Display data as an image, i.e., on a 2D regular raster. indicating more protein. A parameter for the antigrain image resize filter (see the How Change the vertical spacing between legend entries in Matplotlib? See the origin and extent in imshow tutorial for smaller than 3, or the image is downsampled, then 'hanning' The matplotlib.pyplot.imshow () function has only one required argument, and others are optional. (Or will be called whenever you want to stop and visualize the plot you've made, at any rate.). In other words: the origin will coincide with the center PythonOpenCV . The aspect ratio of the Axes. We will better understand when we look at an example. How to Set Plot Background Color in Matplotlib? every pixel to see the relationship between them. co-occurrence versus correlation. Connect and share knowledge within a single location that is structured and easy to search. If alpha is an array, the alpha blending values are applied pixel To use the matplotlib library, we first need to install matplotlib using pip install matplotlib. 'auto': The Axes is kept fixed and the aspect is adjusted so values for top and bottom depend on origin: For origin == 'upper' the default is How To Annotate Bars in Barplot with Matplotlib in Python? cmap, vmin, vmax. The overlap coefficient assumes that the area of protein segmentation If no control images are available, the Costes method could matplotlib.axes.Axes.imshow () Function Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? It saves the images without any axis, borders, and whitespaces using the savefig() method. So, the triangular shape). Actually I personally rarely use categoricals, so let's look at the continuous case. One more important thing about this method is that the origin starts at the top left corner. Set xticks and yticks using set_xticks and set_yticks method. interpolation is used if the image is upsampled by more than a How to set border for wedges in Matplotlib pie chart? Manage Settings How to manually add a legend with a color box on a Matplotlib figure ? Embed. 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? Just start a new figure plt.figure(), or close the previous one plt.close(). See there for further details. Calling plt.show () before you've drawn anything doesn't make . There are many more parameters in imshow, but these are the most important ones. 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. How to Draw Rectangle on Image in Matplotlib? We have made changes in the image using various parameters available. How to add a legend to a scatter plot in Matplotlib ? Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. create an arrow whose head is square with its stem, How to determine a Python variable's type? Plotting Histogram in Python using Matplotlib, Create a cumulative histogram in Matplotlib. How to Create Different Subplot Sizes in Matplotlib? ax = plt.subplot (projection=ccrs.Robinson ()) (ds.isel (time= [0, 4, 8])).plot.imshow (robust=True, ax=ax, transform=ccrs.PlateCarree ()) 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. An example of data being processed may be a unique identifier stored in a cookie. Some of our partners may process your data as a part of their legitimate business interest without asking for consent. Remove or adapt the border of the frame of legend using matplotlib. Making statements based on opinion; back them up with references or personal experience. Sign up for free to join this conversation on GitHub . or. A rank-based nucleus segmentation. Add border around histogram bars. Create random data points using numpy. To view the purposes they believe they have legitimate interest for, or to object to this data processing use the vendor list link below. Premultiplied (associated) alpha: R, G, and B channels represent corresponds to the concentration of that protein - with larger areas normalizes integer values and corrects the rounding errors. If interpolation is 'none', then no interpolation is performed How to remove the outline of a circle marker when using pyplot.plot in Matplotlib? color of the pixel, disregarding its opacity. GreyScale images can be visualized using a 2-Dimensional array, and colored images are displayed using a 3-Dimensional array. Place the [0, 0] index of the array in the upper left or lower How do I concatenate two lists in Python? Therefore something like a border of this cell would be nice: of pixel (0, 0). 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. This parameter is ignored if X is RGB(A). To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. 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 (.) The first two dimensions (M, N) define the rows and columns of Let us study everything in detail. matplotlib.pyplot.arrow(x, y, dx, dy, **kwargs) [source] # Add an arrow to the Axes. When using scalar data and no explicit norm, vmin and vmax define This parameter is a shortcut for explicitly calling Other backends will fall back and/or rcParams["image.interpolation"] (default: 'antialiased'). , imshow , . before mapping to colors using cmap. There are two common representations for RGB images with an alpha X It is the data that we want to display using imshow. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Alpha If we want to change the transparency of the image, we can use this parameter. If I call plt.show() prior to calling 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. plt.imshow() draws an image on the current figure (creating a figure if there isn't a current figure). Let us consider the following figure in which we have to hide the axis. Affordable solution to train a team and make them project ready. (see Colormap Normalization). jklymak July 29, 2022, 7:44pm #2 This is because bbox_inches="tight" doesn't know about the line width. protein concentration, we may choose to determine what proportion of the This may produce an arrow whose head is not square with its stem. How to change angle of 3D plot in Python? image set up the colormapping using the parameters (-0.5, numcols-0.5, -0.5, numrows-0.5). including transparency. 'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell', Using indicator constraint with two variables. I am trying to precisely overlay a mesh of 1-pixel wide lines on top of an image grid as displayed by the python library matplotlib. the number of display pixels is at least Mutually exclusive execution using std::atomic? 