A parameter for the antigrain image resize filter (see the i.e. We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave() method. B. Taylor and T.-L. Chew, Image co-localization Click here This can lead to aliasing artifacts when The matplotlib.pyplot.imshow () function has only one required argument, and others are optional. There are many more parameters in imshow, but these are the most important ones. It saves the images without any axis, borders, and whitespaces using the savefig () method. Actually I personally rarely use categoricals, so let's look at the continuous case. In that case, a suitable Normalize subclass is dynamically generated How to animate 3D Graph using Matplotlib? Interpolations for imshow Place the [0, 0] index of the array in the upper left or lower corresponds to the concentration of that protein - with larger areas the image. Moreover, the imshow method is also famous for the OpenCV module to show the images. The consent submitted will only be used for data processing originating from this website. We can make this image more or less transparent using the alpha parameter. If interpolation is the default 'antialiased', then 'nearest' InputArraysrc8. Let us now show an already existing image using imshow. The range is 0-1. 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() . Supported array shapes are: (M, N): an image with scalar data. See there for further details. How to determine a Python variable's type? Fraction that the arrow is swept back (0 overhang means These values may be unitful and match the units of the Axes. How to Change Legend Font Size in Matplotlib? area? How to follow the signal when reading the schematic? We begin by segmenting the nucleus of a sample image as described in another So, to better capture the The alpha blending value, between 0 (transparent) and 1 (opaque). Bulk update symbol size units from mm to map units in rule-based symbology. Asking for help, clarification, or responding to other answers. Create random data points using numpy. How to change angle of 3D plot in Python? name together with vmin/vmax is acceptable). 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. 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 remove the first and last ticks label of each Y-axis subplot in Matplotlib? Mutually exclusive execution using std::atomic? Display the data as an image, i.e., on a 2D regular raster. example Raw. Increase the thickness of a line with Matplotlib. calling plt.show(). much lower than the overlap coefficient. GreyScale images can be visualized using a 2-Dimensional array, and colored images are displayed using a 3-Dimensional array. To remove/hide whitespace around the border, we can set bbox_inches='tight' in the savefig () method. 'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell', How to set border for wedges in Matplotlib pie chart? If interpolation is 'none', then no interpolation is performed Working with Images in Python using Matplotlib, Python | Working with PNG Images using Matplotlib. 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. plt.imshow() draws an image on the current figure (creating a figure if there isn't a current figure). 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 made changes in the image using various parameters available. How can I delete a file or folder in Python? Colocalization can be split into two different concepts: An example by adding a black border "constant_values=0": We can change it using the origin parameter. left corner of the Axes. It hides both the X-axis and Y-axis in the figure. Premultiplied (associated) alpha: R, G, and B channels represent How to display the value of each bar in a bar chart using Matplotlib? Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). An example of data being processed may be a unique identifier stored in a cookie. We can clearly observe the change between the above two images. when interpolation is one of: 'sinc', 'lanczos' or 'blackman'. works perfectly. Plotting Histogram in Python using Matplotlib, Create a cumulative histogram in Matplotlib. