Get the axes instance that contains most of the figure element. will be rendered as a pseudocolor image. a discussion of image antialiasing. Now the origin starts from lower left. 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. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Making statements based on opinion; back them up with references or personal experience. When we draw plots using Matplotlib, the ticks and labels along x-axis & y-axis are drawn too. Displaying RBG image data with px.imshow px.imshow displays multichannel (RGB) or single-channel ("grayscale") image data. image set up the colormapping using the parameters How to Change the Transparency of a Graph Plot in Matplotlib with Python? By default, the colormap covers Add border around histogram bars. Can Martian regolith be easily melted with microwaves? Display the data as an image, i.e., on a 2D regular raster. If you want to import an image and to display it in a Matplotlib window, the Matplotlib function imread () works perfectly. This can lead to aliasing artifacts when values for top and bottom depend on origin: For origin == 'upper' the default is This parameter is a shortcut for explicitly calling We have to give the path of this image to the imread function. Plot a pie chart in Python using Matplotlib. This parameter is ignored if X is RGB(A). How to Connect Scatterplot Points With Line in Matplotlib? Add perpendicular caps to error bars in Matplotlib. and assume that whatever is not in the nucleus is in the cytoplasm. Affordable solution to train a team and make them project ready. to download the full example code or to run this example in your browser via Binder. To learn more, see our tips on writing great answers. but downward for 'upper'. The plt.axis('off') command hides the axis, but we get whitespaces around the images border while saving it. Set the figure sizes in inches. cmap, vmin, vmax. matplotlib is a famous python plot package and most of user used it to process the image. for example, with from pylab import * delta = 0.025 x = y = arange(-3.0, 3.0, randomly scrambled image. We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave () method. The resulting arrow is affected by the Axes aspect ratio and limits. To view the purposes they believe they have legitimate interest for, or to object to this data processing use the vendor list link below. We can make this image more or less transparent using the alpha parameter. As we know that colored images are stored in a 3-d array (the third dimension represents RGB( Red, Green, Blue) colors). calling plt.show(). i.e. How to Place Legend Outside of the Plot in Matplotlib? matplotlib.axes.Axes.imshow () Function matshow Plot a matrix or an array as an image. Mutually exclusive execution using std::atomic? (unassociated) alpha representation. 3.4. cv.bilateralFilter () . to 'nearest'. Do you know that images are represented in the form of numbers in computer programming? By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. For a How to follow the signal when reading the schematic? Python3 from matplotlib import pyplot as plt 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. In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, higlighting set of values in pcolor 3D plot. J Cell Sci 1 February 2018 How To Annotate Bars in Barplot with Matplotlib in Python? Python Programming Foundation -Self Paced Course, Replace missing white spaces in a string with the least frequent character using Pandas. Is it correct to use "the" before "materials used in making buildings are"? GreyScale images can be visualized using a 2-Dimensional array, and colored images are displayed using a 3-Dimensional array. Fork 3. Why Is PNG file with Drop Shadow in Flutter Web App Grainy? determine what fraction of the protein A segmentation overlaps with the When we use plt.axis(off) command it hides the axis, but we get whitespaces around the images border while saving it. Raw. How to Set Plot Background Color in Matplotlib? Colocalization can be split into two different concepts: Cmap This parameter is used to give colors to non-colored images. colors using normalization and a colormap. , imshow , . Create random data points using numpy. Use error bars in a Matplotlib scatter plot, Plotting Histogram in Python using Matplotlib. If no control images are available, the Costes method could Linear Algebra - Linear transformation question, Is there a solution to add special characters from software and how to do it, Styling contours by colour and by line thickness in QGIS, Short story taking place on a toroidal planet or moon involving flying. Continue with Recommended Cookies. for an overview of the supported interpolation methods, and 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. For displaying a grayscale It saves the images without any axis, borders, and whitespaces using the savefig() method. Put a rectangle at the position of the pixel you want to highlight. Using indicator constraint with two variables. Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. How to Display an OpenCV image in Python with Matplotlib? If given, this can be one of the following: An instance of Normalize or one of its subclasses To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. Fraction that the arrow is swept back (0 overhang means It hides both the X-axis and Y-axis in the figure. How to determine a Python variable's type? Using the Matplotlib Imshow Function. We have studied how to show the images using a matplotlib imshow function. Note that the vertical axis points upward for 'lower' Supported array shapes are: (M, N): an image with scalar data. This is ignored in the case of colored images. 