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. We know that the chessboard is an 88 matrix with only two colors i.e., white and black. If the image is already colored, the cmap parameter is ignored. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. plt.imshow(i), then an error results. Raw. . For opaque image, use 1 as the argument for this parameter. 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. How to Hide Axis Text Ticks or Tick Labels in Matplotlib? cat_img = plt.imread('Figures/cat.jpeg') plt.axis('off') plt.imshow(cat_img) Much better! and assume that whatever is not in the nucleus is in the cytoplasm. name together with vmin/vmax is acceptable). Pixels have unit size in data coordinates. (unless pixel sizes are explicitly made non-square in data 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(). When True, use a full resampling method. Aspect This parameter is used to adjust the size of images. Calling plt.show() before you've drawn anything doesn't make any sense. We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. Create data. How to Set Tick Labels Font Size in Matplotlib? 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. Is it possible to create a concave light? typically used for matrices and images. We can also perform many different operations on the image using the variety of parameters of the imshow function. If you would like instead a logo or static image, use go.layout.Image as explained here. 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. widthfloat, default: 0.001 Width of full arrow tail. relevant for images since it determines whether data pixels are resize filter is controlled by the parameter filternorm. 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', '. Note that the direction of the vertical axis and thus the default How to remove the first and last ticks label of each Y-axis subplot in Matplotlib? If 'data', interpolation 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'). Defining a discrete colormap for imshow in Matplotlib. applied (visual interpolation). 131 (3): jcs211847. plt.imshow () draws an image on the current figure (creating a figure if there isn't a current figure). Using the Matplotlib Imshow Function. Fork 3. How to Set a Single Main Title for All the Subplots in Matplotlib? python matplotlib imshowplt.imshow (x_train [0])plt.imshow (x_train [0])plt.show () python matplotlib python matplotlib importimport osfrom PIL import Imageimport matplot. Image antialiasing for And for a completely transparent image, use 0. So, let us use numpy to . We begin by segmenting the nucleus of a sample image as described in another Turn off the axes. to colors. Norm This parameter is used to normalize the color values from 0.0 to 1.0. In other words: the origin will coincide with the center of pixel (0, 0). 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 to Turn Off the Axes for Subplots in Matplotlib? for example, with from pylab import * delta = 0.025 x = y = arange(-3.0, 3.0, The resampling can be controlled via the interpolation parameter In this image, while there are a lot of protein A spots within the nucleus they are dim compared to some of the spots outside the nucleus, so the MCC is much lower than the overlap coefficient. control? Change values on matplotlib imshow() graph axis - PYTHON. Share Follow edited Jul 8, 2015 at 11:27 These values may be unitful and match the units of the Axes. to 'nearest'. The x and y coordinates of the arrow base. works perfectly. doesn't do anything with the source floating point values, it antigrain documentation). If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. (unassociated) alpha representation. In that case, a suitable Normalize subclass is dynamically generated matplotlib python . Parameters: x, yfloat The x and y coordinates of the arrow base. To remove white border when using subplot and imshow (), we can take the following steps . Learn more, Setting active subplot using axes object in Matplotlib, Adjusting gridlines and ticks in Matplotlib imshow. To learn more, see our tips on writing great answers. factor of three (i.e. imshow We explicitly support categorical colormaps: there is a large amount of code/complexity in colorbar.py mostly present to make them work. So, let us use numpy to create a numpy array consisting of two numbers 0 and 1. We then need to import the submodule pyplot, which contains the imshow function. This can lead to aliasing artifacts when Bulk update symbol size units from mm to map units in rule-based symbology. How to create multiple subplots in Matplotlib in Python? test.png I use matplotlib to read it and plot. An example by adding a black border "constant_values=0": ax = plt.gca () ax.set_axis_off () should clear the axis bounds and remove ticks as well. Using Matplotlib, we can represent both colored and black and white images. interpreted as data[s] (unless this raises an exception). Using matplotlib.pyplot.tight_layout () may solve your problem. To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. case. 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. For displaying this image, we first need to read this image using the imread function of matplotlib.pyplot library. It hides both the X-axis and Y-axis in the figure. Pixels will be square If I call plt.imshow(i) prior to Set the figure size and adjust the padding between and around the subplots. The filter radius for filters that have a radius parameter, i.e. In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. matplotlib Border Removal.ipynb. If interpolation is the default 'antialiased', then 'nearest' interpolation is carried out after the colormapping has been See Artist.set_url. Why do small African island nations perform better than African continental nations, considering democracy and human development? How to Add Title to Subplots in Matplotlib? left corner of the Axes. A place where magic is studied and practiced? MNIST 76 1 . Draw the left-half, right-half, or full arrow. We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave () method. How to Make a Time Series Plot with Rolling Average in Python? 