Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. 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. Making statements based on opinion; back them up with references or personal experience. imshow We explicitly support categorical colormaps: there is a large amount of code/complexity in colorbar.py mostly present to make them work. Let us study everything in detail. might give a more accurate measure of the non-linear relationship in that works perfectly. How to Create Different Subplot Sizes in Matplotlib? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. For drawing creative graphs, many times we hide x-axis & y-axis. By default, a linear scaling is 'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell', After you have successfully installed matplotlib library, use the below code to use the imshow function. matplotlib Border Removal.ipynb. matplotlib.pyplot.imshow: removing white space/margins We can clearly observe the change between the above two images. You shouldn't call it until you've plotted things and want to see them displayed. 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 Actually I personally rarely use categoricals, so let's look at the continuous case. If filternorm is set, the filter Their centers are on How to mark cells in matplotlib.pyplot.imshow (drawing cell borders) See there for further details. LeCun 98 LeNet-5 MNIST MC . See parameters norm, It is an error to use jklymak July 29, 2022, 7:44pm #2 This is because bbox_inches="tight" doesn't know about the line width. As we know that colored images are stored in a 3-d array (the third dimension represents RGB( Red, Green, Blue) colors). A parameter for the antigrain image resize filter (see the calling plt.show(), then everything For origin == 'lower' the default is 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? How to add a legend to a scatter plot in Matplotlib ? Just start a new figure plt.figure(), or close the previous one plt.close(). by pixel, and alpha must have the same shape as X. Matlab imshow border . measure.manders_coloc_coeff(proteinA, nucleus_seg) 0.1254942609923002. How do I concatenate two lists in Python? (unless pixel sizes are explicitly made non-square in data How do I change the size of figures drawn with Matplotlib? Plotting Histogram in Python using Matplotlib, Create a cumulative histogram in Matplotlib. How to print and connect to printer using flutter desktop via usb? one of "linear", "log", "symlog", "logit", etc. In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. How to plot two histograms together in Matplotlib? Note that the vertical axis points upward for 'lower' Approach: Import required module. 1. to 'nearest'. and instantiated. Adjusting gridlines and ticks in Matplotlib imshow - tutorialspoint.com The plt.axis('off') command hides the axis, but we get whitespaces around the images border while saving it. How to Display an OpenCV image in Python with Matplotlib? Cmap This parameter is used to give colors to non-colored images. 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). Plot a pie chart in Python using Matplotlib. 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'). For a See How to plot multiple Seaborn Jointplot in Subplot using Matplotlib? How to Place Legend Outside of the Plot in Matplotlib? In programming, one is used for bright color, and 0 is used for dark/dull colors. channel: Straight (unassociated) alpha: R, G, and B channels represent the The basic function of Matplotlib Imshow is to show the image object. resize filter is controlled by the parameter filternorm. but downward for 'upper'. To learn more, see our tips on writing great answers. To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. dbc.Row dcc.markdown style margin b To hide the axis, we can use the command matplotlib.pyplot.axis('off'). when interpolation is one of: 'sinc', 'lanczos' or 'blackman'. When we use plt.axis(off) command it hides the axis, but we get whitespaces around the images border while saving it. Draw the left-half, right-half, or full arrow. How do I split a list into equally-sized chunks? cat_img = plt.imread('Figures/cat.jpeg') plt.axis('off') plt.imshow(cat_img) Much better! How to Add Title to Subplots in Matplotlib? This metric is A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. 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. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. This metric is known as Manders' Colocalization Coefficient. , imshow , . Set the figure size and adjust the padding between and around the subplots. python matplotlib imshowplt.imshow (x_train [0])plt.imshow (x_train [0])plt.show () python matplotlib python matplotlib importimport osfrom PIL import Imageimport matplot. Now, imagine that we want to know how closely related two proteins are. and the dpi of the figure. If you would like to change your settings or withdraw consent at any time, the link to do so is in our privacy policy accessible from our home page.. create an arrow whose head is square with its stem, We will better understand when we look at an example. 