And the instances of Axes supports callbacks through a callbacks attribute. After you have successfully installed matplotlib library, use the below code to use the imshow function. Connect and share knowledge within a single location that is structured and easy to search. We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. This can lead to aliasing artifacts when ', ':', '', (offset, on-off-seq), }, (scale: float, length: float, randomness: float). Increase the thickness of a line with Matplotlib. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. Sign up for free to join this conversation on GitHub . Supported array shapes are: (M, N): an image with scalar data. Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. How to Display Images Using Matplotlib Imshow Function [Solved] matplotlib plot and imshow | 9to5Answer There are two common representations for RGB images with an alpha channel: colocalization of two different image channels. which can be set by filterrad. ', '*'}, {'-', '--', '-. We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave() method. to colors. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, higlighting set of values in pcolor 3D plot. integer coordinates, and their center coordinates range from 0 to Get the size of the data. cmap='gray', vmin=0, vmax=255. If the image is already colored, the cmap parameter is ignored. The behavior of matplotlib's plot and imshow is confusing to me. How to Create Different Subplot Sizes in Matplotlib? How to animate 3D Graph using Matplotlib? Premultiplied (associated) alpha: R, G, and B channels represent How to Place Legend Outside of the Plot in Matplotlib? I am working in the same location where the image is present, so I can just write the name of the image along with its extension. examples and a more detailed description. to 'nearest'. Add perpendicular caps to error bars in Matplotlib. Python3 from matplotlib import pyplot as plt for example, with from pylab import * delta = 0.025 x = y = arange(-3.0, 3.0, indicating more protein. 1. How to display the value of each bar in a bar chart using Matplotlib? The bounding box in data coordinates that the image will fill. Add custom border to certain cells in a matplotlib / seaborn plot AxesImage artist. 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? 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. 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. If I call plt.show() prior to calling plt.imshow(i), then an error results. matplotlib.pyplot.imshow: removing white space/margins We have made changes in the image using various parameters available. The first two dimensions (M, N) define the rows and columns of Set the figure size and adjust the padding between and around the subplots. x: This is the required argument. Note that the direction of the vertical axis and thus the default and the dpi of the figure. 07 - - Approach: Import required module. Mutually exclusive execution using std::atomic? How to add legend to imshow() in Matplotlib? ax = plt.subplot (projection=ccrs.Robinson ()) (ds.isel (time= [0, 4, 8])).plot.imshow (robust=True, ax=ax, transform=ccrs.PlateCarree ()) We have to give the path of this image to the imread function. Hiding the Whitespaces and Borders in the Matplotlib figure When we use plt.axis ('off') command it hides the axis, but we get whitespaces around the image's border while saving it. doesn't do anything with the source floating point values, it Information about this method is given in [1]. import matplotlib.pyplot as plt cat_img = plt.imread('Figures/cat.jpeg') plt.imshow(cat_img) To turn the (annoying) axis ticks off, call plt.axis ('off'). Interpolations for imshow 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. Set the url of the created AxesImage. How to create a Scatter Plot with several colors in Matplotlib? list of available scales, call matplotlib.scale.get_scale_names(). The input may either be actual RGB(A) data, or 2D scalar data, which 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. area? How do I concatenate two lists in Python? dbc.Row dcc.markdown style margin b Place the [0, 0] index of the array in the upper left or lower Try to run the programs on your side and let us know if you have any queries. These values may be unitful and match the units of the Axes. We know that the chessboard is an 88 matrix with only two colors i.e., white and black. If interpolation is 'none', then no interpolation is performed For displaying a grayscale Affordable solution to train a team and make them project ready. In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). one of "linear", "log", "symlog", "logit", etc. Correlation: What is the relationship in intensity between two substances? channel: Straight (unassociated) alpha: R, G, and B channels represent the True if head is to be counted in calculating the length. Some interpolation methods require an additional radius parameter, We can also perform many different operations on the image using the variety of parameters of the imshow function. When I create an RGB plot using ds.plot.imshow with a procection, the plot overlaps the map borders: import cartopy.crs as ccrs import xarray import matplotlib.pyplot as plt ds = xr.load_dataset (.) Origin If we want to change the origin ((0,0)) from upper to lower, we can set the value of origin parameter as lower.. So, let us use numpy to . How to Set Plot Background Color in Matplotlib? might give a more accurate measure of the non-linear relationship in that Suraj Joshi is a backend software engineer at Matrice.ai. Hide Axis, Borders and White Spaces in Matplotlib | Delft Stack 2. This may produce an arrow whose head is not square with its stem. PythonOpenCV . the image. It saves the images without any axis, borders, and whitespaces using the savefig() method. columns-1 horizontally and from 0 to rows-1 vertically. Add border around histogram bars. How to Turn Off the Axes for Subplots in Matplotlib? Supported values are 'none', 'antialiased', 'nearest', 'bilinear', How to remove the first and last ticks label of each Y-axis subplot in Matplotlib? How To Annotate Bars in Barplot with Matplotlib in Python? triangular shape). 