(-0.5, numcols-0.5, -0.5, numrows-0.5). You can be more creative and use these concepts to create more cool images. nucleus segmentation.
Adjusting gridlines and ticks in Matplotlib imshow - tutorialspoint.com This may produce an arrow whose head is not square with its stem. 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. Matlab imshow border . matplotlib.axes.Axes.imshow () Function Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. but downward for 'upper'. cmap, vmin, vmax. of pixel (0, 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). If you have questions 'sinc', 'lanczos', 'blackman'. interpolation is carried out after the colormapping has been To remove/hide whitespace around the border, we can set bbox_inches=tight in the savefig() method. If 'rgba', the Fraction that the arrow is swept back (0 overhang means Asking for help, clarification, or responding to other answers. and the dpi of the figure.
Matplotlib Tutorial (Part 1): Creating and Customizing Our First Plots, Showing Images in Matplotlib | Imshow Function | Complete Matplotlib Series, Matplotlib Plotting Tutorials : 041 : Read, Process, and Manipulate images with imread and imshow, Matplotlib Imshow -- A Helpful Illustrated Guide. Every element in the array acts as a pixel. Sometimes the intensities are correlated but not in a linear way. We know that the chessboard is an 88 matrix with only two colors i.e., white and black. Some interpolation methods require an additional radius parameter, a new figure is displayed without ever Matplotlib How to set xticks and yticks with imshow plot? Now, imagine that we want to know how closely related two proteins are. left corner of the Axes. (unless pixel sizes are explicitly made non-square in data See there for further details. There are two options for arguments auto and equal. This parameter is a shortcut for explicitly calling Set the figure size and adjust the padding between and around the subplots.
to 'nearest'. The alpha blending value, between 0 (transparent) and 1 (opaque).
Colocalization metrics skimage v0.20.0 docs 1. Use multiple columns in a Matplotlib legend. How to Hide Axis Text Ticks or Tick Labels in Matplotlib? It By using our site, you Calculate the area of an image using Matplotlib. doesn't do anything with the source floating point values, it How to Display an OpenCV image in Python with Matplotlib? 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. And for a completely transparent image, use 0. Get the axes instance that contains most of the figure element. correlation coefficient like Spearmans A parameter for the antigrain image resize filter (see the the color of the pixel, adjusted for its opacity by multiplication. In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). Manage Settings How to Place Legend Outside of the Plot in Matplotlib? It hides both the X-axis and Y-axis in the figure. See Interpolations for imshow Display plot. import numpy as np import matplotlib.pyplot as plt img = np.random.randn(100,100) plt.imsave("kapal.png",img) Author: Suraj Joshi Put a rectangle at the position of the pixel you want to highlight. To hide the axis, we can use the command matplotlib.pyplot.axis('off'). including transparency. 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. And the instances of Axes supports callbacks through a callbacks attribute. Pixels have unit size in data coordinates. 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. To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. triangular shape). How to set the spacing between subplots in Matplotlib in Python?
imshow zorder - matplotlib-users - Matplotlib 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.
How to add a border (frame) to an image using python - Moonbooks 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. 'auto': The Axes is kept fixed and the aspect is adjusted so
Python 3MatplotLibOpenCV There are two common representations for RGB images with an alpha To learn more, see our tips on writing great answers. every pixel to see the relationship between them. By default, the colormap covers
control images. We can clearly observe the change between the above two images. Click here This array consists of the points. Draw the left-half, right-half, or full arrow. unanswered by our documentation, you can ask them on the, # generating protein B data that is correlated to protein A for demo. The Colormap instance or registered colormap name used to map scalar data the image is resampled because the displayed image size will usually If given, all parameters also accept a string s, which is MetPy Mondays #121 - What's the difference between imshow, pcolor, and pcolormesh? 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.. 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. AxesImage artist. PythonOpenCV . We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave() method. In programming, one is used for bright color, and 0 is used for dark/dull colors. The x and y coordinates of the arrow base. Get the axes instance that contains most of the figure element. 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. How to Set a Single Main Title for All the Subplots in Matplotlib?
