(unassociated) alpha representation. We begin by segmenting the nucleus of a sample image as described in another Because this is of specific interest. How to Set a Single Main Title for All the Subplots in Matplotlib? If 'rgba', the How to add legend to imshow() in Matplotlib? If you have questions Let us study everything in detail. This is ignored in the case of colored images. How to Set Plot Background Color in Matplotlib? imshow expects RGB images adopting the straight ax = plt.subplot (projection=ccrs.Robinson ()) (ds.isel (time= [0, 4, 8])).plot.imshow (robust=True, ax=ax, transform=ccrs.PlateCarree ()) antigrain documentation). Manage Settings coordinates. If alpha is an array, the alpha blending values are applied pixel make out individual proteins, they can clump together within one pixel, doi: https://doi.org/10.1242/jcs.211847. And for a completely transparent image, use 0. 131 (3): jcs211847. protein - is it located more in the nucleus or cytoplasm compared to a but downward for 'upper'. by pixel, and alpha must have the same shape as X. known as Manders Colocalization Coefficient. Hide Axis, Borders and White Spaces in Matplotlib, Visualization of Merge sort using Matplotlib, Visualization of Quick sort using Matplotlib, 3D Visualisation of Quick Sort using Matplotlib in Python, 3D Visualisation of Merge Sort using Matplotlib, 3D Visualisation of Insertion Sort using Matplotlib in Python. The range is 0-1. Add border around histogram bars. 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. Draw the left-half, right-half, or full arrow. 'sinc', 'lanczos', 'blackman'. the image. For displaying a grayscale How to Display an OpenCV image in Python with Matplotlib? a discussion of image antialiasing. GreyScale images can be visualized using a 2-Dimensional array, and colored images are displayed using a 3-Dimensional array. X It is the data that we want to display using imshow. The length of the arrow along x and y direction. i.e. used, mapping the lowest value to 0 and the highest to 1. image happens to be upsampled by exactly a factor of two or one. How to manually add a legend with a color box on a Matplotlib figure ? If you would like instead a logo or static image, use go.layout.Image as explained here. 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.. 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. rendering and that the default interpolation method they implement It saves the images without any axis, borders, and whitespaces using the savefig () method. interpolation is carried out after the colormapping has been How to remove the outline of a circle marker when using pyplot.plot in Matplotlib? However, if I close the first figure that gets opened, and then call plt.imshow(i), a new figure is displayed without ever calling plt.show(). A scale name, i.e. Now the origin starts from lower left. How to Annotate Bars in Grouped Barplot in Python? randomly scrambled image. Matlab imshow border . Display plot. If I call plt.show() prior to calling Sometimes the intensities are correlated but not in a linear way. We can also perform many different operations on the image using the variety of parameters of the imshow function. PythonOpenCV . The bounding box in data coordinates that the image will fill. Star 21. 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. Why does awk -F work for most letters, but not for the letter "t"? The protein, protein A, will be simulated as blobs and segmented. 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. acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Data Structure & Algorithm-Self Paced(C++/JAVA), Android App Development with Kotlin(Live), Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Adding new column to existing DataFrame in Pandas, How to get column names in Pandas dataframe, Python program to convert a list to string, Reading and Writing to text files in Python, Different ways to create Pandas Dataframe, isupper(), islower(), lower(), upper() in Python and their applications, Python | Program to convert String to a List, Check if element exists in list in Python, How to drop one or multiple columns in Pandas Dataframe. Use multiple columns in a Matplotlib legend. (see Colormap Normalization). plt.show() displays the figure (and enters the main loop of whatever gui backend you're using). The filter radius for filters that have a radius parameter, i.e. Set the figure size and adjust the padding between and around the subplots. In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. J Cell Sci 1 February 2018 Why do small African island nations perform better than African continental nations, considering democracy and human development? We can also visualize those images using the imshow function of the matplotlib library. matplotlib.axes.Axes.imshow () Function As we can see that we have got the desired matrix, but the colors are not adequate. In programming, one is used for bright color, and 0 is used for dark/dull colors. One more important thing about this method is that the origin starts at the top left corner. Parameters: x, yfloat The x and y coordinates of the arrow base. To control? So, let us use numpy to . acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Data Structure & Algorithm-Self Paced(C++/JAVA), Android App Development with Kotlin(Live), Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam. to download the full example code or to run this example in your browser via Binder. Put a rectangle at the position of the pixel you want to highlight. use annotate() for example: Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. coordinates using extent). How to plot multiple Seaborn Jointplot in Subplot using Matplotlib? Using Matplotlib, we can represent both colored and black and white images. See Artist.set_url. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. How to add a legend to a scatter plot in Matplotlib ? the data range that the colormap covers. three times the size of the data array). We and our partners use cookies to Store and/or access information on a device. How to upgrade all Python packages with pip. create an arrow whose head is square with its stem, measure.manders_coloc_coeff(proteinA, nucleus_seg) 0.1254942609923002. By using our site, you before mapping to colors using cmap. So, let us use numpy to create a numpy array consisting of two numbers 0 and 1. Image antialiasing). The consent submitted will only be used for data processing originating from this website. Display data as an image, i.e., on a 2D regular raster. 