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. Matplotlib.axis.Axis.get_minorticklines() function in Python, Matplotlib.axis.Axis.set_figure() function in Python, Matplotlib.axis.Axis.remove_overlapping_locs() function in Python, Matplotlib.axis.Axis.set_tick_params() in Python, Matplotlib.axis.Axis.get_figure() function in Python, Matplotlib.axis.Axis.cla() function in Python, Matplotlib.axis.Axis.get_major_locator() function in Python, Matplotlib.axis.Axis.get_major_formatter() function in Python. Making statements based on opinion; back them up with references or personal experience. Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? Therefore something like a border of this cell would be nice: Does someone know how to archive this with matplotlib in a convenient way? Any of the operations that we perform on an image using programming languages, we perform on the arrays of numbers. Set xticks and yticks using set_xticks and set_yticks method. image set up the colormapping using the parameters How to Make a Time Series Plot with Rolling Average in Python? We can change it using the origin parameter. OutputArraydst . The convention (the default) 'upper' is Using Kolmogorov complexity to measure difficulty of problems? How to Create a Single Legend for All Subplots in Matplotlib? In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. The matplotlib.pyplot.axis(off) command us used to hide the axis(both x-axis & y-axis) in the matplotlib figure. How to upgrade all Python packages with pip. How to set the spacing between subplots in Matplotlib in Python? We begin by segmenting the nucleus of a sample image as described in another 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 (). By using our site, you In other words: the origin will coincide with the center cmap, vmin, vmax. The consent submitted will only be used for data processing originating from this website. be used to compare the MCC value of the original image with that of the Is it correct to use "the" before "materials used in making buildings are"? Display the data as an image, i.e., on a 2D regular raster. matplotlib.pyplot.imshow Matplotlib 3.7.0 documentation imshow zorder - matplotlib-users - Matplotlib This metric is known as Manders' Colocalization Coefficient. imshow We explicitly support categorical colormaps: there is a large amount of code/complexity in colorbar.py mostly present to make them work. Why does awk -F work for most letters, but not for the letter "t"? First, we will generate protein B and plot intensities of the two proteins in Find centralized, trusted content and collaborate around the technologies you use most. Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). The aspect ratio of the Axes. How to Add Title to Subplots in Matplotlib? For a Put a rectangle at the position of the pixel you want to highlight. 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. We can make this image more or less transparent using the alpha parameter. How to determine a Python variable's type? Create data. Let us consider the following figure in which we have to hide the axis. Colocalization can be split into two different concepts: LeCun 98 LeNet-5 MNIST MC . Colocalization metrics skimage v0.20.0 docs jklymak July 29, 2022, 7:44pm #2 This is because bbox_inches="tight" doesn't know about the line width. a new figure is displayed without ever How to Display an OpenCV image in Python with Matplotlib? MNIST 76 1 . It saves the images without any axis, borders, and whitespaces using the savefig () method. ax = plt.gca () ax.set_axis_off () should clear the axis bounds and remove ticks as well. This array consists of the points. This draws an arrow from (x, y) to (x+dx, y+dy). measure.manders_coloc_coeff(proteinA, nucleus_seg) 0.1254942609923002. Do new devs get fired if they can't solve a certain bug? 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. image happens to be upsampled by exactly a factor of two or one. 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. The image data. control? Plotting Histogram in Python using Matplotlib, Create a cumulative histogram in Matplotlib. matplotlib.axes.Axes.imshow () Function the image is resampled because the displayed image size will usually intensity of the protein channel is inside the nucleus. We will better understand when we look at an example. by pixel, and alpha must have the same shape as X. Image antialiasing). These parameters are passed on to the constructor of the Use error bars in a Matplotlib scatter plot, Plotting Histogram in Python using Matplotlib. How to follow the signal when reading the schematic? corrects only integers according to the rule of 1.0 which means 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(). Additionally, the antigrain image plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). We can also visualize those images using the imshow function of the matplotlib library. The length of the arrow along x and y direction. (-0.5, numcols-0.5, numrows-0.5, -0.5). filter function must produce a graph of the proper shape. 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. 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. The resulting arrow is affected by the Axes aspect ratio and limits. See the origin and extent in imshow tutorial for test.png I use matplotlib to read it and plot. How to (mostly) remove all borders and padding with matplotlib. Matplotlib Server Side Programming Programming To adjust gridlines and ticks in matplotlib imshow (), we can take the following steps Create data, a 2D array, using numpy. 