Note that the direction of the vertical axis and thus the default How to (mostly) remove all borders and padding with matplotlib. Note: If you have noticed that when we use plt.axis(off) it automatically hides the Axis, Whitespaces and Borders. matplotlib is a famous python plot package and most of user used it to process the image. To remove white border when using subplot and imshow (), we can take the following steps . Note that most SVG renderers perform interpolation at Therefore something like a border of this cell would be nice: (unassociated) alpha representation. For opaque image, use 1 as the argument for this parameter. A rank-based to 'nearest'. 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. How to Turn Off the Axes for Subplots in Matplotlib? Their centers are on In this example, we demonstrate the use of different metrics to assess the doi: https://doi.org/10.1242/jcs.211847. Add perpendicular caps to error bars in Matplotlib. In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. Do new devs get fired if they can't solve a certain bug? Plot a pie chart in Python using Matplotlib. Correlation: What is the relationship in intensity between two substances? they are dim compared to some of the spots outside the nucleus, so the MCC is (see Colormap Normalization). How to Make a Time Series Plot with Rolling Average in Python? cmap, vmin, vmax. What sort of strategies would a medieval military use against a fantasy giant? How to remove the outline of a circle marker when using pyplot.plot in Matplotlib? Using matplotlib.pyplot.tight_layout () may solve your problem. Using the Matplotlib Imshow Function. corresponds to the concentration of that protein - with larger areas Matlab imshow border . It hides both the X-axis and Y-axis in the figure. 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. Add border around histogram bars. One more important thing about this method is that the origin starts at the top left corner. (M, N, 3): an image with RGB values (0-1 float or 0-255 int). Why is there a voltage on my HDMI and coaxial cables? The alpha blending value, between 0 (transparent) and 1 (opaque). to download the full example code or to run this example in your browser via Binder. Set the figure size and adjust the padding between and around the subplots. Not the answer you're looking for? How to set border for wedges in Matplotlib pie chart? measure.manders_coloc_coeff(proteinA, nucleus_seg) 0.1254942609923002. matplotlib.pyplot.arrow(x, y, dx, dy, **kwargs) [source] # Add an arrow to the Axes. The default extent is determined by the following conditions. Manage Settings In that case, a suitable Normalize subclass is dynamically generated antigrain documentation). Norm This parameter is used to normalize the color values from 0.0 to 1.0. If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. How to Place Legend Outside of the Plot in Matplotlib? By default, the colormap covers Calling plt.show () before you've drawn anything doesn't make . Flutter change focus color and icon color but not works. Also, we know that to color a 2-d array, we use the cmap parameter. User Input | Input () Function | Keyboard Input, Python Help Function | How to make use of Python Help. We know that the chessboard is an 88 matrix with only two colors i.e., white and black. 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. channel: Straight (unassociated) alpha: R, G, and B channels represent the on the Agg, ps, pdf and svg backends. before mapping to colors using cmap. Click here The basic function of Matplotlib Imshow is to show the image object. rev2023.3.3.43278. MNIST 76 1 . The intensities look linearly correlated so Pearsons Correlation Coefficient How do I concatenate two lists in Python? This may produce an arrow whose head is not square with its stem. In the case of catgorical colormaps your assumptions completely break down (as you stated yourself). How to display the value of each bar in a bar chart using Matplotlib? (M, N, 4): an image with RGBA values (0-1 float or 0-255 int), colors using normalization and a colormap. Set xticks and yticks using set_xticks and set_yticks method. 'auto': The Axes is kept fixed and the aspect is adjusted so To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. interpreted as data[s] (unless this raises an exception). the number of display pixels is at least I am working in the same location where the image is present, so I can just write the name of the image along with its extension. Is it possible to create a concave light? Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? To learn more, see our tips on writing great answers. 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 plot multiple Seaborn Jointplot in Subplot using Matplotlib? x: This is the required argument. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, How to mark cells in matplotlib.pyplot.imshow (drawing cell borders), How Intuit democratizes AI development across teams through reusability. We have to give the path of this image to the imread function. Why Is PNG file with Drop Shadow in Flutter Web App Grainy? These parameters are passed on to the constructor of the See parameters norm, a discussion of image antialiasing. Is it correct to use "the" before "materials used in making buildings are"? 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? Premultiplied (associated) alpha: R, G, and B channels represent a new figure is displayed without ever and the dpi of the figure. ax = plt.subplot (projection=ccrs.Robinson ()) (ds.isel (time= [0, 4, 8])).plot.imshow (robust=True, ax=ax, transform=ccrs.PlateCarree ()) To subscribe to this RSS feed, copy and paste this URL into your RSS reader. plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). How to Create a Single Legend for All Subplots in Matplotlib? If I call plt.show() prior to calling plt.imshow(i), then an error results. The resulting arrow is affected by the Axes aspect ratio and limits. By default, a linear scaling is Can be negative or greater than one. that any sum of pixel weights must be equal to 1.0. list of available scales, call matplotlib.scale.get_scale_names(). Sign up for free to join this conversation on GitHub . When False, only As Matplotlib is generally used for data visualization, images can be a part of data, and to check it, we can use imshow. Any of the operations that we perform on an image using programming languages, we perform on the arrays of numbers. ', '*'}, {'-', '--', '-. There are two common representations for RGB images with an alpha channel: that the data fit in the Axes. 