LeCun!-- The first two dimensions (M, N) define the rows and columns of The default extent is determined by the following conditions. rendering and that the default interpolation method they implement
Matplotlib.pyplot.imshow: The Complete Guide - AppDividend Premultiplied (associated) alpha: R, G, and B channels represent The convention (the default) 'upper' is If I call plt.show() prior to calling If I call plt.imshow(i) prior to calling plt.show(), then everything works perfectly. 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. Cmap This parameter is used to give colors to non-colored images. LeCun 98 LeNet-5 MNIST MC . filter function must produce a graph of the proper shape. use annotate() for example: Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. For drawing creative graphs, many times we hide x-axis & y-axis. GitHub Skip to content All gists Back to GitHub Sign in Sign up Instantly share code, notes, and snippets. If the upsampling rate is ', '*'}, {'-', '--', '-. It saves the images without any axis, borders, and whitespaces using the savefig () method. An example of data being processed may be a unique identifier stored in a cookie. imshow expects RGB images adopting the straight The results show that the image's border is twice as small as the grid, the problem is how to make them the same width? smaller than 3, or the image is downsampled, then 'hanning' How to (mostly) remove all borders and padding with matplotlib. 2. We will better understand when we look at an example. How to remove the outline of a circle marker when using pyplot.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 ().
How to Display Images Using Matplotlib Imshow Function applied (visual interpolation). The intensities look linearly correlated so Pearsons Correlation Coefficient How to plot two histograms together in Matplotlib? This parameter is ignored if X is RGB(A). How to Display an Image in Grayscale in Matplotlib? coordinates. 2828 label. If given, this can be one of the following: An instance of Normalize or one of its subclasses By using our site, you
[Solved] matplotlib plot and imshow | 9to5Answer Supported array shapes are: (M, N): an image with scalar data.
imshow RGB plot overlaps map borders when using projection #3687 - GitHub Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. Defining a discrete colormap for imshow 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(). How can a simple bivariate distribution be shown using imshow in Matplotlib Python?
Matplotlib Imshow A Helpful Illustrated Guide - Finxter by pixel, and alpha must have the same shape as X. If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. and assume that whatever is not in the nucleus is in the cytoplasm. the number of display pixels is at least factor of three (i.e. How to increase the size of scatter points in Matplotlib ? 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. Co-occurence: What proportion of a substance is localized to a particular How to Change Legend Font Size in Matplotlib? Calling plt.show () before you've drawn anything doesn't make . colors using normalization and a colormap. If I call plt.imshow(i) prior to Embed. randomly scrambled image. How to upgrade all Python packages with pip. The range is 0-1. To Approach: Import required module. 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 typically used for matrices and images. , imshow , . rev2023.3.3.43278. Star 21. Thanks for contributing an answer to Stack Overflow! What sort of strategies would a medieval military use against a fantasy giant? In that case, a suitable Normalize subclass is dynamically generated 3.4. How to Set Plot Background Color in Matplotlib? Aspect This parameter is used to adjust the size of images. cat_img = plt.imread('Figures/cat.jpeg') plt.axis('off') plt.imshow(cat_img) Much better!