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. Notes Unless extent is used, pixel centers will be located at integer coordinates. Additionally, the antigrain image The matplotlib.pyplot.imshow () function has only one required argument, and others are optional. First, we will generate protein B and plot intensities of the two proteins in Let us now show an already existing image using imshow. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. When using scalar data and no explicit norm, vmin and vmax define 'equal': Ensures an aspect ratio of 1. corresponds to the concentration of that protein - with larger areas Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, higlighting set of values in pcolor 3D plot. Normally plot the data. If interpolation is 'none', then no interpolation is performed We make use of First and third party cookies to improve our user experience. Interpolations for imshow LeCun 98 LeNet-5 MNIST MC . which can be set by filterrad. they are dim compared to some of the spots outside the nucleus, so the MCC is dx, dyfloat The length of the arrow along x and y direction. 2. Using Kolmogorov complexity to measure difficulty of problems? Approach: Import required module. Some interpolation methods require an additional radius parameter, Imagine that we are trying to determine the subcellular localization of a 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() 'auto': The Axes is kept fixed and the aspect is adjusted so This tutorial shows how to display and explore image data. for example, with from pylab import * delta = 0.025 x = y = arange(-3.0, 3.0, How to troubleshoot crashes detected by Google Play Store for Flutter app, Cupertino DateTime picker interfering with scroll behaviour. Use error bars in a Matplotlib scatter plot, Plotting Histogram in Python using Matplotlib. Suggest you turn that off siaimes July 30, 2022, 12:35am #3 To view the purposes they believe they have legitimate interest for, or to object to this data processing use the vendor list link below. for an overview of the supported interpolation methods, and Information about this method is given in [1]. We can clearly observe the change between the above two images. After you have successfully installed matplotlib library, use the below code to use the imshow function. There are a number of ways to accomplish this, but the one I use is to make the x and y axes invisible (gets rid of the ticks) and also make the spines invisible (gets rid of the lines). See there for further details. Creating a chessboard . Try to run the programs on your side and let us know if you have any queries. By using our site, you By default, a linear scaling is To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). When True, use a full resampling method. Therefore something like a border of this cell would be nice: Does someone know how to archive this with matplotlib in a convenient way? Get the axes instance that contains most of the figure element. This may produce an arrow whose head is not square with its stem. 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? For Grey images, it is a 2-D array, and for colored images, we use 3-D images. channel: Straight (unassociated) alpha: R, G, and B channels represent the a new figure is displayed without ever For origin == 'lower' the default is Set the url of the created AxesImage. Why is there a voltage on my HDMI and coaxial cables? User Input | Input () Function | Keyboard Input, Python Help Function | How to make use of Python Help. Set the figure sizes in inches. If the upsampling rate is True if head is to be counted in calculating the length. interpreted as data[s] (unless this raises an exception). Unless extent is used, pixel centers will be located at integer The image is stretched individually along x and y to fill the box. How to Hide Axis Text Ticks or Tick Labels in Matplotlib? To use the matplotlib library, we first need to install matplotlib using pip install matplotlib. be used to compare the MCC value of the original image with that of the 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. Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. How do I split a list into equally-sized chunks? This can lead to aliasing artifacts when I'm trying to plot a two-dimensional array in matplotlib using imshow(), and overlay it with a scatterplot on a second y axis. Tony_S_Yu3 November 28, 2011, 4:09pm #6. Can be negative or greater than one. There are two common representations for RGB images with an alpha Matplotlib How to set xticks and yticks with imshow plot? Not the answer you're looking for? Overlapping Histograms with Matplotlib in Python. This draws an arrow from (x, y) to (x+dx, y+dy). intensity of the protein channel is inside the nucleus. How to Turn Off the Axes for Subplots in Matplotlib? Set xticks and yticks using set_xticks and set_yticks method. 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', '. In other words: the origin will coincide with the center of pixel (0, 0). colors using normalization and a colormap. Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. will be rendered as a pseudocolor image. For drawing creative graphs, many times we hide x-axis & y-axis. And the instances of Axes supports callbacks through a callbacks attribute. We have to give the path of this image to the imread function. 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. correlation coefficient like Spearmans Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. The matplotlib.pyplot.axis(off) command us used to hide the axis(both x-axis & y-axis) in the matplotlib figure. This array consists of the points. You can be more creative and use these concepts to create more cool images. As the resolution of images are usually too small to In that case, a suitable Normalize subclass is dynamically generated Fork 3. might give a more accurate measure of the non-linear relationship in that and the dpi of the figure. Using the Matplotlib Imshow Function. Create data. The resulting arrow is affected by the Axes aspect ratio and limits. This draws an arrow from (x, y) to (x+dx, y+dy). floats (left, right, bottom, top), optional, 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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