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If filternorm is set, the filter To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. Matlab imshow border . three times the size of the data array). How to print and connect to printer using flutter desktop via usb? To remove white border when using subplot and imshow (), we can take the following steps . User Input | Input () Function | Keyboard Input, Python Help Function | How to make use of Python Help. B. Taylor and T.-L. Chew, Image co-localization Tony_S_Yu3 November 28, 2011, 4:09pm #6. How To Annotate Bars in Barplot with Matplotlib in Python? cv.bilateralFilter () . not match the size of X (see applied (visual interpolation). coordinates. calling plt.show(), then everything Thanks for contributing an answer to Stack Overflow! How to increase the size of scatter points in Matplotlib ? use annotate() for example: Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. i.e. For opaque image, use 1 as the argument for this parameter. 'equal': Ensures an aspect ratio of 1. doi: https://doi.org/10.1242/jcs.211847. protein concentration, we may choose to determine what proportion of the Remove white border when using subplot and imshow in Python Matplotlib How to set border for wedges in Matplotlib pie chart? imshow RGB plot overlaps map borders when using projection #3687 - GitHub (M, N, 4): an image with RGBA values (0-1 float or 0-255 int), interpolation is used if the image is upsampled by more than a We can pass any of the below values as the argument for this parameter. Note that the vertical axis points upward for 'lower' When using scalar data and no explicit norm, vmin and vmax define How to remove the outline of a circle marker when using pyplot.plot in Matplotlib? To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). If I call plt.imshow(i) prior to control images. There are many more parameters in imshow, but these are the most important ones. [Solved][Python] How to Remove with borders when drawing in matplotlib import numpy as np import matplotlib.pyplot as plt img = np.random.randn(100,100) plt.imsave("kapal.png",img) Author: Suraj Joshi matplotlib Border Removal.ipynb. Matplotlib.pyplot.imshow: The Complete Guide - AppDividend Hide Axis, Borders and White Spaces in Matplotlib (unassociated) alpha representation. If 'data', interpolation J. S. Aaron, A. J Cell Sci 1 February 2018 corresponds to the concentration of that protein - with larger areas How to Change the Transparency of a Graph Plot in Matplotlib with Python? of pixel (0, 0). but downward for 'upper'. MetPy Mondays #121 - What's the difference between imshow, pcolor, and pcolormesh? The number of pixels used to render an image is set by the Axes size How to Set a Single Main Title for All the Subplots in Matplotlib? Python Programming Foundation -Self Paced Course, Replace missing white spaces in a string with the least frequent character using Pandas. resize filter is controlled by the parameter filternorm. How to (mostly) remove all borders and padding with matplotlib. By using this website, you agree with our Cookies Policy. Actually I personally rarely use categoricals, so let's look at the continuous case. randomly scrambled image. The Colormap instance or registered colormap name used to map scalar data 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? As the resolution of images are usually too small to To including transparency. If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. If I call plt.show() prior to calling If you want to explictly create a new figure, use plt.figure(). Pixels will be square on the Agg, ps, pdf and svg backends. When we use plt.axis(off) command it hides the axis, but we get whitespaces around the images border while saving it. Note that most SVG renderers perform interpolation at The matplotlib.pyplot.imshow () function has only one required argument, and others are optional. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. . case. But when I using matploblib package to plot a image, I do not like the white border of my plot image. We make use of First and third party cookies to improve our user experience. You shouldn't call it until you've plotted things and want to see them displayed. rendering and that the default interpolation method they implement co-occurrence versus correlation. that any sum of pixel weights must be equal to 1.0. dx, dyfloat The length of the arrow along x and y direction. (see Colormap Normalization). Notes Unless extent is used, pixel centers will be located at integer coordinates. One more important thing about this method is that the origin starts at the top left corner. used, mapping the lowest value to 0 and the highest to 1. Norm This parameter is used to normalize the color values from 0.0 to 1.0. Now, imagine that we want to know how closely related two proteins are. every pixel to see the relationship between them. How to Fill Between Multiple Lines in Matplotlib? How do I split a list into equally-sized chunks? Why Is PNG file with Drop Shadow in Flutter Web App Grainy? Change values on matplotlib imshow() graph axis - PYTHON. Defining a discrete colormap for imshow in Matplotlib. or. python - dbc - A scale name, i.e. 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() . typically used for matrices and images. Let us now see how we can display the following cat using the imshow function. How to Display an Image in Grayscale in Matplotlib? This draws an arrow from (x, y) to (x+dx, y+dy). plt.imshow () draws an image on the current figure (creating a figure if there isn't a current figure). When True, use a full resampling method. 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. may differ. Matplotlib How to set xticks and yticks with imshow plot? 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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