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 How to Display an Image in Grayscale in Matplotlib? When using scalar data and no explicit norm, vmin and vmax define In programming, one is used for bright color, and 0 is used for dark/dull colors. color of the pixel, disregarding its opacity. If given, this can be one of the following: An instance of Normalize or one of its subclasses Agree My code is GPL licensed, can I issue a license to have my code be distributed in a specific MIT licensed project? Plotting Histogram in Python using Matplotlib, Create a cumulative histogram in Matplotlib. Interpolations for imshow Other backends will fall back intensity of the protein channel is inside the nucleus. This parameter is particularly 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. Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. Information about this method is given in [1]. Now the origin starts from lower left. Remove or adapt the border of the frame of legend using matplotlib. After you have successfully installed matplotlib library, use the below code to use the imshow function. 131 (3): jcs211847. factor of three (i.e. The filter radius for filters that have a radius parameter, i.e. Get the axes instance that contains most of the figure element. calling plt.show(). would give us a good measure of how strong the association is. How to change angle of 3D plot in Python? To hide the axis, we can use the command matplotlib.pyplot.axis('off'). How to print and connect to printer using flutter desktop via usb? Matplotlib is a library in python that is built over the numpy library and is used to represent different plots, graphs, and images using numbers. The behavior of matplotlib's plot and imshow is confusing to me. Get the axes instance that contains most of the figure element. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. will be rendered as a pseudocolor image. coordinates. This draws an arrow from (x, y) to (x+dx, y+dy). The number of pixels used to render an image is set by the Axes size The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. Notes Unless extent is used, pixel centers will be located at integer coordinates. So, let us use numpy to . 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. 'sinc', 'lanczos', 'blackman'. How to add a legend to a scatter plot in Matplotlib ? the data range that the colormap covers. Axes.set_aspect. Share Follow edited Jul 8, 2015 at 11:27 Let us study everything in detail. If interpolation is 'none', then no interpolation is performed To remove/hide whitespace around the border, we can set bbox_inches=tight in the savefig() method. You shouldn't call it until you've plotted things and want to see them displayed. 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. We can change it using the origin parameter. control images. import matplotlib.pyplot as plt import numpy as np data = np.random.rand (8, 8) plt.imshow (data, origin='lower', interpolation='None', aspect='equal') plt.axis ('off') plt.tight_layout () plt.show () Share Improve this answer Follow answered Feb 16, 2022 at 21:44 arthropode by pixel, and alpha must have the same shape as X. This parameter is ignored if X is RGB(A). In this article, we will see how can we can add a border around histogram bars in our graph using matplotlib, Here we will take two different examples to showcase our graph. This array consists of the points. InputArraysrc8. If 'rgba', the Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. 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. Display data as an image, i.e., on a 2D regular raster. interpolation is used if the image is upsampled by more than a ax = plt.gca () ax.set_axis_off () should clear the axis bounds and remove ticks as well. plt.imshow(i), then an error results. Calling plt.show() before you've drawn anything doesn't make any sense. dbc.Row dcc.markdown style margin b 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). Try to run the programs on your side and let us know if you have any queries. To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. 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. For origin == 'lower' the default is So, to better capture the I'm trying to plot a two-dimensional array in matplotlib using imshow(), and overlay it with a scatterplot on a second y axis. 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. The input may either be actual RGB(A) data, or 2D scalar data, which cat_img = plt.imread('Figures/cat.jpeg') plt.axis('off') plt.imshow(cat_img) Much better! 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. Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. If I call plt.imshow(i) prior to calling plt.show(), then everything works perfectly. works perfectly. Supported array shapes are: (M, N): an image with scalar data. See the origin and extent in imshow tutorial for interpolation is carried out after the colormapping has been and instantiated. First, we will generate protein B and plot intensities of the two proteins in Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method. J. S. Aaron, A. typically used for matrices and images. vmin/vmax when a norm instance is given (but using a str norm Sometimes the intensities are correlated but not in a linear way. Embed. every pixel to see the relationship between them. cmap='gray', vmin=0, vmax=255. This metric is (unless pixel sizes are explicitly made non-square in data 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. (Or will be called whenever you want to stop and visualize the plot you've made, at any rate.). 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. This argument takes an array as a value. How to Create Different Subplot Sizes in Matplotlib? Create random data points using numpy. , imshow , . 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() . Displaying RBG image data with px.imshow px.imshow displays multichannel (RGB) or single-channel ("grayscale") image data. 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.