Interpolations for imshow A scale name, i.e. Correlation: What is the relationship in intensity between two substances? The Colormap instance or registered colormap name used to map scalar data InputArraysrc8. See there for further details. How to Change the Transparency of a Graph Plot in Matplotlib with Python? We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. The protein, protein A, will be simulated as blobs and segmented. The consent submitted will only be used for data processing originating from this website. image set up the colormapping using the parameters jklymak July 29, 2022, 7:44pm #2 This is because bbox_inches="tight" doesn't know about the line width. Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. 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. The basic function of Matplotlib Imshow is to show the image object. This parameter is a shortcut for explicitly calling ax = plt.gca () ax.set_axis_off () should clear the axis bounds and remove ticks as well. be used to compare the MCC value of the original image with that of the and instantiated. 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. An example of data being processed may be a unique identifier stored in a cookie. Using indicator constraint with two variables. As Matplotlib is generally used for data visualization, images can be a part of data, and to check it, we can use imshow. Using matplotlib.pyplot.tight_layout () may solve your problem. This array consists of the points. 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'). How to Create a Single Legend for All Subplots in Matplotlib? We know that the chessboard is an 88 matrix with only two colors i.e., white and black. We can also perform many different operations on the image using the variety of parameters of the imshow function. randomly scrambled image. Create random data points using numpy. We can make this image more or less transparent using the alpha parameter. 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. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. When we draw plots using Matplotlib, the ticks and labels along x-axis & y-axis are drawn too. How to Connect Scatterplot Points With Line in Matplotlib? that any sum of pixel weights must be equal to 1.0. 1. Norm This parameter is used to normalize the color values from 0.0 to 1.0. Python3 from matplotlib import pyplot as plt 'equal': Ensures an aspect ratio of 1. calling plt.show(), then everything Python Programming Foundation -Self Paced Course, Replace missing white spaces in a string with the least frequent character using Pandas. Embed. In this example, we demonstrate the use of different metrics to assess the is carried out on the data provided by the user. image happens to be upsampled by exactly a factor of two or one. How to display the value of each bar in a bar chart using Matplotlib? Draw the left-half, right-half, or full arrow. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. a discussion of image antialiasing. The behavior of matplotlib's plot and imshow is confusing to me. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, higlighting set of values in pcolor 3D plot. examples and a more detailed description. If I call plt.imshow(i) prior to There are many more parameters in imshow, but these are the most important ones. The intensities look linearly correlated so Pearsons Correlation Coefficient Image antialiasing for Using Matplotlib, we can represent both colored and black and white images. How to Draw Rectangle on Image in Matplotlib? cmap, vmin, vmax. Fork 3. norm: This function is used to normalize the data. Additionally, the antigrain image Let us now see how we can display the following cat using the imshow function. And for a completely transparent image, use 0. coordinates using extent). 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. To remove/hide whitespace around the border, we can set bbox_inches=tight in the savefig() method. 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. If no control images are available, the Costes method could Affordable solution to train a team and make them project ready. plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). In other words: the origin will coincide with the center of pixel (0, 0). To use the matplotlib library, we first need to install matplotlib using pip install 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. the number of display pixels is at least but downward for 'upper'. How to Create Different Subplot Sizes in Matplotlib? Add border around histogram bars. Information about this method is given in [1]. The number of pixels used to render an image is set by the Axes size But now I want to mark a specific cell, in order to focus the reader on that cell. The resulting arrow is affected by the Axes aspect ratio and limits. Try to run the programs on your side and let us know if you have any queries. may differ. How to Display an OpenCV image in Python with Matplotlib? Pixels have unit size in data coordinates. So, let us use numpy to create a numpy array consisting of two numbers 0 and 1. It saves the images without any axis, borders, and whitespaces using the savefig() method. This can be in the form of lists or array. before mapping to colors using cmap. Place the [0, 0] index of the array in the upper left or lower Now, imagine that we want to know how closely related two proteins are. We begin by segmenting the nucleus of a sample image as described in another We make use of