Remove white border when using subplot and imshow in Python Matplotlib examples and a more detailed description. A scale name, i.e. A place where magic is studied and practiced? Share Follow edited Jul 8, 2015 at 11:27 It is an error to use Plotting Histogram in Python using Matplotlib, Create a cumulative histogram in Matplotlib. Note that most SVG renderers perform interpolation at We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. Any of the operations that we perform on an image using programming languages, we perform on the arrays of numbers. If you want to explictly create a new figure, use plt.figure(). Image antialiasing). Axes.set_aspect. when interpolation is one of: 'sinc', 'lanczos' or 'blackman'. Using imshow () method, display data as an image. This can lead to aliasing artifacts when For Grey images, it is a 2-D array, and for colored images, we use 3-D images. Creating a chessboard . works perfectly. channel: Straight (unassociated) alpha: R, G, and B channels represent the How can I delete a file or folder in Python? How to Create a Single Legend for All Subplots in Matplotlib? Plot a Point or a Line on an Image with Matplotlib. Other backends will fall back imshow We explicitly support categorical colormaps: there is a large amount of code/complexity in colorbar.py mostly present to make them work. A rank-based might give a more accurate measure of the non-linear relationship in that How to follow the signal when reading the schematic? corrects only integers according to the rule of 1.0 which means
Imshow in Python - Plotly 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? interpreted as data[s] (unless this raises an exception). on the Agg, ps, pdf and svg backends. Let us consider the following figure in which we have to hide the axis. User Input | Input () Function | Keyboard Input, Python Help Function | How to make use of Python Help. How to add a border around a NumPy array? After you have successfully installed matplotlib library, use the below code to use the imshow function. Let us now see how we can display the following cat using the imshow function. Now the origin starts from lower left. before mapping to colors using cmap. Image antialiasing for matplotlib.pyplot.axis('off') , matplotlib.pyplot.axis('off') , X Y axes.get_xaxis().set_visible() axes.get_xaxis().set_visible() , plt.axis('off') savefig() bbox_inches='tight' savefig() pad_inches = 0 , matplotlib.pyplot.imsave() . 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. Place the [0, 0] index of the array in the upper left or lower How to Make a Time Series Plot with Rolling Average in Python? Suggest you turn that off siaimes July 30, 2022, 12:35am #3
Matplotlib.axes.Axes.imshow() in Python - GeeksforGeeks As the resolution of images are usually too small to J. S. Aaron, A. Try to run the programs on your side and let us know if you have any queries. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. See Artist.set_url. How to display the value of each bar in a bar chart using Matplotlib? We have to give the path of this image to the imread function. 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() area? GreyScale images can be visualized using a 2-Dimensional array, and colored images are displayed using a 3-Dimensional array. For opaque image, use 1 as the argument for this parameter. The resulting arrow is affected by the Axes aspect ratio and limits. indicating more protein. We then need to import the submodule pyplot, which contains the imshow function. Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. three times the size of the data array). In other words: the origin will coincide with the center of pixel (0, 0). Matplotlib is a library in python that is built over the numpy library and is used to represent different plots, graphs, and images using numbers. plt.show() displays the figure (and enters the main loop of whatever gui backend you're using). values for top and bottom depend on origin: For origin == 'upper' the default is for example, with from pylab import * delta = 0.025 x = y = arange(-3.0, 3.0, Python Programming Foundation -Self Paced Course, Replace missing white spaces in a string with the least frequent character using Pandas.
Hide Axis, Borders and White Spaces in Matplotlib | Delft Stack 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. dx, dyfloat The length of the arrow along x and y direction. How to change angle of 3D plot in Python? How Change the vertical spacing between legend entries in Matplotlib? How to animate 3D Graph using Matplotlib? Get the size of the data. By default, a linear scaling is When True, use a full resampling method. Mutually exclusive execution using std::atomic? calling plt.show(), then everything Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, higlighting set of values in pcolor 3D plot.
In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. is carried out on the data provided by the user. The normalization method used to scale scalar data to the [0, 1] range How to create a Scatter Plot with several colors in Matplotlib? Tony_S_Yu3 November 28, 2011, 4:09pm #6. Moreover, the imshow method is also famous for the OpenCV module to show the images. i.e. normalizes integer values and corrects the rounding errors. zhou13 / imshow-nomargin.py Last active yesterday Star 2 Fork 0 Code Revisions 2 Stars 2 Embed Download ZIP matplotlib.pyplot.imshow without margin Raw imshow-nomargin.py columns-1 horizontally and from 0 to rows-1 vertically. known as Manders Colocalization Coefficient. How to manually add a legend with a color box on a Matplotlib figure ? 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. The values are mapped to {'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.