This metric is Learn more, Setting active subplot using axes object in Matplotlib, Adjusting gridlines and ticks in Matplotlib imshow. When using scalar data and no explicit norm, vmin and vmax define Is it possible to create a concave light? and the dpi of the figure. Plot a Point or a Line on an Image with Matplotlib. protein concentration, we may choose to determine what proportion of the A place where magic is studied and practiced? Image antialiasing). Put a rectangle at the position of the pixel you want to highlight. Thanks for contributing an answer to Stack Overflow! 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. Some of our partners may process your data as a part of their legitimate business interest without asking for consent. correlation coefficient like Spearmans When False, only It saves the images without any axis, borders, and whitespaces using the savefig() method. How to determine a Python variable's type? to download the full example code or to run this example in your browser via Binder. Create random data points using numpy. If I call plt.show() prior to calling plt.imshow(i), then an error results. This array consists of the points. Do you know that images are represented in the form of numbers in computer programming? Some interpolation methods require an additional radius parameter, So, let us use numpy to . We begin by segmenting the nucleus of a sample image as described in another How to add a border around a NumPy array? By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. For a randomly scrambled image. Mutually exclusive execution using std::atomic? A parameter for the antigrain image resize filter (see the Let us study everything in detail. PythonOpenCV . Using the Matplotlib Imshow Function. Information about this method is given in [1]. Plot a pie chart in Python using Matplotlib. list of available scales, call matplotlib.scale.get_scale_names(). How to set border for wedges in Matplotlib pie chart? 3.4. will be rendered as a pseudocolor image. every pixel to see the relationship between them. the complete value range of the supplied data. For example, I want to show test.png picture. rendering and that the default interpolation method they implement norm: This function is used to normalize the data. After you have successfully installed matplotlib library, use the below code to use the imshow function. test.png I use matplotlib to read it and plot. As we know that colored images are stored in a 3-d array (the third dimension represents RGB( Red, Green, Blue) colors). 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. 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. non-square pixels. matplotlib.axes.Axes.imshow () Function cv.bilateralFilter () . In other words: the origin will coincide with the center doesn't do anything with the source floating point values, it Calling plt.show() before you've drawn anything doesn't make any sense. J. S. Aaron, A. So, let us use numpy to create a numpy array consisting of two numbers 0 and 1. 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 (). interpolation is used if the image is upsampled by more than a How to Display an OpenCV image in Python with Matplotlib? typically used for matrices and images. Can be negative or greater than one. one of "linear", "log", "symlog", "logit", etc. widthfloat, default: 0.001 Width of full arrow tail. How to Change the Transparency of a Graph Plot in Matplotlib with Python? dbc.Row dcc.markdown style margin b Interpolations for imshow channel: Straight (unassociated) alpha: R, G, and B channels represent the As we can see that we have got the desired matrix, but the colors are not adequate. If alpha is an array, the alpha blending values are applied pixel See there for further details. LeCun 98 LeNet-5 MNIST MC . How do I change the size of figures drawn with Matplotlib? It hides both the X-axis and Y-axis in the figure. The resampling can be controlled via the interpolation parameter Suraj Joshi is a backend software engineer at Matrice.ai. We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave () method. much lower than the overlap coefficient. 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. Use multiple columns in a Matplotlib legend. We will better understand when we look at an example. If I call plt.show() prior to calling Working with Images in Python using Matplotlib, Python | Working with PNG Images using Matplotlib. Note that most SVG renderers perform interpolation at Imagine that we are trying to determine the subcellular localization of a Raw. In this example, we demonstrate the use of different metrics to assess the (M, N, 4): an image with RGBA values (0-1 float or 0-255 int), works perfectly. plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). when interpolation is one of: 'sinc', 'lanczos' or 'blackman'. example x: This is the required argument. If the upsampling rate is Get the axes instance that contains most of the figure element. Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. for example, with from pylab import * delta = 0.025 x = y = arange(-3.0, 3.0, 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 An example of data being processed may be a unique identifier stored in a cookie. and instantiated. In other words: the origin will coincide with the center of pixel (0, 0). 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. You can be more creative and use these concepts to create more cool images. Using indicator constraint with two variables. Why Is PNG file with Drop Shadow in Flutter Web App Grainy? The bounding box in data coordinates that the image will fill. When True, use a full resampling 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 (.) J Cell Sci 1 February 2018 The x and y coordinates of the arrow base. cmap: This parameter is used to map the scalar data to color. Why do small African island nations perform better than African continental nations, considering democracy and human development? Using matplotlib.pyplot.tight_layout () may solve your problem. We can pass any of the below values as the argument for this parameter. 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. Supported array shapes are: (M, N): an image with scalar data. 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.. We can clearly observe the change between the above two images. The values are mapped to 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'). How to manually add a legend with a color box on a Matplotlib figure ? GitHub Skip to content All gists Back to GitHub Sign in Sign up Instantly share code, notes, and snippets. 