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Manage Settings In this example, we will Pass an edgecolor = Black value as the edge color parameter to plt.hist() to change the bar border color. This array consists of the points. test.png I use matplotlib to read it and plot. Using imshow () method, display data as an image. protein - is it located more in the nucleus or cytoplasm compared to a Code Revisions 5 Stars 21 Forks 3. So, the How to Place Legend Outside of the Plot in Matplotlib? We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. values for top and bottom depend on origin: For origin == 'upper' the default is MNIST 76 1 . How to Turn Off the Axes for Subplots in Matplotlib? The protein, protein A, will be simulated as blobs and segmented. non-square pixels. may differ. 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). If we just want to turn either the X-axis or Y-axis off, we can use plt.xticks( ) or plt.yticks( ) method respectively. Using the Matplotlib Imshow Function. channel: Straight (unassociated) alpha: R, G, and B channels represent the A rank-based By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. User Input | Input () Function | Keyboard Input, Python Help Function | How to make use of Python Help. make out individual proteins, they can clump together within one pixel, How to Create a Single Legend for All Subplots in Matplotlib? How to Annotate Bars in Grouped Barplot in Python? How to add legend to imshow() in Matplotlib? How to Create Different Subplot Sizes in Matplotlib? How can a simple bivariate distribution be shown using imshow in Matplotlib Python? The length of the arrow along x and y direction. For drawing creative graphs, many times we hide x-axis & y-axis. The aspect ratio of the Axes. To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). (-0.5, numcols-0.5, -0.5, numrows-0.5). How to increase the size of scatter points in Matplotlib ? would give us a good measure of how strong the association is. dx, dyfloat The length of the arrow along x and y direction. Because this is of specific interest. How to (mostly) remove all borders and padding with matplotlib. 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. not match the size of X (see and/or rcParams["image.interpolation"] (default: 'antialiased'). 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 (.) control? ', '*'}, {'-', '--', '-. Image antialiasing). 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. protein concentration, we may choose to determine what proportion of the How to remove the outline of a circle marker when using pyplot.plot in Matplotlib? If you want to import an image and to display it in a Matplotlib window, the Matplotlib function imread () works perfectly. What is the difference between plt.show and cv2.imshow in Matplotlib? AxesImage artist. Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. ax = plt.gca () ax.set_axis_off () should clear the axis bounds and remove ticks as well. How to troubleshoot crashes detected by Google Play Store for Flutter app, Cupertino DateTime picker interfering with scroll behaviour. Note: If you have noticed that when we use plt.axis(off) it automatically hides the Axis, Whitespaces and Borders. (unless pixel sizes are explicitly made non-square in data As the resolution of images are usually too small to How to Fill Between Multiple Lines in Matplotlib? Origin If we want to change the origin ((0,0)) from upper to lower, we can set the value of origin parameter as lower.. See parameters norm, Some of our partners may process your data as a part of their legitimate business interest without asking for consent. If you would like instead a logo or static image, use go.layout.Image as explained here. X It is the data that we want to display using imshow. which can be set by filterrad. Tony_S_Yu3 November 28, 2011, 4:09pm #6. colocalization of two different image channels. normalizes integer values and corrects the rounding errors. If filternorm is set, the filter 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. This is ignored in the case of colored images. Aspect This parameter is used to adjust the size of images. True if head is to be counted in calculating the length. 