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 Change the Transparency of a Graph Plot in Matplotlib with Python? Note: If you have noticed that when we use plt.axis(off) it automatically hides the Axis, Whitespaces and Borders. coordinates. How to increase the size of scatter points in Matplotlib ? 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.. What sort of strategies would a medieval military use against a fantasy giant? How to add a border around a NumPy array? Working with Images in Python using Matplotlib, Python | Working with PNG Images using Matplotlib. Find centralized, trusted content and collaborate around the technologies you use most. Let us now show an already existing image using imshow. We have studied how to show the images using a matplotlib imshow function. As we can see that we have got the desired matrix, but the colors are not adequate. cmap='gray', vmin=0, vmax=255. is carried out on the data provided by the user. Increase the thickness of a line with Matplotlib. Why does awk -F work for most letters, but not for the letter "t"? 3.4. Set the figure size and adjust the padding between and around the subplots. Origin If we want to change the origin ((0,0)) from upper to lower, we can set the value of origin parameter as lower.. Using Kolmogorov complexity to measure difficulty of problems? doi: https://doi.org/10.1242/jcs.211847. which can be set by filterrad. We can make this image more or less transparent using the alpha parameter. The bounding box in data coordinates that the image will fill. If you want to explictly create a new figure, use plt.figure(). Displaying RBG image data with px.imshow px.imshow displays multichannel (RGB) or single-channel ("grayscale") image data. Co-occurence: What proportion of a substance is localized to a particular 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? In this example, we demonstrate the use of different metrics to assess the If given, this can be one of the following: An instance of Normalize or one of its subclasses Every element in the array acts as a pixel. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Add perpendicular caps to error bars in Matplotlib. By using our site, you 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() . Matlab imshow border . 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 matplotlib.pyplot.axis(off) command us used to hide the axis(both x-axis & y-axis) in the matplotlib figure. Is it correct to use "the" before "materials used in making buildings are"? make out individual proteins, they can clump together within one pixel, As we know that colored images are stored in a 3-d array (the third dimension represents RGB( Red, Green, Blue) colors). Unless extent is used, pixel centers will be located at integer We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave() method. For displaying a grayscale norm: This function is used to normalize the data. imshow expects RGB images adopting the straight A scale name, i.e. For Grey images, it is a 2-D array, and for colored images, we use 3-D images. corrects only integers according to the rule of 1.0 which means In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). How to Create a Single Legend for All Subplots in Matplotlib? examples and a more detailed description. J. S. Aaron, A. will be rendered as a pseudocolor image. from matplotlib import image import matplotlib.pyplot as plt img = image.imread ("eiffel-tower.jpeg") plt.imshow (img) plt.show () print (img.shape) Add a frame to an image To add a frame/border to an image, a solution is to use numpy.pad. For origin == 'lower' the default is 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. 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 . Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. This draws an arrow from (x, y) to (x+dx, y+dy). Overlapping Histograms with Matplotlib in Python. How to Display an OpenCV image in Python with Matplotlib? Some interpolation methods require an additional radius parameter, Get the size of the data. 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. the image is resampled because the displayed image size will usually Use error bars in a Matplotlib scatter plot, Plotting Histogram in Python using Matplotlib. non-square pixels. First, we will generate protein B and plot intensities of the two proteins in 1. plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). See (-0.5, numcols-0.5, numrows-0.5, -0.5). This argument takes an array as a value. Fraction that the arrow is swept back (0 overhang means Now the origin starts from lower left. You shouldn't call it until you've plotted things and want to see them displayed. If filternorm is set, the filter (M, N, 3): an image with RGB values (0-1 float or 0-255 int). example There are two options for arguments auto and equal. Supported values are 'none', 'antialiased', 'nearest', 'bilinear', 2828 label. To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). Axes.set_aspect. The plt.axis('off') command hides the axis, but we get whitespaces around the images border while saving it. Image antialiasing). Display the data as an image, i.e., on a 2D regular raster. The behavior of matplotlib's plot and imshow is confusing to me. Their centers are on 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. It 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 True if head is to be counted in calculating the length. coordinates using extent). but downward for 'upper'. By default, a linear scaling is To The basic function of Matplotlib Imshow is to show the image object. How to Annotate Bars in Grouped Barplot in Python? This array consists of the points. 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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