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In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. 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. dbc.Row dcc.markdown style margin b Set the figure size and adjust the padding between and around the subplots. (-0.5, numcols-0.5, numrows-0.5, -0.5). of pixel (0, 0). much lower than the overlap coefficient. A place where magic is studied and practiced? This may produce an arrow whose head is not square with its stem. How to Change Legend Font Size in Matplotlib? Origin If we want to change the origin ((0,0)) from upper to lower, we can set the value of origin parameter as lower.. cmap, vmin, vmax. Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Hide the Whitespaces and Borders in Matplotlib Figure, Kommunikation am Beispiel einer Kurzgeschichte, Lars Krsand, Untergrundarbeit, Rotate X-Axis Tick Label Text in Matplotlib, Add a Y-Axis Label to the Secondary Y-Axis in Matplotlib, Make a Square Plot With Equal Axes in Matplotlib. randomly scrambled image. co-occurrence versus correlation. See Artist.set_url. How to upgrade all Python packages with pip. 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? 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. The values are mapped to GitHub Skip to content All gists Back to GitHub Sign in Sign up Instantly share code, notes, and snippets. calling plt.show(), then everything Get the size of the data. colors using normalization and a colormap. 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. a new figure is displayed without ever In other words: the origin will coincide with the center of pixel (0, 0). How to change angle of 3D plot in Python? To learn more, see our tips on writing great answers. Radially displace pie chart wedge in Matplotlib, Three-dimensional Plotting in Python using Matplotlib, 3D Scatter Plotting in Python using Matplotlib, 3D Surface plotting in Python using Matplotlib, 3D Wireframe plotting in Python using Matplotlib, 3D Contour Plotting in Python using Matplotlib, Tri-Surface Plot in Python using Matplotlib, Surface plots and Contour plots in Python. widthfloat, default: 0.001 Width of full arrow tail. Manage Settings Tony_S_Yu3 November 28, 2011, 4:09pm #6. The first two dimensions (M, N) define the rows and columns of Increase the thickness of a line with Matplotlib. This parameter is particularly Pixels have unit size in data coordinates. 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. For origin == 'lower' the default is Using the Matplotlib Imshow Function. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. colocalization of two different image channels. The input may either be actual RGB(A) data, or 2D scalar data, which Can Martian regolith be easily melted with microwaves? Actually I personally rarely use categoricals, so let's look at the continuous case. How to Set Plot Background Color in Matplotlib? InputArraysrc8. left corner of the Axes. 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). and/or rcParams["image.interpolation"] (default: 'antialiased'). We then need to import the submodule pyplot, which contains the imshow function. Why is there a voltage on my HDMI and coaxial cables? case. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, How to mark cells in matplotlib.pyplot.imshow (drawing cell borders), How Intuit democratizes AI development across teams through reusability. PythonOpenCV . As we can see that we have got the desired matrix, but the colors are not adequate. rev2023.3.3.43278. Set the figure sizes in inches. See If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. OutputArraydst . Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. the image. Use multiple columns in a Matplotlib legend. matplotlib python . every pixel to see the relationship between them. filter function must produce a graph of the proper shape. What sort of strategies would a medieval military use against a fantasy giant? 'equal': Ensures an aspect ratio of 1. plt.show() displays the figure (and enters the main loop of whatever gui backend you're using). Premultiplied (associated) alpha: R, G, and B channels represent channel: Straight (unassociated) alpha: R, G, and B channels represent the correlation coefficient like Spearmans But now I want to mark a specific cell, in order to focus the reader on that cell. If interpolation is 'none', then no interpolation is performed If interpolation is the default 'antialiased', then 'nearest' Share Follow edited Jul 8, 2015 at 11:27 Find centralized, trusted content and collaborate around the technologies you use most. 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. and assume that whatever is not in the nucleus is in the cytoplasm. And for a completely transparent image, use 0. Below is the Implementation: Example 1: In this example, we will Pass an edgecolor = 'Black' value as the edge color parameter to plt.hist () to change the bar border color. Moreover, the imshow method is also famous for the OpenCV module to show the images. We make use of First and third party cookies to improve our user experience. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Image antialiasing). the image is resampled because the displayed image size will usually To view the purposes they believe they have legitimate interest for, or to object to this data processing use the vendor list link below. matshow Plot a matrix or an array as an image. The normalization method used to scale scalar data to the [0, 1] range We can change it using the origin parameter. We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave() method. Normally plot the data. (-0.5, numcols-0.5, -0.5, numrows-0.5). non-square pixels. 'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite', Pixels will be square columns-1 horizontally and from 0 to rows-1 vertically. If I call plt.show() prior to calling plt.imshow(i), then an error results. when interpolation is one of: 'sinc', 'lanczos' or 'blackman'. corresponds to the concentration of that protein - with larger areas Using Kolmogorov complexity to measure difficulty of problems? test.png I use matplotlib to read it and plot. See the origin and extent in imshow tutorial for 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? Using imshow () method, display data as an image. Let us consider the following figure in which we have to hide the axis. Just start a new figure plt.figure(), or close the previous one plt.close(). 