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. After you have successfully installed matplotlib library, use the below code to use the imshow function. interpolation is used if the image is upsampled by more than a 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. correlation coefficient like Spearmans Get the axes instance that contains most of the figure element. See Suggest you turn that off siaimes July 30, 2022, 12:35am #3 The behavior of matplotlib's plot and imshow is confusing to me. Create data. Try to run the programs on your side and let us know if you have any queries. We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave () method. Unless extent is used, pixel centers will be located at integer Is it possible to create a concave light? a discussion of image antialiasing. is carried out on the data provided by the user. Put a rectangle at the position of the pixel you want to highlight. If the upsampling rate is In programming, one is used for bright color, and 0 is used for dark/dull colors. columns-1 horizontally and from 0 to rows-1 vertically. ', ':', '', (offset, on-off-seq), }, (scale: float, length: float, randomness: float). See Artist.set_url. Overlapping Histograms with Matplotlib in Python. create an arrow whose head is square with its stem, coordinates. There are two options for arguments auto and equal. Now, imagine that we want to know how closely related two proteins are. This argument takes an array as a value. one of "linear", "log", "symlog", "logit", etc. Remove or adapt the border of the frame of legend using matplotlib. 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 This may produce an arrow whose head is not square with its stem. 'equal': Ensures an aspect ratio of 1. use annotate() for example: Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. Their centers are on 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? When we draw plots using Matplotlib, the ticks and labels along x-axis & y-axis are drawn too. To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. How do I change the size of figures drawn with Matplotlib? In this image, while there are a lot of protein A spots within the nucleus they are dim compared to some of the spots outside the nucleus, so the MCC is much lower than the overlap coefficient. If I call plt.imshow(i) prior to calling plt.show(), then everything works perfectly. {'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, mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf, mpl_toolkits.mplot3d.axes3d.Axes3D.clabel, mpl_toolkits.mplot3d.axes3d.Axes3D.contour, mpl_toolkits.mplot3d.axes3d.Axes3D.tricontour, mpl_toolkits.mplot3d.axes3d.Axes3D.contourf, mpl_toolkits.mplot3d.axes3d.Axes3D.tricontourf, mpl_toolkits.mplot3d.axes3d.Axes3D.quiver, mpl_toolkits.mplot3d.axes3d.Axes3D.voxels, mpl_toolkits.mplot3d.axes3d.Axes3D.errorbar, mpl_toolkits.mplot3d.axes3d.Axes3D.text2D, mpl_toolkits.mplot3d.axes3d.Axes3D.set_axis_off, mpl_toolkits.mplot3d.axes3d.Axes3D.set_axis_on, mpl_toolkits.mplot3d.axes3d.Axes3D.get_frame_on, mpl_toolkits.mplot3d.axes3d.Axes3D.set_frame_on, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.get_xlim, mpl_toolkits.mplot3d.axes3d.Axes3D.get_ylim, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zlim, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zlim, mpl_toolkits.mplot3d.axes3d.Axes3D.get_w_lims, mpl_toolkits.mplot3d.axes3d.Axes3D.invert_zaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.zaxis_inverted, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zbound, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zbound, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zlabel, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zlabel, mpl_toolkits.mplot3d.axes3d.Axes3D.set_title, mpl_toolkits.mplot3d.axes3d.Axes3D.set_xscale, mpl_toolkits.mplot3d.axes3d.Axes3D.set_yscale, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zscale, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zscale, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zmargin, mpl_toolkits.mplot3d.axes3d.Axes3D.margins, mpl_toolkits.mplot3d.axes3d.Axes3D.autoscale, mpl_toolkits.mplot3d.axes3d.Axes3D.autoscale_view, mpl_toolkits.mplot3d.axes3d.Axes3D