We can change it using the origin parameter. How to Set Plot Background Color in Matplotlib? How to plot two histograms together in Matplotlib? Embed. typically used for matrices and images. Use multiple columns in a Matplotlib legend. In this image, while there are a lot of protein A spots within the nucleus resample when the output image is larger than the input image. 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. How To Adjust Position of Axis Labels in Matplotlib? We will better understand when we look at an example. Using the Matplotlib Imshow Function. But when I using matploblib package to plot a image, I do not like the white border of my plot image. 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. rendering and that the default interpolation method they implement For Grey images, it is a 2-D array, and for colored images, we use 3-D images. interpreted as data[s] (unless this raises an exception). But now I want to mark a specific cell, in order to focus the reader on that cell. Set the figure size and adjust the padding between and around the subplots. 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 (unassociated) alpha representation. These parameters are passed on to the constructor of the How to display the value of each bar in a bar chart using Matplotlib? When False, only Total running time of the script: ( 0 minutes 0.481 seconds), Download Python source code: plot_colocalization_metrics.py, Download Jupyter notebook: plot_colocalization_metrics.ipynb, We hope that this example was useful. Therefore something like a border of this cell would be nice: Does someone know how to archive this with matplotlib in a convenient way? Use error bars in a Matplotlib scatter plot, Plotting Histogram in Python using Matplotlib. The protein, protein A, will be simulated as blobs and segmented. ', ':', '', (offset, on-off-seq), }, (scale: float, length: float, randomness: float). You shouldn't call it until you've plotted things and want to see them displayed. It saves the images without any axis, borders, and whitespaces using the savefig() method. cmap='gray', vmin=0, vmax=255. By default, the colormap covers Python3 from matplotlib import pyplot as plt How to follow the signal when reading the schematic? 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. It 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', '. What sort of strategies would a medieval military use against a fantasy giant? protein concentration, we may choose to determine what proportion of the Get the axes instance that contains most of the figure element. Create random data points using numpy. known as Manders Colocalization Coefficient. We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave() method. the data range that the colormap covers. Asking for help, clarification, or responding to other answers. randomly scrambled image. By default, a linear scaling is Matplotlib.axis.Axis.get_minorticklines() function in Python, Matplotlib.axis.Axis.set_figure() function in Python, Matplotlib.axis.Axis.remove_overlapping_locs() function in Python, Matplotlib.axis.Axis.set_tick_params() in Python, Matplotlib.axis.Axis.get_figure() function in Python, Matplotlib.axis.Axis.cla() function in Python, Matplotlib.axis.Axis.get_major_locator() function in Python, Matplotlib.axis.Axis.get_major_formatter() function in Python. Turn off the axes. If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. co-occurrence versus correlation. Information about this method is given in [1]. 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 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. In other words: the origin will coincide with the center If I call plt.imshow(i) prior to calling plt.show(), then everything works perfectly. We have to give the path of this image to the imread function. unanswered by our documentation, you can ask them on the, # generating protein B data that is correlated to protein A for demo. the color of the pixel, adjusted for its opacity by multiplication. One more important thing about this method is that the origin starts at the top left corner. Calculate the area of an image using Matplotlib. Thanks for contributing an answer to Stack Overflow! You can be more creative and use these concepts to create more cool images. We then need to import the submodule pyplot, which contains the imshow function. How to create multiple subplots in Matplotlib in Python? So, to better capture the So, the My code is GPL licensed, can I issue a license to have my code be distributed in a specific MIT licensed project? columns-1 horizontally and from 0 to rows-1 vertically. applied (visual interpolation). Remove or adapt the border of the frame of legend using matplotlib. 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. How to Hide Axis Text Ticks or Tick Labels in Matplotlib? Note that the vertical axis points upward for 'lower' Plot a pie chart in Python using Matplotlib. Note: If you have noticed that when we use plt.axis(off) it automatically hides the Axis, Whitespaces and Borders. For a And the instances of Axes supports callbacks through a callbacks attribute. and the dpi of the figure. 