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. We can make this image more or less transparent using the alpha parameter. Download ZIP. used, mapping the lowest value to 0 and the highest to 1. How to animate 3D Graph using Matplotlib? Set the url of the created AxesImage. How to determine a Python variable's type? plt.imshow() draws an image on the current figure (creating a figure if there isn't a current figure). What is a word for the arcane equivalent of a monastery? Is it possible to create a concave light? 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 applied (visual interpolation). interpolation is used to act as an anti-aliasing filter, unless the 2. python matplotlib imshowplt.imshow (x_train [0])plt.imshow (x_train [0])plt.show () python matplotlib python matplotlib importimport osfrom PIL import Imageimport matplot. In this image, while there are a lot of protein A spots within the nucleus How to add a border around a NumPy array? Set xticks and yticks using set_xticks and set_yticks method. To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). How to Create Different Subplot Sizes in Matplotlib? This tutorial shows how to display and explore image data. Suraj Joshi is a backend software engineer at Matrice.ai. be used to compare the MCC value of the original image with that of the For example, I want to show test.png picture. 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. a discussion of image antialiasing. The filter radius for filters that have a radius parameter, i.e. 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 (.) Try to run the programs on your side and let us know if you have any queries. Draw the left-half, right-half, or full arrow. An example by adding a black border "constant_values=0": How to plot two histograms together in Matplotlib? Get the axes instance that contains most of the figure element. matplotlib Border Removal.ipynb. MNIST 76 1 . Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. The range is 0-1. After you have successfully installed matplotlib library, use the below code to use the imshow function. Put a rectangle at the position of the pixel you want to highlight. Suraj Joshi is a backend software engineer at Matrice.ai. coordinates using extent). If 'rgba', the If I call plt.show() prior to calling indicating more protein. works perfectly. Interpolations for imshow Python Programming Foundation -Self Paced Course, Replace missing white spaces in a string with the least frequent character using Pandas. 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. Co-occurence: What proportion of a substance is localized to a particular How to set the spacing between subplots in Matplotlib in Python? MetPy Mondays #121 - What's the difference between imshow, pcolor, and pcolormesh? Cmap This parameter is used to give colors to non-colored images. Notes Unless extent is used, pixel centers will be located at integer coordinates. 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. The x and y coordinates of the arrow base. You can be more creative and use these concepts to create more cool images. How To Annotate Bars in Barplot with Matplotlib in Python? We will better understand when we look at an example. So, let us use numpy to create a numpy array consisting of two numbers 0 and 1. A scale name, i.e. As the resolution of images are usually too small to This can be in the form of lists or array. This array consists of the points. The image is stretched individually along x and y to fill the box. Click here jklymak July 29, 2022, 7:44pm #2 This is because bbox_inches="tight" doesn't know about the line width. If the upsampling rate is 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. These parameters are passed on to the constructor of the How To Adjust Position of Axis Labels in Matplotlib? Imagine that we are trying to determine the subcellular localization of a doi: https://doi.org/10.1242/jcs.211847. How to delete only one row in CSV with Python. See there for further details. How to Set Tick Labels Font Size in Matplotlib? How to Annotate Bars in Grouped Barplot in Python? Let us now show an already existing image using imshow. If the image is already colored, the cmap parameter is ignored. 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. Use error bars in a Matplotlib scatter plot, Plotting Histogram in Python using Matplotlib. create an arrow whose head is square with its stem, How to print and connect to printer using flutter desktop via usb? norm: This function is used to normalize the data. The resampling can be controlled via the interpolation parameter The alpha blending value, between 0 (transparent) and 1 (opaque). We and our partners use cookies to Store and/or access information on a device. Is it correct to use "the" before "materials used in making buildings are"? LeCun 98 LeNet-5 MNIST MC . To remove white border when using subplot and imshow (), we can take the following steps . doesn't do anything with the source floating point values, it Axes.set_aspect. list of available scales, call matplotlib.scale.get_scale_names(). Image antialiasing for (unless pixel sizes are explicitly made non-square in data Create random data points using numpy. {'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.

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