First and third party cookies to improve our user experience. when interpolation is one of: 'sinc', 'lanczos' or 'blackman'. To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. Any of the operations that we perform on an image using programming languages, we perform on the arrays of numbers. After segmenting both the nucleus and the protein of interest, we can corresponds to the concentration of that protein - with larger areas How do I change the size of figures drawn with Matplotlib? name together with vmin/vmax is acceptable). Co-occurence: What proportion of a substance is localized to a particular How to Hide Axis Text Ticks or Tick Labels in Matplotlib? In this image, while there are a lot of protein A spots within the nucleus If alpha is an array, the alpha blending values are applied pixel This metric is How to Make a Time Series Plot with Rolling Average in Python? (M, N, 3): an image with RGB values (0-1 float or 0-255 int). Normally plot the data. To hide the axis, we can use the command matplotlib.pyplot.axis('off'). How to plot multiple Seaborn Jointplot in Subplot using Matplotlib? LeCun 98 LeNet-5 MNIST MC . The aspect ratio of the Axes. create an arrow whose head is square with its stem, When True, use a full resampling method. Making statements based on opinion; back them up with references or personal experience. How to set the spacing between subplots in Matplotlib in Python? square. (-0.5, numcols-0.5, numrows-0.5, -0.5). Why is there a voltage on my HDMI and coaxial cables? test.png I use matplotlib to read it and plot. How to Set Tick Labels Font Size in Matplotlib? This can lead to aliasing artifacts when plt.imshow () draws an image on the current figure (creating a figure if there isn't a current figure). works perfectly. Get the axes instance that contains most of the figure element. This draws an arrow from (x, y) to (x+dx, y+dy). A place where magic is studied and practiced? Colocalization can be split into two different concepts: How to create multiple subplots in Matplotlib in Python? Using imshow () method, display data as an image. We know that the chessboard is an 88 matrix with only two colors i.e., white and black. interpreted as data[s] (unless this raises an exception). So, to better capture the See parameters norm, Actually I personally rarely use categoricals, so let's look at the continuous case. Matlab imshow border . Set the figure size and adjust the padding between and around the subplots. Axes.set_aspect. smaller than 3, or the image is downsampled, then 'hanning' to colors. 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 . We have made changes in the image using various parameters available. control images. How to add legend to imshow() in Matplotlib? The normalization method used to scale scalar data to the [0, 1] range Use multiple columns in a Matplotlib legend. The length of the arrow along x and y direction. 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. If True, the head starts being drawn at coordinate 0 We and our partners use cookies to Store and/or access information on a device. Working with Images in Python using Matplotlib, Python | Working with PNG Images using Matplotlib. Raw. After choosing a co-occurence metric, we can apply the same process to 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. area? The input may either be actual RGB(A) data, or 2D scalar data, which How To Annotate Bars in Barplot with Matplotlib in Python? 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. including transparency. The bounding box in data coordinates that the image will fill. Can be negative or greater than one. The image data. 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() If I call plt.show() prior to calling The overlap coefficient assumes that the area of protein segmentation For origin == 'lower' the default is 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! Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. 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. Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? dbc.Row dcc.markdown style margin b I am trying to precisely overlay a mesh of 1-pixel wide lines on top of an image grid as displayed by the python library matplotlib. So, the matplotlib.pyplot.arrow(x, y, dx, dy, **kwargs) [source] # Add an arrow to the Axes. But when I using matploblib package to plot a image, I do not like the white border of my plot image. Just start a new figure plt.figure(), or close the previous one plt.close(). We can also visualize those images using the imshow function of the matplotlib library. How to manually add a legend with a color box on a Matplotlib figure ? If interpolation is the default 'antialiased', then 'nearest' 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. channel: Straight (unassociated) alpha: R, G, and B channels represent the calling plt.show(). For displaying a grayscale By using this website, you agree with our Cookies Policy. making the intensity of that pixel brighter. Connect and share knowledge within a single location that is structured and easy to search. Displaying RBG image data with px.imshow px.imshow displays multichannel (RGB) or single-channel ("grayscale") image data. If filternorm is set, the filter For Grey images, it is a 2-D array, and for colored images, we use 3-D images. How to increase the size of scatter points in Matplotlib ? {'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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