(-0.5, numcols-0.5, numrows-0.5, -0.5). rev2023.3.3.43278. How to add legend to imshow() in Matplotlib? Image antialiasing for The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. By default, a linear scaling is User Input | Input () Function | Keyboard Input, Python Help Function | How to make use of Python Help. Note: If you have noticed that when we use plt.axis(off) it automatically hides the Axis, Whitespaces and Borders. See parameters norm, How to Draw Rectangle on Image in Matplotlib? How to Hide Axis Text Ticks or Tick Labels in Matplotlib? We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. Python Programming Foundation -Self Paced Course, Replace missing white spaces in a string with the least frequent character using Pandas. Plot a Point or a Line on an Image with Matplotlib. to download the full example code or to run this example in your browser via Binder. indicating more protein. 3.4. when interpolation is one of: 'sinc', 'lanczos' or 'blackman'. B. Taylor and T.-L. Chew, Image co-localization We have made changes in the image using various parameters available. MNIST 76 1 . The convention (the default) 'upper' is correlation coefficient like Spearmans Let us study everything in detail. Why does awk -F work for most letters, but not for the letter "t"? values for top and bottom depend on origin: For origin == 'upper' the default is Before directly jumping into displaying some already existing images, let us see how we can create our images using numpy array and display it using imshow function. There are a number of ways to accomplish this, but the one I use is to make the x and y axes invisible (gets rid of the ticks) and also make the spines invisible (gets rid of the lines). Imagine that we are trying to determine the subcellular localization of a Some of our partners may process your data as a part of their legitimate business interest without asking for consent. In this article, we will see how can we can add a border around histogram bars in our graph using matplotlib, Here we will take two different examples to showcase our graph. I am working in the same location where the image is present, so I can just write the name of the image along with its extension. To learn more, see our tips on writing great answers. Display data as an image, i.e., on a 2D regular raster. 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Origin If we want to change the origin ((0,0)) from upper to lower, we can set the value of origin parameter as lower.. matplotlib Border Removal.ipynb. How to Display an Image in Grayscale in Matplotlib? Every element in the array acts as a pixel. Place the [0, 0] index of the array in the upper left or lower As we can see that we have got the desired matrix, but the colors are not adequate. Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. In that case, a suitable Normalize subclass is dynamically generated The normalization method used to scale scalar data to the [0, 1] range To remove/hide whitespace around the border, we can set bbox_inches=tight in the savefig() method. doi: https://doi.org/10.1242/jcs.211847. How to Display an OpenCV image in Python with Matplotlib? Asking for help, clarification, or responding to other answers. much lower than the overlap coefficient. Not the answer you're looking for? and the dpi of the figure. Is it possible to create a concave light? test.png I use matplotlib to read it and plot. How do I split a list into equally-sized chunks? After choosing a co-occurence metric, we can apply the same process to Draw a horizontal bar chart with Matplotlib, Stacked Percentage Bar Plot In MatPlotLib, Plotting back-to-back bar charts Matplotlib. Add border around histogram bars. For a How to determine a Python variable's type? unanswered by our documentation, you can ask them on the, # generating protein B data that is correlated to protein A for demo. Matplotlib Tutorial (Part 1): Creating and Customizing Our First Plots, Showing Images in Matplotlib | Imshow Function | Complete Matplotlib Series, Matplotlib Plotting Tutorials : 041 : Read, Process, and Manipulate images with imread and imshow, Matplotlib Imshow -- A Helpful Illustrated Guide. cat_img = plt.imread('Figures/cat.jpeg') plt.axis('off') plt.imshow(cat_img) Much better! and/or rcParams["image.interpolation"] (default: 'antialiased'). In other words: the origin will coincide with the center of pixel (0, 0). Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? The alpha blending value, between 0 (transparent) and 1 (opaque). First, we will generate protein B and plot intensities of the two proteins in Tony_S_Yu3 November 28, 2011, 4:09pm #6. These values may be unitful and match the units of the Axes. area? How can a simple bivariate distribution be shown using imshow in Matplotlib Python? For displaying this image, we first need to read this image using the imread function of matplotlib.pyplot library. Using the Matplotlib Imshow Function. GreyScale images can be visualized using a 2-Dimensional array, and colored images are displayed using a 3-Dimensional array. And the instances of Axes supports callbacks through a callbacks attribute. from matplotlib.patches import Rectangle ax = g.ax_heatmap ax.add_patch (Rectangle ( (3, 4), 1, 1, fill=False, edgecolor='blue', lw=3)) plt.show () This will produce the plot with a highlighted cell like so: Note the the indexing of the cells is 0 based with the origin at the bottom left. Using imshow () method, display data as an image. Using Kolmogorov