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. used, mapping the lowest value to 0 and the highest to 1. See parameters norm, antigrain documentation). How do I concatenate two lists in Python? This parameter is ignored if X is RGB(A). How to Annotate Bars in Grouped Barplot in Python? resample when the output image is larger than the input image. True if head is to be counted in calculating the length. How to delete only one row in CSV with Python. 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. How To Annotate Bars in Barplot with Matplotlib in Python? How to add legend to imshow() in Matplotlib? 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? Tony_S_Yu3 November 28, 2011, 4:09pm #6. The matplotlib.pyplot.imshow () function has only one required argument, and others are optional. For drawing creative graphs, many times we hide x-axis & y-axis. rev2023.3.3.43278. B. Taylor and T.-L. Chew, Image co-localization The image is stretched individually along x and y to fill the box. Set the url of the created AxesImage. That wouldn't happen unless you're running the code in something similar to ipython's pylab mode, where the gui backend's main loop will be run in a separate thread Generally speaking, plt.show() will be the last line of your script. Creating a chessboard . a new figure is displayed without ever After segmenting both the nucleus and the protein of interest, we can User Input | Input () Function | Keyboard Input, Python Help Function | How to make use of Python Help. How to Make a Time Series Plot with Rolling Average in Python? Moreover, the imshow method is also famous for the OpenCV module to show the images. Note: If you have noticed that when we use plt.axis(off) it automatically hides the Axis, Whitespaces and Borders. By using this website, you agree with our Cookies Policy. See the origin and extent in imshow tutorial for the number of display pixels is at least imshow We explicitly support categorical colormaps: there is a large amount of code/complexity in colorbar.py mostly present to make them work. And the instances of Axes supports callbacks through a callbacks attribute. coordinates using extent). The image data. This parameter is a shortcut for explicitly calling So, to better capture the Set the figure size and adjust the padding between and around the subplots. You shouldn't call it until you've plotted things and want to see them displayed. This may produce an arrow whose head is not square with its stem. Increase the thickness of a line with Matplotlib. But now I want to mark a specific cell, in order to focus the reader on that cell. Parameters: x, yfloat The x and y coordinates of the arrow base. integer coordinates, and their center coordinates range from 0 to 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. To learn more, see our tips on writing great answers. How do I split a list into equally-sized chunks? Change values on matplotlib imshow() graph axis - PYTHON. InputArraysrc8. There are two options for arguments auto and equal. matplotlib.pyplot.arrow(x, y, dx, dy, **kwargs) [source] # Add an arrow to the Axes. Get the axes instance that contains most of the figure element. When we use plt.axis(off) command it hides the axis, but we get whitespaces around the images border while saving it. If you want to import an image and to display it in a Matplotlib window, the Matplotlib function imread () works perfectly. We can make this image more or less transparent using the alpha parameter. Because this is of specific interest. smaller than 3, or the image is downsampled, then 'hanning' make out individual proteins, they can clump together within one pixel, As the resolution of images are usually too small to 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() . Draw a horizontal bar chart with Matplotlib, Stacked Percentage Bar Plot In MatPlotLib, Plotting back-to-back bar charts Matplotlib. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. Click here When we draw plots using Matplotlib, the ticks and labels along x-axis & y-axis are drawn too. Matlab imshow border . Try to run the programs on your side and let us know if you have any queries. Using Matplotlib, we can represent both colored and black and white images. The convention (the default) 'upper' is Turn off the axes. Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. co-occurrence versus correlation. The range is 0-1. This argument takes an array as a value. be used to compare the MCC value of the original image with that of the vmin/vmax when a norm instance is given (but using a str norm Making statements based on opinion; back them up with references or personal experience. (see Colormap Normalization). Star 21. Suggest you turn that off siaimes July 30, 2022, 12:35am #3 Axes.set_aspect. But when I using matploblib package to plot a image, I do not like the white border of my plot image. If 'rgba', the 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. Aspect This parameter is used to adjust the size of images. interpreted as data[s] (unless this raises an exception). Manage Settings (unassociated) alpha representation. If interpolation is 'none', then no interpolation is performed GreyScale images can be visualized using a 2-Dimensional array, and colored images are displayed using a 3-Dimensional array. Why does awk -F work for most letters, but not for the letter "t"? We can change it using the origin parameter. 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. This parameter is particularly doi: https://doi.org/10.1242/jcs.211847. to 'nearest'. not match the size of X (see cmap='gray', vmin=0, vmax=255. 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. Notes Unless extent is used, pixel centers will be located at integer coordinates. intensity of the protein channel is inside the nucleus. Set the figure sizes in inches. by pixel, and alpha must have the same shape as X. We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. ', '*'}, {'-', '--', '-. on the Agg, ps, pdf and svg backends. This can lead to aliasing artifacts when 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. the image is resampled because the displayed image size will usually 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. calling plt.show(), then everything In programming, one is used for bright color, and 0 is used for dark/dull colors. measure.manders_coloc_coeff(proteinA, nucleus_seg) 0.1254942609923002. 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By using our site, you 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, 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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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