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. from matplotlib import image import matplotlib.pyplot as plt img = image.imread ("eiffel-tower.jpeg") plt.imshow (img) plt.show () print (img.shape) Add a frame to an image To add a frame/border to an image, a solution is to use numpy.pad. (-0.5, numcols-0.5, -0.5, numrows-0.5). How to set border for wedges in Matplotlib pie chart? MNIST 76 1 . Using Kolmogorov complexity to measure difficulty of problems? How to create a Scatter Plot with several colors in Matplotlib? Star 21. which can be set by filterrad. imshow expects RGB images adopting the straight Supported values are 'none', 'antialiased', 'nearest', 'bilinear', Pixels have unit size in data coordinates. cheatsheet scales basic plots version api api linear log any values values api tick locators api 756 432 2.510102101 0logit symlog quick start 765 1234567 If you would like instead a logo or static image, use go.layout.Image as explained here. How to Make a Time Series Plot with Rolling Average in Python? by pixel, and alpha must have the same shape as X. We can change it using the origin parameter. How to delete only one row in CSV with Python. How to plot multiple Seaborn Jointplot in Subplot using Matplotlib? InputArraysrc8. The x and y coordinates of the arrow base. resample when the output image is larger than the input image. x: This is the required argument. We then need to import the submodule pyplot, which contains the imshow function. In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). 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. If interpolation is the default 'antialiased', then 'nearest' Do new devs get fired if they can't solve a certain bug? How to Set Tick Labels Font Size in Matplotlib? works perfectly. 2. list of available scales, call matplotlib.scale.get_scale_names(). 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? How to Hide Axis Text Ticks or Tick Labels in Matplotlib? Set the figure size and adjust the padding between and around the subplots. may differ. In that case, a suitable Normalize subclass is dynamically generated You can be more creative and use these concepts to create more cool images. What sort of strategies would a medieval military use against a fantasy giant? The length of the arrow along x and y direction. 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', '. Try to run the programs on your side and let us know if you have any queries. Note that the direction of the vertical axis and thus the default triangular shape). By using this website, you agree with our Cookies Policy. cat_img = plt.imread('Figures/cat.jpeg') plt.axis('off') plt.imshow(cat_img) Much better! How to Draw Rectangle on Image in Matplotlib? 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 The matplotlib.pyplot.axis(off) command us used to hide the axis(both x-axis & y-axis) in the matplotlib figure. This draws an arrow from (x, y) to (x+dx, y+dy). including transparency. True if head is to be counted in calculating the length. plt.imshow() draws an image on the current figure (creating a figure if there isn't a current figure). The normalization method used to scale scalar data to the [0, 1] range After you have successfully installed matplotlib library, use the below code to use the imshow function. make out individual proteins, they can clump together within one pixel, To remove/hide whitespace around the border, we can set bbox_inches=tight in the savefig() method. Share Follow edited Jul 8, 2015 at 11:27 We can also perform many different operations on the image using the variety of parameters of the imshow function. Use multiple columns in a Matplotlib legend. Can be negative or greater than one. There are two options for arguments auto and equal. First, we will generate protein B and plot intensities of the two proteins in corrects only integers according to the rule of 1.0 which means plt.show() displays the figure (and enters the main loop of whatever gui backend you're using). How to remove the first and last ticks label of each Y-axis subplot in Matplotlib? Moreover, the imshow method is also famous for the OpenCV module to show the images. Alpha If we want to change the transparency of the image, we can use this parameter. cmap: This parameter is used to map the scalar data to color. import numpy as np import matplotlib.pyplot as plt img = np.random.randn(100,100) plt.imsave("kapal.png",img) Author: Suraj Joshi Premultiplied (associated) alpha: R, G, and B channels represent from matplotlib.patches import Rectangle ax = g.ax_heatmap ax.add_patch (Rectangle ( (3, 4), 1, 1, fill=False, edgecolor='blue', lw=3)) plt.show () This will produce the plot with a highlighted cell like so: Note the the indexing of the cells is 0 based with the origin at the bottom left. Code Revisions 5 Stars 21 Forks 3. 131 (3): jcs211847. might give a more accurate measure of the non-linear relationship in that The number of pixels used to render an image is set by the Axes size 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? smaller than 3, or the image is downsampled, then 'hanning' As we can see that we have got the desired matrix, but the colors are not adequate. Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. If 'data', interpolation By using our site, you Let us consider the following figure in which we have to hide the axis. Is it possible to create a concave light? 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If given, all parameters also accept a string s, which is 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 . interpolation is used if the image is upsampled by more than a interpolation is used to act as an anti-aliasing filter, unless the And for a completely transparent image, use 0. 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). 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. In other words: the origin will coincide with the center of pixel (0, 0). This array consists of the points. Manage Settings Why do small African island nations perform better than African continental nations, considering democracy and human development? To hide the axis, we can use the command matplotlib.pyplot.axis('off'). the color of the pixel, adjusted for its opacity by multiplication. Approach: Import required module. 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.