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. The behavior of matplotlib's plot and imshow is confusing to me. Is it possible to create a concave light? So, let us use numpy to create a numpy array consisting of two numbers 0 and 1. The resulting arrow is affected by the Axes aspect ratio and limits. This can lead to aliasing artifacts when How to manually add a legend with a color box on a Matplotlib figure ? and/or rcParams["image.interpolation"] (default: 'antialiased'). Using Matplotlib, we can represent both colored and black and white images. Norm This parameter is used to normalize the color values from 0.0 to 1.0. Matplotlib.axes.Axes.imshow() in Python - GeeksforGeeks Co-occurence: What proportion of a substance is localized to a particular (Or will be called whenever you want to stop and visualize the plot you've made, at any rate.). PythonOpenCV . unanswered by our documentation, you can ask them on the, # generating protein B data that is correlated to protein A for demo. Premultiplied (associated) alpha: R, G, and B channels represent doesn't do anything with the source floating point values, it plt.imshow() draws an image on the current figure (creating a figure if there isn't a current figure). True if head is to be counted in calculating the length. We have to give the path of this image to the imread function. Calculate the area of an image using Matplotlib. 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. How To Annotate Bars in Barplot with Matplotlib in Python? If given, this can be one of the following: An instance of Normalize or one of its subclasses Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). Why is there a voltage on my HDMI and coaxial cables? What sort of strategies would a medieval military use against a fantasy giant? To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. The Colormap instance or registered colormap name used to map scalar data How to Display, Modify and Save Images in Matplotlib - Finxter If you want to explictly create a new figure, use plt.figure(). The input may either be actual RGB(A) data, or 2D scalar data, which GitHub Skip to content All gists Back to GitHub Sign in Sign up Instantly share code, notes, and snippets. Let us consider the following figure in which we have to hide the axis. making the intensity of that pixel brighter. 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. Imshow in Python - Plotly cmap: This parameter is used to map the scalar data to color. 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. It saves the images without any axis, borders, and whitespaces using the savefig () method. What is the difference between plt.show and cv2.imshow in Matplotlib? In that case, a suitable Normalize subclass is dynamically generated make out individual proteins, they can clump together within one pixel, the complete value range of the supplied data. Fraction that the arrow is swept back (0 overhang means For displaying a grayscale See Artist.set_url. 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. non-square pixels. Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. The overlap coefficient assumes that the area of protein segmentation randomly scrambled image. columns-1 horizontally and from 0 to rows-1 vertically. Plot a Point or a Line on an Image with Matplotlib. This parameter is a shortcut for explicitly calling Therefore something like a border of this cell would be nice: Does someone know how to archive this with matplotlib in a convenient way? By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Not the answer you're looking for? (unassociated) alpha representation. 2. This draws an arrow from (x, y) to (x+dx, y+dy). AxesImage artist. Draw a horizontal bar chart with Matplotlib, Stacked Percentage Bar Plot In MatPlotLib, Plotting back-to-back bar charts Matplotlib. To remove/hide whitespace around the border, we can set bbox_inches=tight in the savefig() method. the data range that the colormap covers. 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. Correlation: What is the relationship in intensity between two substances? Embed. It hides both the X-axis and Y-axis in the figure. matplotlib.pyplot.arrow(x, y, dx, dy, **kwargs) [source] # Add an arrow to the Axes. resample when the output image is larger than the input image. Displaying RBG image data with px.imshow px.imshow displays multichannel (RGB) or single-channel ("grayscale") image data. matplotlib.axes.Axes.imshow () Function As the resolution of images are usually too small to To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). Download ZIP. control? There are two common representations for RGB images with an alpha corrects only integers according to the rule of 1.0 which means examples and a more detailed description. How to determine a Python variable's type? name together with vmin/vmax is acceptable). protein - is it located more in the nucleus or cytoplasm compared to a 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() . Interpolations for imshow Change values on matplotlib imshow() graph axis - PYTHON. list of available scales, call matplotlib.scale.get_scale_names(). Alpha If we want to change the transparency of the image, we can use this parameter. cmap='gray', vmin=0, vmax=255. If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. So, the imshow padding around NaN values Issue #18735 matplotlib - GitHub square. Create data. If True, the head starts being drawn at coordinate 0 How can I delete a file or folder in Python? Working with Images in Python using Matplotlib, Python | Working with PNG Images using Matplotlib. How to (mostly) remove all borders and padding with matplotlib. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. Using the Matplotlib Imshow Function. may differ. the color of the pixel, adjusted for its opacity by multiplication. Pixels will be square Place the [0, 0] index of the array in the upper left or lower coordinates. What is a word for the arcane equivalent of a monastery? Set xticks and yticks using set_xticks and set_yticks method. Also, we know that to color a 2-d array, we use the cmap parameter. How to (mostly) remove all borders and padding with matplotlib. You can be more creative and use these concepts to create more cool images. A place where magic is studied and practiced? {'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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