See there for further details. The consent submitted will only be used for data processing originating from this website. Any of the operations that we perform on an image using programming languages, we perform on the arrays of numbers. plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). applied (visual interpolation). Normally plot the data. We will better understand when we look at an example. How To Annotate Bars in Barplot with Matplotlib in Python? Therefore something like a border of this cell would be nice: If no control images are available, the Costes method could 1. relevant for images since it determines whether data pixels are How To Annotate Bars in Barplot with Matplotlib in Python? Turn off the axes. Using imshow () method, display data as an image. The Colormap instance or registered colormap name used to map scalar data By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. By default, the colormap covers Mutually exclusive execution using std::atomic? Set the url of the created AxesImage. How to follow the signal when reading the schematic? Add border around histogram bars. Python Programming Foundation -Self Paced Course, Replace missing white spaces in a string with the least frequent character using Pandas. For example, I want to show test.png picture. The resampling can be controlled via the interpolation parameter But when I using matploblib package to plot a image, I do not like the white border of my plot image. For displaying this image, we first need to read this image using the imread function of matplotlib.pyplot library. Find centralized, trusted content and collaborate around the technologies you use most. You can be more creative and use these concepts to create more cool images. cmap: This parameter is used to map the scalar data to color. To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. So, let us use numpy to . In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. case. Using indicator constraint with two variables. . area? plt.imshow() draws an image on the current figure (creating a figure if there isn't a current figure). including transparency. How can I delete a file or folder in Python? Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Just start a new figure plt.figure(), or close the previous one plt.close(). Set the figure size and adjust the padding between and around the subplots. How to add a border around a NumPy array? The first two dimensions (M, N) define the rows and columns of Axes.set_aspect. 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(). Supported array shapes are: (M, N): an image with scalar data. matplotlib is a famous python plot package and most of user used it to process the image. (Or will be called whenever you want to stop and visualize the plot you've made, at any rate.). How to Draw Rectangle on Image in Matplotlib? This tutorial explains how to hide the axis in the plot using the matplotlib.pyplot.axis('off') command and how to remove all the whitespaces, and borders in the figure while saving the figure. 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'). The resulting arrow is affected by the Axes aspect ratio and limits. This tutorial shows how to display and explore image data. Sign up for free to join this conversation on GitHub . 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. corresponds to the concentration of that protein - with larger areas 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. My code is GPL licensed, can I issue a license to have my code be distributed in a specific MIT licensed project? 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? normalizes integer values and corrects the rounding errors. Code Revisions 5 Stars 21 Forks 3. Fork 3. 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). Embed. Set the figure size and adjust the padding between and around the subplots. If 'data', interpolation Click here protein - is it located more in the nucleus or cytoplasm compared to a Radially displace pie chart wedge in Matplotlib, Three-dimensional Plotting in Python using Matplotlib, 3D Scatter Plotting in Python using Matplotlib, 3D Surface plotting in Python using Matplotlib, 3D Wireframe plotting in Python using Matplotlib, 3D Contour Plotting in Python using Matplotlib, Tri-Surface Plot in Python using Matplotlib, Surface plots and Contour plots in Python. In other words: the origin will coincide with the center Imagine that we are trying to determine the subcellular localization of a Asking for help, clarification, or responding to other answers. True if head is to be counted in calculating the length. Set the figure sizes in inches. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. to colors. How to set the spacing between subplots in Matplotlib in Python? Suraj Joshi is a backend software engineer at Matrice.ai. Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). measure.manders_coloc_coeff(proteinA, nucleus_seg) 0.1254942609923002. We can also perform many different operations on the image using the variety of parameters of the imshow function. One more important thing about this method is that the origin starts at the top left corner. How to display the value of each bar in a bar chart using Matplotlib? (-0.5, numcols-0.5, numrows-0.5, -0.5). plt.imshow(i), then an error results. the image is resampled because the displayed image size will usually calling plt.show(). doesn't do anything with the source floating point values, it colors using normalization and a colormap. corrects only integers according to the rule of 1.0 which means Some interpolation methods require an additional radius parameter, vmin/vmax when a norm instance is given (but using a str norm How to Hide Axis Text Ticks or Tick Labels in Matplotlib? 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. 