.set_autoscalez_on, mpl_toolkits.mplot3d.axes3d.Axes3D.get_autoscalez_on, mpl_toolkits.mplot3d.axes3d.Axes3D.auto_scale_xyz, mpl_toolkits.mplot3d.axes3d.Axes3D.set_aspect, mpl_toolkits.mplot3d.axes3d.Axes3D.set_box_aspect, mpl_toolkits.mplot3d.axes3d.Axes3D.apply_aspect, mpl_toolkits.mplot3d.axes3d.Axes3D.tick_params, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zticks, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zticks, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zticklabels, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zticklines, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zgridlines, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zminorticklabels, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zmajorticklabels, mpl_toolkits.mplot3d.axes3d.Axes3D.zaxis_date, mpl_toolkits.mplot3d.axes3d.Axes3D.convert_zunits, mpl_toolkits.mplot3d.axes3d.Axes3D.add_collection3d, mpl_toolkits.mplot3d.axes3d.Axes3D.sharez, mpl_toolkits.mplot3d.axes3d.Axes3D.can_zoom, mpl_toolkits.mplot3d.axes3d.Axes3D.can_pan, mpl_toolkits.mplot3d.axes3d.Axes3D.disable_mouse_rotation, mpl_toolkits.mplot3d.axes3d.Axes3D.mouse_init, mpl_toolkits.mplot3d.axes3d.Axes3D.drag_pan, mpl_toolkits.mplot3d.axes3d.Axes3D.format_zdata, mpl_toolkits.mplot3d.axes3d.Axes3D.format_coord, mpl_toolkits.mplot3d.axes3d.Axes3D.view_init, mpl_toolkits.mplot3d.axes3d.Axes3D.set_proj_type, mpl_toolkits.mplot3d.axes3d.Axes3D.get_proj, mpl_toolkits.mplot3d.axes3d.Axes3D.set_top_view, mpl_toolkits.mplot3d.axes3d.Axes3D.get_tightbbox, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zlim3d, mpl_toolkits.mplot3d.axes3d.Axes3D.stem3D, mpl_toolkits.mplot3d.axes3d.Axes3D.text3D, mpl_toolkits.mplot3d.axes3d.Axes3D.tunit_cube, mpl_toolkits.mplot3d.axes3d.Axes3D.tunit_edges, mpl_toolkits.mplot3d.axes3d.Axes3D.unit_cube, mpl_toolkits.mplot3d.axes3d.Axes3D.w_xaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.w_yaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.w_zaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.get_axis_position, mpl_toolkits.mplot3d.axes3d.Axes3D.add_contour_set, mpl_toolkits.mplot3d.axes3d.Axes3D.add_contourf_set, mpl_toolkits.mplot3d.axes3d.Axes3D.update_datalim, mpl_toolkits.mplot3d.axes3d.get_test_data, mpl_toolkits.mplot3d.art3d.Line3DCollection, mpl_toolkits.mplot3d.art3d.Patch3DCollection, mpl_toolkits.mplot3d.art3d.Path3DCollection, mpl_toolkits.mplot3d.art3d.Poly3DCollection, mpl_toolkits.mplot3d.art3d.get_dir_vector, mpl_toolkits.mplot3d.art3d.line_collection_2d_to_3d, mpl_toolkits.mplot3d.art3d.patch_2d_to_3d, mpl_toolkits.mplot3d.art3d.patch_collection_2d_to_3d, mpl_toolkits.mplot3d.art3d.pathpatch_2d_to_3d, mpl_toolkits.mplot3d.art3d.poly_collection_2d_to_3d, mpl_toolkits.mplot3d.proj3d.inv_transform, mpl_toolkits.mplot3d.proj3d.persp_transformation, mpl_toolkits.mplot3d.proj3d.proj_trans_points, mpl_toolkits.mplot3d.proj3d.proj_transform, mpl_toolkits.mplot3d.proj3d.proj_transform_clip, mpl_toolkits.mplot3d.proj3d.view_transformation, mpl_toolkits.mplot3d.proj3d.world_transformation, mpl_toolkits.axes_grid1.anchored_artists.AnchoredAuxTransformBox, mpl_toolkits.axes_grid1.anchored_artists.AnchoredDirectionArrows, mpl_toolkits.axes_grid1.anchored_artists.AnchoredDrawingArea, mpl_toolkits.axes_grid1.anchored_artists.AnchoredEllipse, mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar, mpl_toolkits.axes_grid1.axes_divider.AxesDivider, mpl_toolkits.axes_grid1.axes_divider.AxesLocator, mpl_toolkits.axes_grid1.axes_divider.Divider, mpl_toolkits.axes_grid1.axes_divider.HBoxDivider, mpl_toolkits.axes_grid1.axes_divider.SubplotDivider, mpl_toolkits.axes_grid1.axes_divider.VBoxDivider, mpl_toolkits.axes_grid1.axes_divider.make_axes_area_auto_adjustable, mpl_toolkits.axes_grid1.axes_divider.make_axes_locatable, mpl_toolkits.axes_grid1.axes_grid.AxesGrid, mpl_toolkits.axes_grid1.axes_grid.CbarAxesBase, mpl_toolkits.axes_grid1.axes_grid.ImageGrid, mpl_toolkits.axes_grid1.axes_rgb.make_rgb_axes, mpl_toolkits.axes_grid1.axes_size.AddList, mpl_toolkits.axes_grid1.axes_size.Fraction, mpl_toolkits.axes_grid1.axes_size.GetExtentHelper, mpl_toolkits.axes_grid1.axes_size.MaxExtent, mpl_toolkits.axes_grid1.