How to Place Legend Outside of the Plot in Matplotlib? to colors. 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. An example by adding a black border "constant_values=0": How to Display, Modify and Save Images in Matplotlib - Finxter Fork 3. 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() . How to (mostly) remove all borders and padding with matplotlib. User Input | Input () Function | Keyboard Input, Python Help Function | How to make use of Python Help. Aspect This parameter is used to adjust the size of images. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. How to add legend to imshow() in Matplotlib? Hide Axis, Borders and White Spaces in Matplotlib Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? measure.manders_coloc_coeff(proteinA, nucleus_seg) 0.1254942609923002. See the origin and extent in imshow tutorial for examples and a more detailed description. But when I using matploblib package to plot a image, I do not like the white border of my plot image. If interpolation is 'none', then no interpolation is performed Defining a discrete colormap for imshow in Matplotlib. 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. The length of the arrow along x and y direction. Imshow in Python - Plotly cmap: This parameter is used to map the scalar data to color. Can be negative or greater than one. 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. We can also visualize those images using the imshow function of the matplotlib library. Try to run the programs on your side and let us know if you have any queries. dbc.Row dcc.markdown style margin b The overlap coefficient assumes that the area of protein segmentation cmap, vmin, vmax. (-0.5, numcols-0.5, -0.5, numrows-0.5). How to Display an Image in Grayscale in Matplotlib? There are two common representations for RGB images with an alpha channel: Draw a horizontal bar chart with Matplotlib, Stacked Percentage Bar Plot In MatPlotLib, Plotting back-to-back bar charts Matplotlib. If alpha is an array, the alpha blending values are applied pixel (-0.5, numcols-0.5, numrows-0.5, -0.5). We make use of First and third party cookies to improve our user experience. Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). Matlab, imshow() As Matplotlib is generally used for data visualization, images can be a part of data, and to check it, we can use imshow. Using Kolmogorov complexity to measure difficulty of problems? Calculate the area of an image using Matplotlib. the color of the pixel, adjusted for its opacity by multiplication. imshow zorder - matplotlib-users - Matplotlib How to add a border around a NumPy array? This parameter is ignored if X is RGB(A). The x and y coordinates of the arrow base. unanswered by our documentation, you can ask them on the, # generating protein B data that is correlated to protein A for demo. We will better understand when we look at an example. 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. How to set the spacing between subplots in Matplotlib in Python? 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). Bulk update symbol size units from mm to map units in rule-based symbology. How to remove the outline of a circle marker when using pyplot.plot in Matplotlib? For displaying this image, we first need to read this image using the imread function of matplotlib.pyplot library. plt.imshow() draws an image on the current figure (creating a figure if there isn't a current figure). A rank-based How to add a legend to a scatter plot in Matplotlib ? every pixel to see the relationship between them. 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 (). My code is GPL licensed, can I issue a license to have my code be distributed in a specific MIT licensed project? Parameters: x, yfloat The x and y coordinates of the arrow base. ', ':', '', (offset, on-off-seq), }, (scale: float, length: float, randomness: float). 131 (3): jcs211847. So, the list of available scales, call matplotlib.scale.get_scale_names(). Agree Add custom border to certain cells in a matplotlib / seaborn plot How to set border for wedges in Matplotlib pie chart? How to troubleshoot crashes detected by Google Play Store for Flutter app, Cupertino DateTime picker interfering with scroll behaviour. Set the figure size and adjust the padding between and around the subplots. the image. python matplotlib imshowplt.imshow (x_train [0])plt.imshow (x_train [0])plt.show () python matplotlib python matplotlib importimport osfrom PIL import Imageimport matplot. If 'rgba', the case. import matplotlib.pyplot as plt import numpy as np data = np.random.rand (8, 8) plt.imshow (data, origin='lower', interpolation='None', aspect='equal') plt.axis ('off') plt.tight_layout () plt.show () Share Improve this answer Follow answered Feb 16, 2022 at 21:44 arthropode Why is there a voltage on my HDMI and coaxial cables? and assume that whatever is not in the nucleus is in the cytoplasm. Display the data as an image, i.e., on a 2D regular raster. When True, use a full resampling method. If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. color of the pixel, disregarding its opacity. might give a more accurate measure of the non-linear relationship in that Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. 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. We and our partners use cookies to Store and/or access information on a device. Not the answer you're looking for? the data range that the colormap covers. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. 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 The values are mapped to factor of three (i.e. Increase the thickness of a line with Matplotlib. that the data fit in the Axes. example 'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite', 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? Calling plt.show() before you've drawn anything doesn't make any sense. In other words: the origin will coincide with the center of pixel (0, 0). There are many more parameters in imshow, but these are the most important ones. X It is the data that we want to display using imshow. You shouldn't call it until you've plotted things and want to see them displayed. Get the axes instance that contains most of the figure element. smaller than 3, or the image is downsampled, then 'hanning' For example, I want to show test.png picture. 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. 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. When using scalar data and no explicit norm, vmin and vmax define How to display the value of each bar in a bar chart using Matplotlib? How to Set a Single Main Title for All the Subplots in Matplotlib? cv.bilateralFilter () . Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. Display data as an image, i.e., on a 2D regular raster. In this image, while there are a lot of protein A spots within the nucleus matplotlib.pyplot.arrow Matplotlib 3.7.0 documentation Note that most SVG renderers perform interpolation at the number of display pixels is at least See parameters norm, resample when the output image is larger than the input image. To MNIST 76 1 . To remove/hide whitespace around the border, we can set bbox_inches=tight in the savefig() method. Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. [Solved] matplotlib plot and imshow | 9to5Answer Note that the direction of the vertical axis and thus the default What sort of strategies would a medieval military use against a fantasy giant? We have to give the path of this image to the imread function. 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(). matplotlib.pyplot.imshow Matplotlib 3.7.0 documentation How to animate 3D Graph using Matplotlib? Critical issues have been reported with the following SDK versions: com.google.android.gms:play-services-safetynet:17.0.0, Flutter Dart - get localized country name from country code, navigatorState is null when using pushNamed Navigation onGenerateRoutes of GetMaterialPage, Android Sdk manager not found- Flutter doctor error, Flutter Laravel Push Notification without using any third party like(firebase,onesignal..etc), How to change the color of ElevatedButton when entering text in TextField. cat_img = plt.imread('Figures/cat.jpeg') plt.axis('off') plt.imshow(cat_img) Much better! Python3 from matplotlib import pyplot as plt In this example, we will Pass a two edge color, edgecolor = Black and red value as the edge color parameter to plt.hist() to change the bar border color. filter function must produce a graph of the proper shape. matplotlib Border Removal.ipynb. matplotlib.pyplot.arrow(x, y, dx, dy, **kwargs) [source] # Add an arrow to the Axes. . Therefore something like a border of this cell would be nice: Does someone know how to archive this with matplotlib in a convenient way? How to manually add a legend with a color box on a Matplotlib figure ? a discussion of image antialiasing. plt.imshow () draws an image on the current figure (creating a figure if there isn't a current figure). 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. In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. integer coordinates, and their center coordinates range from 0 to The Colormap instance or registered colormap name used to map scalar data of pixel (0, 0). How can a simple bivariate distribution be shown using imshow in Matplotlib Python? To use the matplotlib library, we first need to install matplotlib using pip install matplotlib. Notes Unless extent is used, pixel centers will be located at integer coordinates. Cmap This parameter is used to give colors to non-colored images. typically used for matrices and images. jklymak July 29, 2022, 7:44pm #2 This is because bbox_inches="tight" doesn't know about the line width. 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. 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. Actually I personally rarely use categoricals, so let's look at the continuous case. How To Annotate Bars in Barplot with Matplotlib in Python? AxesImage artist. Why does awk -F work for most letters, but not for the letter "t"? So, let us use numpy to create a numpy array consisting of two numbers 0 and 1. The range is 0-1. By default, a linear scaling is For origin == 'lower' the default is (M, N, 3): an image with RGB values (0-1 float or 0-255 int). plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). matplotlib.pyplot.imshow: removing white space/margins Python Programming Foundation -Self Paced Course, Replace missing white spaces in a string with the least frequent character using Pandas. By using our site, you Click here Their centers are on To subscribe to this RSS feed, copy and paste this URL into your RSS reader. It is an error to use import numpy as np import matplotlib.pyplot as plt img = np.random.randn(100,100) plt.imsave("kapal.png",img) Author: Suraj Joshi If 'data', interpolation intensity of the protein channel is inside the nucleus. If the upsampling rate is How to upgrade all Python packages with pip. Create data. How to Set Tick Labels Font Size in Matplotlib? 