If you have questions Using matplotlib.pyplot.tight_layout () may solve your problem. How To Annotate Bars in Barplot with Matplotlib in Python? matplotlib is a famous python plot package and most of user used it to process the image. 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 Fork 3. Display the data as an image, i.e., on a 2D regular raster. This parameter is ignored if X is RGB(A). vmin/vmax when a norm instance is given (but using a str norm One more important thing about this method is that the origin starts at the top left corner. To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). The basic function of Matplotlib Imshow is to show the image object. Calling plt.show () before you've drawn anything doesn't make . How do I concatenate two lists in Python? colocalization of two different image channels. Raw. We and our partners use cookies to Store and/or access information on a device. cmap='gray', vmin=0, vmax=255. (unassociated) alpha representation. An example of data being processed may be a unique identifier stored in a cookie. Every element in the array acts as a pixel. You shouldn't call it until you've plotted things and want to see them displayed. Colocalization can be split into two different concepts: How to remove the first and last ticks label of each Y-axis subplot in Matplotlib? Sign up for free to join this conversation on GitHub . left corner of the Axes. 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. matplotlib python . (M, N, 4): an image with RGBA values (0-1 float or 0-255 int), It is an error to use If 'rgba', the For Grey images, it is a 2-D array, and for colored images, we use 3-D images. Why does awk -F work for most letters, but not for the letter "t"? Create data. intensity of the protein channel is inside the nucleus. When True, use a full resampling method. or. Why Is PNG file with Drop Shadow in Flutter Web App Grainy? Change values on matplotlib imshow() graph axis - PYTHON. Click here If the image is already colored, the cmap parameter is ignored. The resulting arrow is affected by the Axes aspect ratio and limits. 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. How to create multiple subplots in Matplotlib in Python? of pixel (0, 0). Get the size of the data. one of "linear", "log", "symlog", "logit", etc. Mutually exclusive execution using std::atomic? non-square pixels. Imagine that we are trying to determine the subcellular localization of a In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. 1. But now I want to mark a specific cell, in order to focus the reader on that cell. How can I delete a file or folder in Python? How to (mostly) remove all borders and padding with matplotlib. The first two dimensions (M, N) define the rows and columns of 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. 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 Flutter change focus color and icon color but not works. Normally plot the data. This can lead to aliasing artifacts when Norm This parameter is used to normalize the color values from 0.0 to 1.0. A parameter for the antigrain image resize filter (see the including transparency. You can be more creative and use these concepts to create more cool images. 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'). After segmenting both the nucleus and the protein of interest, we can PythonOpenCV . 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. How to Fill Between Multiple Lines in Matplotlib? The aspect ratio of the Axes. 'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell', matplotlib Border Removal.ipynb. Note that most SVG renderers perform interpolation at 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. rev2023.3.3.43278. This draws an arrow from (x, y) to (x+dx, y+dy). Affordable solution to train a team and make them project ready. plt.imshow() draws an image on the current figure (creating a figure if there isn't a current figure). This array consists of the points. Defining a discrete colormap for imshow in Matplotlib. How to Create Different Subplot Sizes in Matplotlib? How to Set Tick Labels Font Size in Matplotlib? Parameters: x, yfloat The x and y coordinates of the arrow base. Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. And for a completely transparent image, use 0. Draw the left-half, right-half, or full arrow. and/or rcParams["image.interpolation"] (default: 'antialiased'). The overlap coefficient assumes that the area of protein segmentation might give a more accurate measure of the non-linear relationship in that How to follow the signal when reading the schematic? How to Add Title to Subplots in Matplotlib? First, we will generate protein B and plot intensities of the two proteins in Calling plt.show() before you've drawn anything doesn't make any sense. Learn more, Setting active subplot using axes object in Matplotlib, Adjusting gridlines and ticks in Matplotlib imshow. We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave () method. Premultiplied (associated) alpha: R, G, and B channels represent How to add legend to imshow() in Matplotlib? Set xticks and yticks using set_xticks and set_yticks method. that the data fit in the Axes. Interpolations for imshow Do you know that images are represented in the form of numbers in computer programming? J. S. Aaron, A. 