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. cmap: This parameter is used to map the scalar data to color. How to add a border around a NumPy array? To learn more, see our tips on writing great answers. How to add legend to imshow() in Matplotlib? and assume that whatever is not in the nucleus is in the cytoplasm. Place the [0, 0] index of the array in the upper left or lower Every element in the array acts as a pixel. Other backends will fall back How to Change Legend Font Size in Matplotlib? These values may be unitful and match the units of the Axes. If 'data', interpolation If filternorm is set, the filter Sometimes the intensities are correlated but not in a linear way. 2. Premultiplied (associated) alpha: R, G, and B channels represent when interpolation is one of: 'sinc', 'lanczos' or 'blackman'. (M, N, 4): an image with RGBA values (0-1 float or 0-255 int), Any of the operations that we perform on an image using programming languages, we perform on the arrays of numbers. And for a completely transparent image, use 0. Image antialiasing for Displaying RBG image data with px.imshow px.imshow displays multichannel (RGB) or single-channel ("grayscale") image data. ax = plt.subplot (projection=ccrs.Robinson ()) (ds.isel (time= [0, 4, 8])).plot.imshow (robust=True, ax=ax, transform=ccrs.PlateCarree ()) channel: Straight (unassociated) alpha: R, G, and B channels represent the works perfectly. plt.imshow() draws an image on the current figure (creating a figure if there isn't a current figure). 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. See the origin and extent in imshow tutorial for This parameter is particularly Now, imagine that we want to know how closely related two proteins are. In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. Raw. integer coordinates, and their center coordinates range from 0 to As we know that colored images are stored in a 3-d array (the third dimension represents RGB( Red, Green, Blue) colors). How to Display an Image in Grayscale in Matplotlib? As the resolution of images are usually too small to Defining a discrete colormap for imshow in Matplotlib. Fraction that the arrow is swept back (0 overhang means Increase the thickness of a line with Matplotlib. measure.manders_coloc_coeff(proteinA, nucleus_seg) 0.1254942609923002. We and our partners use cookies to Store and/or access information on a device. 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? How to Set Tick Labels Font Size in Matplotlib? Matlab imshow border . for example, with from pylab import * delta = 0.025 x = y = arange(-3.0, 3.0, How to remove the outline of a circle marker when using pyplot.plot in Matplotlib? 1. python matplotlib imshowplt.imshow (x_train [0])plt.imshow (x_train [0])plt.show () python matplotlib python matplotlib importimport osfrom PIL import Imageimport matplot. factor of three (i.e. We know that the chessboard is an 88 matrix with only two colors i.e., white and black. 'auto': The Axes is kept fixed and the aspect is adjusted so How To Annotate Bars in Barplot with Matplotlib in Python? create an arrow whose head is square with its stem, (M, N, 3): an image with RGB values (0-1 float or 0-255 int). In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. Actually I personally rarely use categoricals, so let's look at the continuous case. AxesImage artist. name together with vmin/vmax is acceptable). Click here to 'nearest'. Tony_S_Yu3 November 28, 2011, 4:09pm #6. plt.imshow(i), then an error results. Notes Unless extent is used, pixel centers will be located at integer coordinates. The filter radius for filters that have a radius parameter, i.e. To hide the axis, we can use the command matplotlib.pyplot.axis('off'). Is it correct to use "the" before "materials used in making buildings are"? a discussion of image antialiasing. How to add a legend to a scatter plot in Matplotlib ? We can pass any of the below values as the argument for this parameter. Additionally, the antigrain image the complete value range of the supplied data. It saves the images without any axis, borders, and whitespaces using the savefig () method. cmap, vmin, vmax. Not the answer you're looking for? the image is resampled because the displayed image size will usually We can clearly observe the change between the above two images. 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. Co-occurence: What proportion of a substance is localized to a particular examples and a more detailed description. What is a word for the arcane equivalent of a monastery? See Artist.set_url. To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). GreyScale images can be visualized using a 2-Dimensional array, and colored images are displayed using a 3-Dimensional array. Unless extent is used, pixel centers will be located at integer How to Add Title to Subplots in Matplotlib? This is ignored in the case of colored images. including transparency. test.png I use matplotlib to read it and plot. To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. How To Annotate Bars in Barplot with Matplotlib in Python? How to Place Legend Outside of the Plot in Matplotlib? This draws an arrow from (x, y) to (x+dx, y+dy). Because this is of specific interest. How to Connect Scatterplot Points With Line in Matplotlib? 