matplotlib imshow border matplotlib imshow border

How to Connect Scatterplot Points With Line in Matplotlib? Their centers are on You'd have to call show() at some point, but if you do, then you can't execute the rest of the code to display the next image. they are dim compared to some of the spots outside the nucleus, so the MCC is 131 (3): jcs211847. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Draw the left-half, right-half, or full arrow. three times the size of the data array). widthfloat, default: 0.001 Width of full arrow tail. We make use of First and third party cookies to improve our user experience. Code Revisions 5 Stars 21 Forks 3. B. Taylor and T.-L. Chew, Image co-localization coordinates. matplotlib Border Removal.ipynb. Matplotlib Matplotlib matplotlib.pyplot.axis ('off') Matplotlib matplotlib.pyplot.axis ('off') import numpy as np import matplotlib.pyplot as plt img = np.random.randn(10,10) plt.imshow(img) plt.axis('off') plt.show() Suraj Joshi is a backend software engineer at Matrice.ai. Fork 3. How to add legend to imshow() in Matplotlib? How to add a border around a NumPy array? and the dpi of the figure. Matplotlib is a library in python that is built over the numpy library and is used to represent different plots, graphs, and images using numbers. indicating more protein. Pixels have unit size in data coordinates. interpolation is used to act as an anti-aliasing filter, unless the X It is the data that we want to display using imshow. The results show that the image's border is twice as small as the grid, the problem is how to make them the same width? This metric is Set the figure size and adjust the padding between and around the subplots. How to Change Legend Font Size in Matplotlib? GitHub Skip to content All gists Back to GitHub Sign in Sign up Instantly share code, notes, and snippets. the color of the pixel, adjusted for its opacity by multiplication. We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. 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. resize filter is controlled by the parameter filternorm. Using Matplotlib, we can represent both colored and black and white images. So, let us use numpy to create a numpy array consisting of two numbers 0 and 1. If True, the head starts being drawn at coordinate 0 User Input | Input () Function | Keyboard Input, Python Help Function | How to make use of Python Help. Remove or adapt the border of the frame of legend using matplotlib. 3.4. If given, all parameters also accept a string s, which is Python3 from matplotlib import pyplot as plt How to Set Tick Labels Font Size in Matplotlib? (Or will be called whenever you want to stop and visualize the plot you've made, at any rate.). coordinates using extent). 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. and assume that whatever is not in the nucleus is in the cytoplasm. color of the pixel, disregarding its opacity. Why do small African island nations perform better than African continental nations, considering democracy and human development? 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. For Grey images, it is a 2-D array, and for colored images, we use 3-D images. How to create a Scatter Plot with several colors in Matplotlib? 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. instead of ending at coordinate 0. a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image, CapStyle or {'butt', 'projecting', 'round'}, {'/', '\', '|', '-', '+', 'x', 'o', 'O', '. import matplotlib.pyplot as plt import numpy as np data = np.random.rand (8, 8) plt.imshow (data, origin='lower', interpolation='None', aspect='equal') plt.axis ('off') plt.tight_layout () plt.show () Share Improve this answer Follow answered Feb 16, 2022 at 21:44 arthropode i.e. 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. Set the url of the created AxesImage. The Colormap instance or registered colormap name used to map scalar data Note that the vertical axis points upward for 'lower' So, to better capture the Let us consider the following figure in which we have to hide the axis. Try to run the programs on your side and let us know if you have any queries. but downward for 'upper'. This draws an arrow from (x, y) to (x+dx, y+dy). the complete value range of the supplied data. Find centralized, trusted content and collaborate around the technologies you use most. How to (mostly) remove all borders and padding with matplotlib. 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. After segmenting both the nucleus and the protein of interest, we can Set the figure size and adjust the padding between and around the subplots. Total running time of the script: ( 0 minutes 0.481 seconds), Download Python source code: plot_colocalization_metrics.py, Download Jupyter notebook: plot_colocalization_metrics.ipynb, We hope that this example was useful. If I call plt.imshow(i) prior to colors using normalization and a colormap. How to remove the first and last ticks label of each Y-axis subplot in Matplotlib? Calling plt.show() before you've drawn anything doesn't make any sense. zhou13 / imshow-nomargin.py Last active yesterday Star 2 Fork 0 Code Revisions 2 Stars 2 Embed Download ZIP matplotlib.pyplot.imshow without margin Raw imshow-nomargin.py Plot a pie chart in Python using Matplotlib. Image antialiasing). MetPy Mondays #121 - What's the difference between imshow, pcolor, and pcolormesh? What is the difference between plt.show and cv2.imshow in Matplotlib? Note that the direction of the vertical axis and thus the default To hide the axis, we can use the command matplotlib.pyplot.axis('off'). How to Set Plot Background Color in Matplotlib? Aspect This parameter is used to adjust the size of images. 