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. not match the size of X (see The matplotlib.pyplot.imshow () function has only one required argument, and others are optional. How to Hide Axis Text Ticks or Tick Labels in Matplotlib? How To Adjust Position of Axis Labels in Matplotlib? Bulk update symbol size units from mm to map units in rule-based symbology. How to change angle of 3D plot in Python? If filternorm is set, the filter Displaying RBG image data with px.imshow px.imshow displays multichannel (RGB) or single-channel ("grayscale") image data. Display data as an image, i.e., on a 2D regular raster. How to Set a Single Main Title for All the Subplots in Matplotlib? norm: This function is used to normalize the data. If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. Just start a new figure plt.figure(), or close the previous one plt.close(). This argument takes an array as a value. Plotting Various Sounds on Graphs using Python and Matplotlib, COVID-19 Data Visualization using matplotlib in Python, Analyzing selling price of used cars using Python. See image happens to be upsampled by exactly a factor of two or one. Working with Images in Python using Matplotlib, Python | Working with PNG Images using Matplotlib. If I call plt.show() prior to calling Why is there a voltage on my HDMI and coaxial cables? A scale name, i.e. smaller than 3, or the image is downsampled, then 'hanning' Download ZIP. X It is the data that we want to display using imshow. ', '*'}, {'-', '--', '-. dx, dyfloat The length of the arrow along x and y direction. This parameter is particularly would give us a good measure of how strong the association is. How to set the spacing between subplots in Matplotlib in Python? This parameter is a shortcut for explicitly calling The image data. As the resolution of images are usually too small to cmap, vmin, vmax. Python Programming Foundation -Self Paced Course, Replace missing white spaces in a string with the least frequent character using Pandas. Set the figure size and adjust the padding between and around the subplots. 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 . correlation coefficient like Spearmans How to Annotate Bars in Grouped Barplot in Python? Matlab imshow border . The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. These values may be unitful and match the units of the Axes. filter function must produce a graph of the proper shape. 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. they are dim compared to some of the spots outside the nucleus, so the MCC is How to Change the Transparency of a Graph Plot in Matplotlib with Python? interpreted as data[s] (unless this raises an exception). (-0.5, numcols-0.5, -0.5, numrows-0.5). 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. By using this website, you agree with our Cookies Policy. How to Create a Single Legend for All Subplots in Matplotlib? Add perpendicular caps to error bars in Matplotlib. For displaying this image, we first need to read this image using the imread function of matplotlib.pyplot library. These parameters are passed on to the constructor of the Add border around histogram bars. We have studied how to show the images using a matplotlib imshow function. Is it possible to create a concave light? i.e. But when I using matploblib package to plot a image, I do not like the white border of my plot image. resize filter is controlled by the parameter filternorm. The protein, protein A, will be simulated as blobs and segmented. To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. coordinates using extent). normalizes integer values and corrects the rounding errors. doi: https://doi.org/10.1242/jcs.211847. We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. InputArraysrc8. For displaying a grayscale A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. 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() How can a simple bivariate distribution be shown using imshow in Matplotlib Python? example This may produce an arrow whose head is not square with its stem. 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? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). An example by adding a black border "constant_values=0": Co-occurence: What proportion of a substance is localized to a particular calling plt.show(). The bounding box in data coordinates that the image will fill. How to manually add a legend with a color box on a Matplotlib figure ? If you would like instead a logo or static image, use go.layout.Image as explained here. 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. Now the origin starts from lower left. Star 21. So, to better capture the Now, imagine that we want to know how closely related two proteins are. 