axes_size.MaxHeight, mpl_toolkits.axes_grid1.axes_size.MaxWidth, mpl_toolkits.axes_grid1.axes_size.Scalable, mpl_toolkits.axes_grid1.axes_size.SizeFromFunc, mpl_toolkits.axes_grid1.axes_size.from_any, mpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase, mpl_toolkits.axes_grid1.inset_locator.AnchoredSizeLocator, mpl_toolkits.axes_grid1.inset_locator.AnchoredZoomLocator, mpl_toolkits.axes_grid1.inset_locator.BboxConnector, mpl_toolkits.axes_grid1.inset_locator.BboxConnectorPatch, mpl_toolkits.axes_grid1.inset_locator.BboxPatch, mpl_toolkits.axes_grid1.inset_locator.InsetPosition, mpl_toolkits.axes_grid1.inset_locator.inset_axes, mpl_toolkits.axes_grid1.inset_locator.mark_inset, mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes, mpl_toolkits.axes_grid1.mpl_axes.SimpleAxisArtist, mpl_toolkits.axes_grid1.mpl_axes.SimpleChainedObjects, mpl_toolkits.axes_grid1.parasite_axes.HostAxes, mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase, mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes, mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesBase, mpl_toolkits.axes_grid1.parasite_axes.SubplotHost, mpl_toolkits.axes_grid1.parasite_axes.host_axes, mpl_toolkits.axes_grid1.parasite_axes.host_axes_class_factory, mpl_toolkits.axes_grid1.parasite_axes.host_subplot, mpl_toolkits.axes_grid1.parasite_axes.host_subplot_class_factory, mpl_toolkits.axes_grid1.parasite_axes.parasite_axes_class_factory, mpl_toolkits.axisartist.angle_helper.ExtremeFinderCycle, mpl_toolkits.axisartist.angle_helper.FormatterDMS, mpl_toolkits.axisartist.angle_helper.FormatterHMS, mpl_toolkits.axisartist.angle_helper.LocatorBase, mpl_toolkits.axisartist.angle_helper.LocatorD, mpl_toolkits.axisartist.angle_helper.LocatorDM, mpl_toolkits.axisartist.angle_helper.LocatorDMS, mpl_toolkits.axisartist.angle_helper.LocatorH, mpl_toolkits.axisartist.angle_helper.LocatorHM, mpl_toolkits.axisartist.angle_helper.LocatorHMS, mpl_toolkits.axisartist.angle_helper.select_step, mpl_toolkits.axisartist.angle_helper.select_step24, mpl_toolkits.axisartist.angle_helper.select_step360, mpl_toolkits.axisartist.angle_helper.select_step_degree, mpl_toolkits.axisartist.angle_helper.select_step_hour, mpl_toolkits.axisartist.angle_helper.select_step_sub, mpl_toolkits.axisartist.axes_grid.AxesGrid, mpl_toolkits.axisartist.axes_grid.ImageGrid, mpl_toolkits.axisartist.axis_artist.AttributeCopier, mpl_toolkits.axisartist.axis_artist.AxisArtist, mpl_toolkits.axisartist.axis_artist.AxisLabel, mpl_toolkits.axisartist.axis_artist.GridlinesCollection, mpl_toolkits.axisartist.axis_artist.LabelBase, mpl_toolkits.axisartist.axis_artist.TickLabels, mpl_toolkits.axisartist.axis_artist.Ticks, mpl_toolkits.axisartist.axisline_style.AxislineStyle, mpl_toolkits.axisartist.axislines.AxesZero, mpl_toolkits.axisartist.axislines.AxisArtistHelper, mpl_toolkits.axisartist.axislines.AxisArtistHelperRectlinear, mpl_toolkits.axisartist.axislines.GridHelperBase, mpl_toolkits.axisartist.axislines.GridHelperRectlinear, mpl_toolkits.axisartist.axislines.Subplot, mpl_toolkits.axisartist.axislines.SubplotZero, mpl_toolkits.axisartist.floating_axes.ExtremeFinderFixed, mpl_toolkits.axisartist.floating_axes.FixedAxisArtistHelper, mpl_toolkits.axisartist.floating_axes.FloatingAxes, mpl_toolkits.axisartist.floating_axes.FloatingAxesBase, mpl_toolkits.axisartist.floating_axes.FloatingAxisArtistHelper, mpl_toolkits.axisartist.floating_axes.FloatingSubplot, mpl_toolkits.axisartist.floating_axes.GridHelperCurveLinear, mpl_toolkits.axisartist.floating_axes.floatingaxes_class_factory, mpl_toolkits.axisartist.grid_finder.DictFormatter, mpl_toolkits.axisartist.grid_finder.ExtremeFinderSimple, mpl_toolkits.axisartist.grid_finder.FixedLocator, mpl_toolkits.axisartist.grid_finder.FormatterPrettyPrint, mpl_toolkits.axisartist.grid_finder.GridFinder, mpl_toolkits.axisartist.grid_finder.MaxNLocator, mpl_toolkits.axisartist.grid_helper_curvelinear, mpl_toolkits.axisartist.grid_helper_curvelinear.FixedAxisArtistHelper, mpl_toolkits.axisartist.grid_helper_curvelinear.FloatingAxisArtistHelper, mpl_toolkits.axisartist.grid_helper_curvelinear.GridHelperCurveLinear.
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