Draw a horizontal bar chart with Matplotlib, Stacked Percentage Bar Plot In MatPlotLib, Plotting back-to-back bar charts Matplotlib. test.png I use matplotlib to read it and plot. including transparency. interpolation is used to act as an anti-aliasing filter, unless the What is a word for the arcane equivalent of a monastery? The consent submitted will only be used for data processing originating from this website. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. corresponds to the concentration of that protein - with larger areas A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. Plot a pie chart in Python using Matplotlib. If you have questions by pixel, and alpha must have the same shape as X. Information about this method is given in [1]. Any of the operations that we perform on an image using programming languages, we perform on the arrays of numbers. Matplotlib cheatsheet - Cheat sheet Version 3. Quick start API import This parameter is ignored if X is RGB(A). To view the purposes they believe they have legitimate interest for, or to object to this data processing use the vendor list link below. How to manually add a legend with a color box on a Matplotlib figure ? [Solved][Python] How to Remove with borders when drawing in matplotlib The image is stretched individually along x and y to fill the box. cv.bilateralFilter () . Unfortunately, I seem to be unable to have enough fine control over the result to achieve proper alignment of the line mesh with the data grid, as the code below shows. Flutter change focus color and icon color but not works. plt.imshow() draws an image on the current figure (creating a figure if there isn't a current figure). Let us now see how we can display the following cat using the imshow function. An example of data being processed may be a unique identifier stored in a cookie. How to Hide Axis Text Ticks or Tick Labels in Matplotlib? color of the pixel, disregarding its opacity. If I call plt.imshow(i) prior to Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? This tutorial shows how to display and explore image data. 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After choosing a co-occurence metric, we can apply the same process to 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. In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. Supported values are 'none', 'antialiased', 'nearest', 'bilinear', Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Display the data as an image, i.e., on a 2D regular raster. Python 3MatplotLibOpenCV Python3 from matplotlib import pyplot as plt You shouldn't call it until you've plotted things and want to see them displayed. 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. Display data as an image, i.e., on a 2D regular raster. Why is there a voltage on my HDMI and coaxial cables? Can be negative or greater than one. There are two options for arguments auto and equal. To remove white border when using subplot and imshow (), we can take the following steps . matplotlib Border Removal.ipynb. Matplotlib.axes.Axes.imshow() in Python - GeeksforGeeks 131 (3): jcs211847. and assume that whatever is not in the nucleus is in the cytoplasm. AxesImage artist. How do I split a list into equally-sized chunks? For example, I want to show test.png picture. What is the difference between plt.show and cv2.imshow in Matplotlib? cat_img = plt.imread('Figures/cat.jpeg') plt.axis('off') plt.imshow(cat_img) Much better! image happens to be upsampled by exactly a factor of two or one. If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. Do new devs get fired if they can't solve a certain bug? Mutually exclusive execution using std::atomic? In programming, one is used for bright color, and 0 is used for dark/dull colors. 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. (M, N, 4): an image with RGBA values (0-1 float or 0-255 int), Matlab imshow border . When we use plt.axis(off) command it hides the axis, but we get whitespaces around the images border while saving it. The plt.axis('off') command hides the axis, but we get whitespaces around the images border while saving it. Change values on matplotlib imshow() graph axis - PYTHON. In that case, a suitable Normalize subclass is dynamically generated Correlation: What is the relationship in intensity between two substances? By default, the colormap covers making the intensity of that pixel brighter. If 'rgba', the Therefore something like a border of this cell would be nice: interpolation is used if the image is upsampled by more than a the number of display pixels is at least Calling plt.show() before you've drawn anything doesn't make any sense. Image antialiasing for To hide the axis, we can use the command matplotlib.pyplot.axis('off'). Now the origin starts from lower left. cmap: This parameter is used to map the scalar data to color. 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. How Change the vertical spacing between legend entries in Matplotlib? This array consists of the points. Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. GitHub Skip to content All gists Back to GitHub Sign in Sign up Instantly share code, notes, and snippets. Imshow in Python - Plotly Hide Axis, Borders and White Spaces in Matplotlib To remove/hide whitespace around the border, we can set bbox_inches=tight in the savefig() method. Matplotlib Imshow A Helpful Illustrated Guide - Finxter Python Programming Foundation -Self Paced Course, Replace missing white spaces in a string with the least frequent character using Pandas. Fork 3. is carried out on the data provided by the user. The length of the arrow along x and y direction. How to create multiple subplots in Matplotlib in Python? So, let us use numpy to . How to remove the first and last ticks label of each Y-axis subplot in Matplotlib? Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). How to make grid and border equal width - Matplotlib We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. the data range that the colormap covers. 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.. correlation coefficient like Spearmans See parameters norm, plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). may differ. Unless extent is used, pixel centers will be located at integer the color of the pixel, adjusted for its opacity by multiplication. Increase the thickness of a line with Matplotlib. Defining a discrete colormap for imshow in Matplotlib. How to create a Scatter Plot with several colors in Matplotlib? But now I want to mark a specific cell, in order to focus the reader on that cell. 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. resample when the output image is larger than the input image. How do I concatenate two lists in Python? ax = plt.gca () ax.set_axis_off () should clear the axis bounds and remove ticks as well. Add custom border to certain cells in a matplotlib / seaborn plot If I call plt.show() prior to calling See the origin and extent in imshow tutorial for Can Martian regolith be easily melted with microwaves? area? Bulk update symbol size units from mm to map units in rule-based symbology. a new figure is displayed without ever To subscribe to this RSS feed, copy and paste this URL into your RSS reader. The intensities look linearly correlated so Pearsons Correlation Coefficient and/or rcParams["image.interpolation"] (default: 'antialiased'). Co-occurence: What proportion of a substance is localized to a particular rendering and that the default interpolation method they implement , imshow , . 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. Use error bars in a Matplotlib scatter plot, Plotting Histogram in Python using Matplotlib. case. How to plot multiple Seaborn Jointplot in Subplot using Matplotlib? J. S. Aaron, A. How to delete only one row in CSV with Python. be used to compare the MCC value of the original image with that of the How to Place Legend Outside of the Plot in Matplotlib? After importing the image file as an array, it is possible to create a Matplotlib window and the axes in which we can then display the image by using imshow (). matplotlib.pyplot.imshow: removing white space/margins Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, higlighting set of values in pcolor 3D plot. If I call plt.imshow(i) prior to calling plt.show(), then everything works perfectly. corrects only integers according to the rule of 1.0 which means Every element in the array acts as a pixel. The protein, protein A, will be simulated as blobs and segmented. 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. Image antialiasing). Get the size of the data. indicating more protein. Remove white border when using subplot and imshow in Python Matplotlib i.e. 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. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. We know that the chessboard is an 88 matrix with only two colors i.e., white and black. How To Adjust Position of Axis Labels in Matplotlib? for an overview of the supported interpolation methods, and The alpha blending value, between 0 (transparent) and 1 (opaque). Tony_S_Yu3 November 28, 2011, 4:09pm #6. LeCun 98 LeNet-5 MNIST MC . It saves the images without any axis, borders, and whitespaces using the savefig() method. We can change it using the origin parameter. plt.show() displays the figure (and enters the main loop of whatever gui backend you're using). The basic function of Matplotlib Imshow is to show the image object. If you would like instead a logo or static image, use go.layout.Image as explained here. Displaying RBG image data with px.imshow px.imshow displays multichannel (RGB) or single-channel ("grayscale") image data. Their centers are on 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. B. Taylor and T.-L. Chew, Image co-localization And for a completely transparent image, use 0. create an arrow whose head is square with its stem, By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. User Input | Input () Function | Keyboard Input, Python Help Function | How to make use of Python Help. Calculate the area of an image using Matplotlib. Manage Settings How to Set a Single Main Title for All the Subplots in Matplotlib? plt.imshow () draws an image on the current figure (creating a figure if there isn't a current figure). 