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? In this example, we demonstrate the use of different metrics to assess the matplotlib.pyplot.imshow without margin GitHub - Gist Normally plot the data. The resulting arrow is affected by the Axes aspect ratio and limits. How to Change the Transparency of a Graph Plot in Matplotlib with Python? 2. So, to better capture the Any of the operations that we perform on an image using programming languages, we perform on the arrays of numbers. See Artist.set_url. the complete value range of the supplied data. Draw the left-half, right-half, or full arrow. Hide Axis, Borders and White Spaces in Matplotlib | Delft Stack The matplotlib.pyplot.imshow () function has only one required argument, and others are optional. In that case, a suitable Normalize subclass is dynamically generated Matplotlib.axes.Axes.imshow() in Python - GeeksforGeeks use annotate() for example: Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. Use multiple columns in a Matplotlib legend. Suraj Joshi is a backend software engineer at Matrice.ai. For drawing creative graphs, many times we hide x-axis & y-axis. interpolation is used if the image is upsampled by more than a How to plot multiple Seaborn Jointplot in Subplot using Matplotlib? GreyScale images can be visualized using a 2-Dimensional array, and colored images are displayed using a 3-Dimensional array. J. S. Aaron, A. Find centralized, trusted content and collaborate around the technologies you use most. How to create a Scatter Plot with several colors in Matplotlib? 1. Embed. Matplotlib cheatsheet - Cheat sheet Version 3. Quick start API import These parameters are passed on to the constructor of the J Cell Sci 1 February 2018 How do I split a list into equally-sized chunks? to download the full example code or to run this example in your browser via Binder. square. How to Display Images Using Matplotlib Imshow Function It hides both the X-axis and Y-axis in the figure. 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. How do I concatenate two lists in Python? If I call plt.imshow(i) prior to corresponds to the concentration of that protein - with larger areas How to mark cells in matplotlib.pyplot.imshow (drawing cell borders) Sign up for free to join this conversation on GitHub . The first two dimensions (M, N) define the rows and columns of A parameter for the antigrain image resize filter (see the How to print and connect to printer using flutter desktop via usb? InputArraysrc8. before mapping to colors using cmap. How to remove the first and last ticks label of each Y-axis subplot in Matplotlib? LeCun!-- This draws an arrow from (x, y) to (x+dx, y+dy). Star 21. 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. Why Is PNG file with Drop Shadow in Flutter Web App Grainy? doi: https://doi.org/10.1242/jcs.211847. create an arrow whose head is square with its stem, The behavior of matplotlib's plot and imshow is confusing to me. We can clearly observe the change between the above two images. To learn more, see our tips on writing great answers. including transparency. Image antialiasing). The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. calling plt.show(), then everything The normalization method used to scale scalar data to the [0, 1] range and/or rcParams["image.interpolation"] (default: 'antialiased'). What is the difference between plt.show and cv2.imshow in Matplotlib? (Or will be called whenever you want to stop and visualize the plot you've made, at any rate.). How to Create Different Subplot Sizes in Matplotlib? Now the origin starts from lower left. Set the url of the created AxesImage. This is ignored in the case of colored images. We can change it using the origin parameter. Asking for help, clarification, or responding to other answers. Approach: Import required module. ax = plt.subplot (projection=ccrs.Robinson ()) (ds.isel (time= [0, 4, 8])).plot.imshow (robust=True, ax=ax, transform=ccrs.PlateCarree ()) How do I change the size of figures drawn with Matplotlib? 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 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. Is it correct to use "the" before "materials used in making buildings are"? x: This is the required argument. Learn more, Setting active subplot using axes object in Matplotlib, Adjusting gridlines and ticks in Matplotlib imshow. Adjusting gridlines and ticks in Matplotlib imshow - tutorialspoint.com Displaying RBG image data with px.imshow px.imshow displays multichannel (RGB) or single-channel ("grayscale") image data. Change values on matplotlib imshow() graph axis - PYTHON. (unless pixel sizes are explicitly made non-square in data Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? Every element in the array acts as a pixel. Put a rectangle at the position of the pixel you want to highlight. This parameter is a shortcut for explicitly calling This can lead to aliasing artifacts when 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() Information about this method is given in [1]. {'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, 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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.