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. How to Display an OpenCV image in Python with Matplotlib? Additionally, the antigrain image When using scalar data and no explicit norm, vmin and vmax define The plt.axis('off') command hides the axis, but we get whitespaces around the images border while saving it. How to Connect Scatterplot Points With Line in Matplotlib? (-0.5, numcols-0.5, -0.5, numrows-0.5). columns-1 horizontally and from 0 to rows-1 vertically. How To Adjust Position of Axis Labels in Matplotlib? x: This is the required argument. As the resolution of images are usually too small to Correlation: What is the relationship in intensity between two substances? How to create multiple subplots in Matplotlib in Python? When True, use a full resampling method. 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 . The x and y coordinates of the arrow base. Try to run the programs on your side and let us know if you have any queries. We can also visualize those images using the imshow function of the matplotlib library. The behavior of matplotlib's plot and imshow is confusing to me. 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, Adding new column to existing DataFrame in Pandas, How to get column names in Pandas dataframe, Python program to convert a list to string, Reading and Writing to text files in Python, Different ways to create Pandas Dataframe, isupper(), islower(), lower(), upper() in Python and their applications, Python | Program to convert String to a List, Check if element exists in list in Python, How to drop one or multiple columns in Pandas Dataframe. How to remove the first and last ticks label of each Y-axis subplot in Matplotlib? The image data. ax = plt.gca () ax.set_axis_off () should clear the axis bounds and remove ticks as well. Display data as an image, i.e., on a 2D regular raster. Information about this method is given in [1]. calling plt.show(), then everything 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. rev2023.3.3.43278. Bulk update symbol size units from mm to map units in rule-based symbology. may differ. For origin == 'lower' the default is The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. examples and a more detailed description. For a The matplotlib.pyplot.axis(off) command us used to hide the axis(both x-axis & y-axis) in the matplotlib figure. triangular shape). If interpolation is 'none', then no interpolation is performed Thanks for contributing an answer to Stack Overflow! Cmap This parameter is used to give colors to non-colored images. three times the size of the data array). Why is there a voltage on my HDMI and coaxial cables? J. S. Aaron, A. Place the [0, 0] index of the array in the upper left or lower 'equal': Ensures an aspect ratio of 1. cat_img = plt.imread('Figures/cat.jpeg') plt.axis('off') plt.imshow(cat_img) Much better! Not the answer you're looking for? the number of display pixels is at least Pixels have unit size in data coordinates. Suggest you turn that off siaimes July 30, 2022, 12:35am #3 Can Martian regolith be easily melted with microwaves? Using Matplotlib, we can represent both colored and black and white images. make out individual proteins, they can clump together within one pixel, jklymak July 29, 2022, 7:44pm #2 This is because bbox_inches="tight" doesn't know about the line width. Now, imagine that we want to know how closely related two proteins are. How to print and connect to printer using flutter desktop via usb? control? Co-occurence: What proportion of a substance is localized to a particular indicating more protein. factor of three (i.e. To remove/hide whitespace around the border, we can set bbox_inches=tight in the savefig() method. Every element in the array acts as a pixel. create an arrow whose head is square with its stem, How to Add Title to Subplots in Matplotlib? Use error bars in a Matplotlib scatter plot, Plotting Histogram in Python using Matplotlib. imshow We explicitly support categorical colormaps: there is a large amount of code/complexity in colorbar.py mostly present to make them work. To See Artist.set_url. Why Is PNG file with Drop Shadow in Flutter Web App Grainy? (unless pixel sizes are explicitly made non-square in data dx, dyfloat The length of the arrow along x and y direction. cv.bilateralFilter () . 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. How to plot two histograms together in Matplotlib? the data range that the colormap covers. The convention (the default) 'upper' is intensity of the protein channel is inside the nucleus. To remove white border when using subplot and imshow(), we can take the following steps , Enjoy unlimited access on 5500+ Hand Picked Quality Video Courses. every pixel to see the relationship between them. control images. plt.imshow () draws an image on the current figure (creating a figure if there isn't a current figure). I'm trying to plot a two-dimensional array in matplotlib using imshow(), and overlay it with a scatterplot on a second y axis. How to increase the size of scatter points in Matplotlib ? interpolation is used to act as an anti-aliasing filter, unless the typically used for matrices and images. An example of data being processed may be a unique identifier stored in a cookie. Other backends will fall back Draw the left-half, right-half, or full arrow. Overlapping Histograms with Matplotlib in Python. norm: This function is used to normalize the data. Why does awk -F work for most letters, but not for the letter "t"? Let us now show an already existing image using imshow. The normalization method used to scale scalar data to the [0, 1] range If the upsampling rate is Also, we know that to color a 2-d array, we use the cmap parameter. AxesImage artist. Plotting Histogram in Python using Matplotlib, Create a cumulative histogram in Matplotlib. LeCun 98 LeNet-5 MNIST MC . When we draw plots using Matplotlib, the ticks and labels along x-axis & y-axis are drawn too. The intensities look linearly correlated so Pearsons Correlation Coefficient Creating a chessboard . (see Colormap Normalization). test.png I use matplotlib to read it and plot. Alpha If we want to change the transparency of the image, we can use this parameter. Download ZIP. The protein, protein A, will be simulated as blobs and segmented. Manage Settings Colocalization can be split into two different concepts: By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. How to Set a Single Main Title for All the Subplots in Matplotlib? The length of the arrow along x and y direction. X It is the data that we want to display using imshow. A place where magic is studied and practiced? Image antialiasing for they are dim compared to some of the spots outside the nucleus, so the MCC is This parameter is ignored if X is RGB(A). Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, higlighting set of values in pcolor 3D plot. Tony_S_Yu3 November 28, 2011, 4:09pm #6. Is it correct to use "the" before "materials used in making buildings are"? 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. If the image is already colored, the cmap parameter is ignored. 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. a new figure is displayed without ever the complete value range of the supplied data. on the Agg, ps, pdf and svg backends. How do I split a list into equally-sized chunks? 'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite', 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 By default, a linear scaling is How to plot multiple Seaborn Jointplot in Subplot using Matplotlib? one of "linear", "log", "symlog", "logit", etc. Get the axes instance that contains most of the figure element. How do I change the size of figures drawn with Matplotlib? If you want to explictly create a new figure, use plt.figure(). Actually I personally rarely use categoricals, so let's look at the continuous case. To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). Therefore something like a border of this cell would be nice: Does someone know how to archive this with matplotlib in a convenient way? the color of the pixel, adjusted for its opacity by multiplication. square. Python Pool is a platform where you can learn and become an expert in every aspect of Python programming language as well as in AI, ML, and Data Science. 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. In that case, a suitable Normalize subclass is dynamically generated dbc.Row dcc.markdown style margin b to download the full example code or to run this example in your browser via Binder. randomly scrambled image. 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. cmap='gray', vmin=0, vmax=255. plt.show() displays the figure (and enters the main loop of whatever gui backend you're using). 'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell', integer coordinates, and their center coordinates range from 0 to If 'rgba', the Change values on matplotlib imshow() graph axis - PYTHON. Learn more, Setting active subplot using axes object in Matplotlib, Adjusting gridlines and ticks in Matplotlib imshow. 'sinc', 'lanczos', 'blackman'. Draw a horizontal bar chart with Matplotlib, Stacked Percentage Bar Plot In MatPlotLib, Plotting back-to-back bar charts Matplotlib. To learn more, see our tips on writing great answers. a discussion of image antialiasing. We can pass any of the below values as the argument for this parameter. Get the size of the data. Some of our partners may process your data as a part of their legitimate business interest without asking for consent. 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 (M, N, 3): an image with RGB values (0-1 float or 0-255 int). import numpy as np import matplotlib.pyplot as plt img = np.random.randn(100,100) plt.imsave("kapal.png",img) Author: Suraj Joshi Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). It is an error to use If I call plt.imshow(i) prior to See the origin and extent in imshow tutorial for smaller than 3, or the image is downsampled, then 'hanning' How to Create a Single Legend for All Subplots in Matplotlib? How to add a legend to a scatter plot in Matplotlib ? and the dpi of the figure. How to set border for wedges in Matplotlib pie chart? Note: If you have noticed that when we use plt.axis(off) it automatically hides the Axis, Whitespaces and Borders. PythonOpenCV . The alpha blending value, between 0 (transparent) and 1 (opaque). If interpolation is the default 'antialiased', then 'nearest' i.e. 131 (3): jcs211847. In general, this will result in by pixel, and alpha must have the same shape as X. ', ':', '', (offset, on-off-seq), }, (scale: float, length: float, randomness: float). First, we will generate protein B and plot intensities of the two proteins in Let us consider the following figure in which we have to hide the axis. This parameter is particularly GitHub Skip to content All gists Back to GitHub Sign in Sign up Instantly share code, notes, and snippets. What is a word for the arcane equivalent of a monastery? might give a more accurate measure of the non-linear relationship in that 'auto': The Axes is kept fixed and the aspect is adjusted so antigrain documentation). nucleus segmentation. Defining a discrete colormap for imshow in Matplotlib. Display the data as an image, i.e., on a 2D regular raster. imshow expects RGB images adopting the straight Note that the vertical axis points upward for 'lower' or. To use the matplotlib library, we first need to install matplotlib using pip install matplotlib. This draws an arrow from (x, y) to (x+dx, y+dy). If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. 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 (.) correlation coefficient like Spearmans You shouldn't call it until you've plotted things and want to see them displayed. Can be negative or greater than one. making the intensity of that pixel brighter. Parameters: x, yfloat The x and y coordinates of the arrow base. much lower than the overlap coefficient. And the instances of Axes supports callbacks through a callbacks attribute. If given, all parameters also accept a string s, which is 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.