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. the image. How to Set Plot Background Color in Matplotlib? (unless pixel sizes are explicitly made non-square in data How to troubleshoot crashes detected by Google Play Store for Flutter app, Cupertino DateTime picker interfering with scroll behaviour. Other backends will fall back If I call plt.imshow(i) prior to J Cell Sci 1 February 2018 import numpy as np import matplotlib.pyplot as plt img = np.random.randn(100,100) plt.imsave("kapal.png",img) Author: Suraj Joshi works perfectly. widthfloat, default: 0.001 Width of full arrow tail. Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. a discussion of image antialiasing. We have made changes in the image using various parameters available. Using Kolmogorov complexity to measure difficulty of problems? Note that the direction of the vertical axis and thus the default AxesImage artist. How to Change Legend Font Size in Matplotlib? 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. doesn't do anything with the source floating point values, it Using indicator constraint with two variables. There are two common representations for RGB images with an alpha channel: This is ignored in the case of colored images. control images. 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 (). Suraj Joshi is a backend software engineer at Matrice.ai. Let us now show an already existing image using imshow. OutputArraydst . but downward for 'upper'. As we know that colored images are stored in a 3-d array (the third dimension represents RGB( Red, Green, Blue) colors). Approach: Import required module. 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.. Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. Thanks for contributing an answer to Stack Overflow! You'd have to call show() at some point, but if you do, then you can't execute the rest of the code to display the next image. Turn off the axes. How to create a Scatter Plot with several colors in Matplotlib? How to Place Legend Outside of the Plot in Matplotlib? 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. Let us now see how we can display the following cat using the imshow function. python matplotlib imshowplt.imshow (x_train [0])plt.imshow (x_train [0])plt.show () python matplotlib python matplotlib importimport osfrom PIL import Imageimport matplot. For drawing creative graphs, many times we hide x-axis & y-axis. interpolation is used to act as an anti-aliasing filter, unless the is carried out on the data provided by the user. Using imshow () method, display data as an image. unanswered by our documentation, you can ask them on the, # generating protein B data that is correlated to protein A for demo. If interpolation is the default 'antialiased', then 'nearest' Plot a Point or a Line on an Image with Matplotlib. To remove/hide whitespace around the border, we can set bbox_inches=tight in the savefig() method. Tony_S_Yu3 November 28, 2011, 4:09pm #6. 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. To remove white border when using subplot and imshow (), we can take the following steps . corresponds to the concentration of that protein - with larger areas In this example, we will Pass a two edge color, edgecolor = Black and red value as the edge color parameter to plt.hist() to change the bar border color. It saves the images without any axis, borders, and whitespaces using the savefig () method. Axes.set_aspect. 'sinc', 'lanczos', 'blackman'. Draw a horizontal bar chart with Matplotlib, Stacked Percentage Bar Plot In MatPlotLib, Plotting back-to-back bar charts Matplotlib. Also, we know that to color a 2-d array, we use the cmap parameter. By default, the colormap covers Using Matplotlib, we can represent both colored and black and white images. How to Display an OpenCV image in Python with Matplotlib? imshow expects RGB images adopting the straight Asking for help, clarification, or responding to other answers. instead of ending at coordinate 0. a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image, CapStyle or {'butt', 'projecting', 'round'}, {'/', '\', '|', '-', '+', 'x', 'o', 'O', '. for example, with from pylab import * delta = 0.025 x = y = arange(-3.0, 3.0, corrects only integers according to the rule of 1.0 which means If the upsampling rate is used, mapping the lowest value to 0 and the highest to 1. the image is resampled because the displayed image size will usually This draws an arrow from (x, y) to (x+dx, y+dy). ', ':', '', (offset, on-off-seq), }, (scale: float, length: float, randomness: float). import matplotlib.pyplot as plt import numpy as np img = np.random.rand (4,10) plt.imshow (img, cmap='Reds') As folllow: But now I want to mark a specific cell, in order to focus the reader on that cell. How to remove the outline of a circle marker when using pyplot.plot in Matplotlib? Suraj Joshi is a backend software engineer at Matrice.ai. be used to compare the MCC value of the original image with that of the Find centralized, trusted content and collaborate around the technologies you use most. If alpha is an array, the alpha blending values are applied pixel which can be set by filterrad. make out individual proteins, they can clump together within one pixel, Supported values are 'none', 'antialiased', 'nearest', 'bilinear', 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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