'equal': Ensures an aspect ratio of 1. If we just want to turn either the X-axis or Y-axis off, we can use axes.get_xaxis().set_visible() or axes.get_xaxis().set_visible() method respectively. How to Create Different Subplot Sizes in Matplotlib? values for top and bottom depend on origin: For origin == 'upper' the default is If given, all parameters also accept a string s, which is If alpha is an array, the alpha blending values are applied pixel Suraj Joshi is a backend software engineer at Matrice.ai. We have to give the path of this image to the imread function. The convention (the default) 'upper' is dbc.Row dcc.markdown style margin b colors using normalization and a colormap. measure.manders_coloc_coeff(proteinA, nucleus_seg) 0.1254942609923002. Overlapping Histograms with Matplotlib in Python. Python Pool is a platform where you can learn and become an expert in every aspect of Python programming language as well as in AI, ML, and Data Science. To learn more, see our tips on writing great answers. works perfectly. How to add a border around a NumPy array? integer coordinates, and their center coordinates range from 0 to See Artist.set_url. How to Display an OpenCV image in Python with Matplotlib? Total running time of the script: ( 0 minutes 0.481 seconds), Download Python source code: plot_colocalization_metrics.py, Download Jupyter notebook: plot_colocalization_metrics.ipynb, We hope that this example was useful. Colocalization metrics skimage v0.20.0 docs matplotlib python . use annotate() for example: Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. filter function must produce a graph of the proper shape. to download the full example code or to run this example in your browser via Binder. The overlap coefficient assumes that the area of protein segmentation How to set border for wedges in Matplotlib pie chart? pixel-precise positioning of line mesh on top of image data with matplotlib a discussion of image antialiasing. Why Is PNG file with Drop Shadow in Flutter Web App Grainy? How to troubleshoot crashes detected by Google Play Store for Flutter app, Cupertino DateTime picker interfering with scroll behaviour. Matplotlib.pyplot.imshow: The Complete Guide - AppDividend 'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell', Share Follow edited Jul 8, 2015 at 11:27 normalizes integer values and corrects the rounding errors. In general, this will result in How to add a legend to a scatter plot in Matplotlib ? Set the url of the created AxesImage. on the Agg, ps, pdf and svg backends. This is ignored in the case of colored images. imshow RGB plot overlaps map borders when using projection #3687 - GitHub control? Using Kolmogorov complexity to measure difficulty of problems? interpreted as data[s] (unless this raises an exception). matplotlib is a famous python plot package and most of user used it to process the image. 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. If you want to explictly create a new figure, use plt.figure(). How to (mostly) remove all borders and padding with matplotlib. Suggest you turn that off siaimes July 30, 2022, 12:35am #3 Asking for help, clarification, or responding to other answers. Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. In this example, we demonstrate the use of different metrics to assess the We can pass any of the below values as the argument for this parameter. If no control images are available, the Costes method could Some interpolation methods require an additional radius parameter, applied (visual interpolation). LeCun!-- When True, use a full resampling method. How to animate 3D Graph using Matplotlib? The filter radius for filters that have a radius parameter, i.e. plt.imshow(i), then an error results. After segmenting both the nucleus and the protein of interest, we can 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 interpolation is the default 'antialiased', then 'nearest' Thanks for contributing an answer to Stack Overflow! 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 . Calling plt.show () before you've drawn anything doesn't make . cmap, vmin, vmax. A rank-based Moreover, the imshow method is also famous for the OpenCV module to show the images. By default, a linear scaling is Get the axes instance that contains most of the figure element. Actually I personally rarely use categoricals, so let's look at the continuous case. If filternorm is set, the filter We can also visualize those images using the imshow function of the matplotlib library. (Or will be called whenever you want to stop and visualize the plot you've made, at any rate.). How to set the spacing between subplots in Matplotlib in Python? How To Annotate Bars in Barplot with Matplotlib in Python? imshow We explicitly support categorical colormaps: there is a large amount of code/complexity in colorbar.py mostly present to make them work. If 'data', interpolation How to Add Title to Subplots in Matplotlib? We begin by segmenting the nucleus of a sample image as described in another In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). It is an error to use 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.