make IPython notebook matplotlib plot inline. Triangulation for a explanation of The first two dimensions (M, N) define the rows and columns of left corner of the Axes. These arguments will determine at most how many evenly spaced Z coordinate of bars, if one value is specified The position of a point depends on its two-dimensional value, where each value is a position on either the horizontal or vertical dimension. Sankey outline (an instance of PathPatch) flows. the data range that the colormap covers. First, lets see what a subplot actually means. A path, or a Python file-like object, or possibly some backend-dependent object such as matplotlib.backends.backend_pdf.PdfPages. is carried out on the data provided by the user. Pixels have unit size in data coordinates. All arguments are passed though. Adding custom labels to axes in a seaborn plot in Python, Plot logarithmic axes with matplotlib in Python, Copy elements of one vector to another in C++, Image Segmentation Using Color Spaces in OpenCV Python, Create a pie chart using Matplotlib in Python, How to Change font style in matplotlib Custom font. style. The position of the subplot described by one of. not match the size of X (see For the latest version see, Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012 - 2016 The Matplotlib development team. equivalent of calling get_xlim on the current axes. samples will be taken from the input data to generate the graph. All input parameters must be floats within the range [0, 1]. including transparency. Parameter 1 is an array containing the points on the x-axis.. Parameter 2 is an array containing the points on the y-axis.. Set the url of the created AxesImage. Keyword arguments are passed on to The values are mapped to columns-1 horizontally and from 0 to rows-1 vertically. Do non-Segwit nodes reject Segwit transactions with invalid signature? The convention (the default) 'upper' is 3D plots as subplots#. You might need to use this when theres is a need for you to show multiple plots at the same time. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. 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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