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. 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. How To Annotate Bars in Barplot with Matplotlib in Python? If you have questions The values are mapped to calling plt.show(). The basic function of Matplotlib Imshow is to show the image object. Share Follow edited Jul 8, 2015 at 11:27 GreyScale images can be visualized using a 2-Dimensional array, and colored images are displayed using a 3-Dimensional array. applied (visual interpolation). A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. To use the matplotlib library, we first need to install matplotlib using pip install matplotlib. J Cell Sci 1 February 2018 Matplotlib How to set xticks and yticks with imshow plot? typically used for matrices and images. oneDim = np.array([0.5,1,2.5,3.7]) twoDim = np.random.rand(8,4) plt.figure() ax1 = plt.gca() ax1.imshow(twoDim, cmap='Purples', interpolation='nearest') ax1.set_xticks(np.arange(0,twoDim.shape[1],1)) ax1.set_yticks(np.arange(0,twoDim.shape[0],1)) ax1.set_yticklabels(np . The image data. Why is there a voltage on my HDMI and coaxial cables? Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. An example by adding a black border "constant_values=0": How to animate 3D Graph using Matplotlib? How to increase the size of scatter points 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. Plotting Histogram in Python using Matplotlib, Create a cumulative histogram in Matplotlib. Sometimes the intensities are correlated but not in a linear way. left corner of the Axes. works perfectly. We can also visualize those images using the imshow function of the matplotlib library. We can also perform many different operations on the image using the variety of parameters of the imshow function. And the instances of Axes supports callbacks through a callbacks attribute. Use error bars in a Matplotlib scatter plot, Plotting Histogram in Python using Matplotlib. Mutually exclusive execution using std::atomic? Every element in the array acts as a pixel. How to Turn Off the Axes for Subplots in Matplotlib? image happens to be upsampled by exactly a factor of two or one. Matplotlib.axis.Axis.get_minorticklines() function in Python, Matplotlib.axis.Axis.set_figure() function in Python, Matplotlib.axis.Axis.remove_overlapping_locs() function in Python, Matplotlib.axis.Axis.set_tick_params() in Python, Matplotlib.axis.Axis.get_figure() function in Python, Matplotlib.axis.Axis.cla() function in Python, Matplotlib.axis.Axis.get_major_locator() function in Python, Matplotlib.axis.Axis.get_major_formatter() function in Python. So, let us use numpy to . See there for further details. ', '*'}, {'-', '--', '-. Do you know that images are represented in the form of numbers in computer programming? My code is GPL licensed, can I issue a license to have my code be distributed in a specific MIT licensed project? Axes.set_aspect. Using the Matplotlib Imshow Function. The image is stretched individually along x and y to fill the box. make out individual proteins, they can clump together within one pixel, If no control images are available, the Costes method could We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave() method. factor of three (i.e. For origin == 'lower' the default is cat_img = plt.imread('Figures/cat.jpeg') plt.axis('off') plt.imshow(cat_img) Much better! How do I concatenate two lists in Python? Flutter change focus color and icon color but not works. How do I change the size of figures drawn with Matplotlib? Display data as an image, i.e., on a 2D regular raster. How to manually add a legend with a color box on a Matplotlib figure ? cmap: This parameter is used to map the scalar data to color. Defining a discrete colormap for imshow in Matplotlib. The overlap coefficient assumes that the area of protein segmentation 'sinc', 'lanczos', 'blackman'. 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. It hides both the X-axis and Y-axis in the figure. Let us now show an already existing image using imshow. Set the figure sizes in inches. channel: Straight (unassociated) alpha: R, G, and B channels represent the How to Create a Single Legend for All Subplots in Matplotlib? The bounding box in data coordinates that the image will fill. See We have studied how to show the images using a matplotlib imshow function. Making statements based on opinion; back them up with references or personal experience. and/or rcParams["image.interpolation"] (default: 'antialiased'). rev2023.3.3.43278. Actually I personally rarely use categoricals, so let's look at the continuous case. As the resolution of images are usually too small to A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. This parameter is a shortcut for explicitly calling python matplotlib imshowplt.imshow (x_train [0])plt.imshow (x_train [0])plt.show () python matplotlib python matplotlib importimport osfrom PIL import Imageimport matplot. a new figure is displayed without ever See the origin and extent in imshow tutorial for How to change angle of 3D plot in Python? calling plt.show(), then everything not match the size of X (see Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. randomly scrambled image. Pixels will be square Is it correct to use "the" before "materials used in making buildings are"? If we just want to turn either the X-axis or Y-axis off, we can use axes.get_xaxis().set_visible() or axes.get_xaxis().set_visible() method respectively. Correlation: What is the relationship in intensity between two substances? The resulting arrow is affected by the Axes aspect ratio and limits. Add perpendicular caps to error bars in Matplotlib. norm: This function is used to normalize the data. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. As we can see that we have got the desired matrix, but the colors are not adequate. If you would like instead a logo or static image, use go.layout.Image as explained here. Supported array shapes are: (M, N): an image with scalar data. The resampling can be controlled via the interpolation parameter to 'nearest'. Continue with Recommended Cookies. 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. Alpha If we want to change the transparency of the image, we can use this parameter. If I call plt.imshow(i) prior to calling plt.show(), then everything works perfectly. A scale name, i.e. A place where magic is studied and practiced? unanswered by our documentation, you can ask them on the, # generating protein B data that is correlated to protein A for demo. every pixel to see the relationship between them. plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). We then need to import the submodule pyplot, which contains the imshow function. Get the size of the data. We can change it using the origin parameter. control? interpreted as data[s] (unless this raises an exception). The protein, protein A, will be simulated as blobs and segmented. the data range that the colormap covers. So, the correlation coefficient like Spearmans Let us study everything in detail. By using our site, you filter function must produce a graph of the proper shape. co-occurrence versus correlation. , imshow , . for an overview of the supported interpolation methods, and If 'data', interpolation 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. This may produce an arrow whose head is not square with its stem. integer coordinates, and their center coordinates range from 0 to We begin by segmenting the nucleus of a sample image as described in another test.png I use matplotlib to read it and plot. Get the axes instance that contains most of the figure element. How to delete only one row in CSV with Python. We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave () method. Use multiple columns in a Matplotlib legend. 'equal': Ensures an aspect ratio of 1. control images. rendering and that the default interpolation method they implement This parameter is ignored if X is RGB(A). For example, I want to show test.png picture. Approach: Import required module. Manage Settings How to remove the outline of a circle marker when using pyplot.plot in Matplotlib? To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). create an arrow whose head is square with its stem, If I call plt.show() prior to calling plt.imshow(i), then an error results. How to Place Legend Outside of the Plot in Matplotlib? plt.imshow(i), then an error results. If the upsampling rate is I'm trying to plot a two-dimensional array in matplotlib using imshow(), and overlay it with a scatterplot on a second y axis. non-square pixels. This can lead to aliasing artifacts when This draws an arrow from (x, y) to (x+dx, y+dy). J. S. Aaron, A. determine what fraction of the protein A segmentation overlaps with the ', ':', '', (offset, on-off-seq), }, (scale: float, length: float, randomness: float). This argument takes an array as a value. ax = plt.gca () ax.set_axis_off () should clear the axis bounds and remove ticks as well. Unless extent is used, pixel centers will be located at integer protein concentration, we may choose to determine what proportion of the In other words: the origin will coincide with the center of pixel (0, 0). The aspect ratio of the Axes. be used to compare the MCC value of the original image with that of the If I draw two images with imshow, then set_zorder for one of them to be higher than the other, should that one be the one that displays? relevant for images since it determines whether data pixels are plt.imshow () draws an image on the current figure (creating a figure if there isn't a current figure). x: This is the required argument. Display plot. But now I want to mark a specific cell, in order to focus the reader on that cell. that the data fit in the Axes. Because this is of specific interest. After you have successfully installed matplotlib library, use the below code to use the imshow function. If given, this can be one of the following: An instance of Normalize or one of its subclasses Using matplotlib.pyplot.tight_layout () may solve your problem. If filternorm is set, the filter Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Agree Some of our partners may process your data as a part of their legitimate business interest without asking for consent. You shouldn't call it until you've plotted things and want to see them displayed. How to Create Different Subplot Sizes in Matplotlib? When True, use a full resampling method. area? or. image set up the colormapping using the parameters Click here And for a completely transparent image, use 0. when interpolation is one of: 'sinc', 'lanczos' or 'blackman'. Why does awk -F work for most letters, but not for the letter "t"? (-0.5, numcols-0.5, -0.5, numrows-0.5). 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Bulk update symbol size units from mm to map units in rule-based symbology. A rank-based How to troubleshoot crashes detected by Google Play Store for Flutter app, Cupertino DateTime picker interfering with scroll behaviour. You shouldn't call it until you've plotted things and want to see them displayed. For drawing creative graphs, many times we hide x-axis & y-axis. The consent submitted will only be used for data processing originating from this website. An example of data being processed may be a unique identifier stored in a cookie. {'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, 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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.