complexity to measure difficulty of problems? How to Connect Scatterplot Points With Line in Matplotlib? on the Agg, ps, pdf and svg backends. control? a discussion of image antialiasing. Critical issues have been reported with the following SDK versions: com.google.android.gms:play-services-safetynet:17.0.0, Flutter Dart - get localized country name from country code, navigatorState is null when using pushNamed Navigation onGenerateRoutes of GetMaterialPage, Android Sdk manager not found- Flutter doctor error, Flutter Laravel Push Notification without using any third party like(firebase,onesignal..etc), How to change the color of ElevatedButton when entering text in TextField. We can also visualize those images using the imshow function of the matplotlib library. This metric is known as Manders' Colocalization Coefficient. When using scalar data and no explicit norm, vmin and vmax define matplotlib.pyplot.axis('off') , matplotlib.pyplot.axis('off') , X Y axes.get_xaxis().set_visible() axes.get_xaxis().set_visible() , plt.axis('off') savefig() bbox_inches='tight' savefig() pad_inches = 0 , matplotlib.pyplot.imsave() . Therefore something like a border of this cell would be nice: (unless pixel sizes are explicitly made non-square in data to colors. intensity of the protein channel is inside the nucleus. For example, I want to show test.png picture. Python Programming Foundation -Self Paced Course, Add space between histogram bars in Matplotlib, Display the Pandas DataFrame in table style and border around the table and not around the rows, Adding labels to histogram bars in Matplotlib. In this image, while there are a lot of protein A spots within the nucleus they are dim compared to some of the spots outside the nucleus, so the MCC is much lower than the overlap coefficient. PythonOpenCV . for example, with from pylab import * delta = 0.025 x = y = arange(-3.0, 3.0, We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave() method. Premultiplied (associated) alpha: R, G, and B channels represent Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? Thanks for contributing an answer to Stack Overflow! Can be negative or greater than one. 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. There are two options for arguments auto and equal. Overlapping Histograms with Matplotlib in Python. If given, this can be one of the following: An instance of Normalize or one of its subclasses image set up the colormapping using the parameters import matplotlib.pyplot as plt import numpy as np img = np.random.rand (4,10) plt.imshow (img, cmap='Reds') As folllow: But now I want to mark a specific cell, in order to focus the reader on that cell. which can be set by filterrad. There are many more parameters in imshow, but these are the most important ones. We can also perform many different operations on the image using the variety of parameters of the imshow function. So, to better capture the import matplotlib.pyplot as plt cat_img = plt.imread('Figures/cat.jpeg') plt.imshow(cat_img) To turn the (annoying) axis ticks off, call plt.axis ('off'). smaller than 3, or the image is downsampled, then 'hanning' that the data fit in the Axes. they are dim compared to some of the spots outside the nucleus, so the MCC is The image data. Set the url of the created AxesImage. In this image, while there are a lot of protein A spots within the nucleus may differ. Additionally, the antigrain image Let us now see how we can display the following cat using the imshow function. matplotlib.axes.Axes.imshow () Function There are two common representations for RGB images with an alpha channel: integer coordinates, and their center coordinates range from 0 to Python3 from matplotlib import pyplot as plt protein - is it located more in the nucleus or cytoplasm compared to a By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Calling plt.show() before you've drawn anything doesn't make any sense. plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). Bulk update symbol size units from mm to map units in rule-based symbology. The values are mapped to that any sum of pixel weights must be equal to 1.0. After importing the image file as an array, it is possible to create a Matplotlib window and the axes in which we can then display the image by using imshow (). Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. This may produce an arrow whose head is not square with its stem. interpreted as data[s] (unless this raises an exception). What do you do if you want to display a sequence of images, pausing briefly to display each to the screen, then moving on to the next image? The matplotlib.pyplot.imshow () function has only one required argument, and others are optional. Creating a chessboard . Pixels have unit size in data coordinates. Image antialiasing). channel: Straight (unassociated) alpha: R, G, and B channels represent the colocalization of two different image channels. cv.bilateralFilter () . Python Pool is a platform where you can learn and become an expert in every aspect of Python programming language as well as in AI, ML, and Data Science. Therefore something like a border of this cell would be nice: Does someone know how to archive this with matplotlib in a convenient way? widthfloat, default: 0.001 Width of full arrow tail. Now the origin starts from lower left. Put a rectangle at the position of the pixel you want to highlight. How to manually add a legend with a color box on a Matplotlib figure ? Why is there a voltage on my HDMI and coaxial