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 default extent is determined by the following conditions. Let us now see how we can display the following cat using the imshow function. An example by adding a black border "constant_values=0": Connect and share knowledge within a single location that is structured and easy to search. How to remove the first and last ticks label of each Y-axis subplot in Matplotlib? We know that the chessboard is an 88 matrix with only two colors i.e., white and black. antigrain documentation). We can make this image more or less transparent using the alpha parameter. How to Create Different Subplot Sizes in Matplotlib? 'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite', Matplotlib Matplotlib matplotlib.pyplot.axis ('off') Matplotlib matplotlib.pyplot.axis ('off') import numpy as np import matplotlib.pyplot as plt img = np.random.randn(10,10) plt.imshow(img) plt.axis('off') plt.show() 3.4. The behavior of matplotlib's plot and imshow is confusing to me. Share Follow edited Jul 8, 2015 at 11:27 There are many more parameters in imshow, but these are the most important ones. plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). If interpolation is the default 'antialiased', then 'nearest' Agree 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? filter function must produce a graph of the proper shape. The resulting arrow is affected by the Axes aspect ratio and limits. This draws an arrow from (x, y) to (x+dx, y+dy). 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 . Hide Axis, Borders and White Spaces in Matplotlib, Visualization of Merge sort using Matplotlib, Visualization of Quick sort using Matplotlib, 3D Visualisation of Quick Sort using Matplotlib in Python, 3D Visualisation of Merge Sort using Matplotlib, 3D Visualisation of Insertion Sort using Matplotlib in Python. import numpy as np import matplotlib.pyplot as plt img = np.random.randn(100,100) plt.imsave("kapal.png",img) Author: Suraj Joshi In general, this will result in nucleus segmentation. 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'). To remove white border when using subplot and imshow (), we can take the following steps . Their centers are on Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. How to change angle of 3D plot in Python? Using Kolmogorov complexity to measure difficulty of problems? InputArraysrc8. It is an error to use How to delete only one row in CSV with Python. 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. When we draw plots using Matplotlib, the ticks and labels along x-axis & y-axis are drawn too. Plotting Histogram in Python using Matplotlib, Create a cumulative histogram in Matplotlib. 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 (). Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). Find centralized, trusted content and collaborate around the technologies you use most. Add border around histogram bars. If the image is already colored, the cmap parameter is ignored. Supported array shapes are: (M, N): an image with scalar data. Colocalization can be split into two different concepts: How to Display an OpenCV image in Python with Matplotlib? If I call plt.show() prior to calling By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Note that the direction of the vertical axis and thus the default How do I concatenate two lists in Python? {'full', 'left', 'right'}, default: 'full', Animated image using a precomputed list of images, matplotlib.animation.ImageMagickFileWriter, matplotlib.artist.Artist.format_cursor_data, matplotlib.artist.Artist.set_sketch_params, matplotlib.artist.Artist.get_sketch_params, matplotlib.artist.Artist.set_path_effects, matplotlib.artist.Artist.get_path_effects, matplotlib.artist.Artist.get_window_extent, matplotlib.artist.Artist.get_transformed_clip_path_and_affine, matplotlib.artist.Artist.is_transform_set, matplotlib.axes.Axes.get_legend_handles_labels, matplotlib.axes.Axes.get_xmajorticklabels, matplotlib.axes.Axes.get_xminorticklabels, matplotlib.axes.Axes.get_ymajorticklabels, matplotlib.axes.Axes.get_yminorticklabels, matplotlib.axes.Axes.get_rasterization_zorder, matplotlib.axes.Axes.set_rasterization_zorder, matplotlib.axes.Axes.get_xaxis_text1_transform, matplotlib.axes.Axes.get_xaxis_text2_transform, matplotlib.axes.Axes.get_yaxis_text1_transform, matplotlib.axes.Axes.get_yaxis_text2_transform, matplotlib.axes.Axes.get_default_bbox_extra_artists, matplotlib.axes.Axes.get_transformed_clip_path_and_affine, matplotlib.axis.Axis.remove_overlapping_locs, matplotlib.axis.Axis.get_remove_overlapping_locs, matplotlib.axis.Axis.set_remove_overlapping_locs, matplotlib.axis.Axis.get_ticklabel_extents, matplotlib.axis.YAxis.set_offset_position, matplotlib.axis.Axis.limit_range_for_scale, matplotlib.axis.Axis.set_default_intervals, matplotlib.colors.LinearSegmentedColormap, matplotlib.colors.get_named_colors_mapping, matplotlib.gridspec.GridSpecFromSubplotSpec, matplotlib.pyplot.install_repl_displayhook, 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, 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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, 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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.