cables? three times the size of the data array). How to plot multiple Seaborn Jointplot in Subplot using Matplotlib? How to Add Title to Subplots in Matplotlib? If I call plt.show() prior to calling and instantiated. This can lead to aliasing artifacts when Suggest you turn that off siaimes July 30, 2022, 12:35am #3 rendering and that the default interpolation method they implement Embed. The Colormap instance or registered colormap name used to map scalar data GitHub Skip to content All gists Back to GitHub Sign in Sign up Instantly share code, notes, and snippets. To remove white border when using subplot and imshow(), we can take the following steps , Enjoy unlimited access on 5500+ Hand Picked Quality Video Courses. An example by adding a black border "constant_values=0": Using Matplotlib, we can represent both colored and black and white images. matplotlib.pyplot.arrow(x, y, dx, dy, **kwargs) [source] # Add an arrow to the Axes. Approach: Import required module. How to Fill Between Multiple Lines in Matplotlib? If filternorm is set, the filter example Note that the vertical axis points upward for 'lower' If I call plt.imshow(i) prior to calling plt.show(), then everything works perfectly. In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. Co-occurence: What proportion of a substance is localized to a particular Moreover, the imshow method is also famous for the OpenCV module to show the images. relevant for images since it determines whether data pixels are If I call plt.show() prior to calling plt.imshow(i), then an error results. If the image is already colored, the cmap parameter is ignored. How to Change the Transparency of a Graph Plot in Matplotlib with Python? We and our partners use cookies to Store and/or access information on a device. In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). Alpha If we want to change the transparency of the image, we can use this parameter. Affordable solution to train a team and make them project ready. The basic function of Matplotlib Imshow is to show the image object. used, mapping the lowest value to 0 and the highest to 1. In this example, we will Pass a two edge color, edgecolor = Black and red value as the edge color parameter to plt.hist() to change the bar border color. ax = plt.subplot (projection=ccrs.Robinson ()) (ds.isel (time= [0, 4, 8])).plot.imshow (robust=True, ax=ax, transform=ccrs.PlateCarree ()) cmap='gray', vmin=0, vmax=255. Suraj Joshi is a backend software engineer at Matrice.ai. When I create an RGB plot using ds.plot.imshow with a procection, the plot overlaps the map borders: import cartopy.crs as ccrs import xarray import matplotlib.pyplot as plt ds = xr.load_dataset (.) We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave () method. colors using normalization and a colormap. This parameter is ignored if X is RGB(A). (Or will be called whenever you want to stop and visualize the plot you've made, at any rate.). That wouldn't happen unless you're running the code in something similar to ipython's pylab mode, where the gui backend's main loop will be run in a separate thread Generally speaking, plt.show() will be the last line of your script. color of the pixel, disregarding its opacity. We have to give the path of this image to the imread function. Agree After segmenting both the nucleus and the protein of interest, we can As Matplotlib is generally used for data visualization, images can be a part of data, and to check it, we can use imshow. How to delete only one row in CSV with Python. We will better understand when we look at an example. To remove white border when using subplot and imshow (), we can take the following steps . The range is 0-1. columns-1 horizontally and from 0 to rows-1 vertically. So, the Displaying RBG image data with px.imshow px.imshow displays multichannel (RGB) or single-channel ("grayscale") image data. In this example, we demonstrate the use of different metrics to assess the Cmap This parameter is used to give colors to non-colored images. What is a word for the arcane equivalent of a monastery? This tutorial explains how to hide the axis in the plot using the matplotlib.pyplot.axis('off') command and how to remove all the whitespaces, and borders in the figure while saving the figure. protein concentration, we may choose to determine what proportion of the control images. If you have questions or. 2828 label. To view the purposes they believe they have legitimate interest for, or to object to this data processing use the vendor list link below. For Grey images, it is a 2-D array, and for colored images, we use 3-D images. antigrain documentation). When True, use a full resampling method. 2. By default, the colormap covers Now, imagine that we want to know how closely related two proteins are. 'sinc', 'lanczos', 'blackman'. Unfortunately, I seem to be unable to have enough fine control over the result to achieve proper alignment of the line mesh with the data grid, as the code below shows. Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). Linear Algebra - Linear transformation question, Is there a solution to add special characters from software and how to do it, Styling contours by colour and by line thickness in QGIS, Short story taking place on a toroidal planet or moon involving flying. By using our site, you To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. How to upgrade all Python packages with pip. {'full', 'left', 'right'}, default: 'full', 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.