matplotlib.pyplot.imshow without margin GitHub - Gist 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. 131 (3): jcs211847. The values are mapped to If you want to explictly create a new figure, use plt.figure(). Get the size of the data. the image. normalizes integer values and corrects the rounding errors. interpolation is carried out after the colormapping has been plt.show () displays the figure (and enters the main loop of whatever gui backend you're using). (M, N, 4): an image with RGBA values (0-1 float or 0-255 int), that the data fit in the Axes. rendering and that the default interpolation method they implement In other words: the origin will coincide with the center How to Change the Transparency of a Graph Plot in Matplotlib with Python? antigrain documentation). If you would like instead a logo or static image, use go.layout.Image as explained here. the number of display pixels is at least i.e. If interpolation is 'none', then no interpolation is performed and assume that whatever is not in the nucleus is in the cytoplasm. 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. If I call plt.imshow(i) prior to calling plt.show(), then everything works perfectly. list of available scales, call matplotlib.scale.get_scale_names(). Also, we know that to color a 2-d array, we use the cmap parameter. square. Do you know that images are represented in the form of numbers in computer programming? 2828 label. 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', '. To There are two options for arguments auto and equal. We know that the chessboard is an 88 matrix with only two colors i.e., white and black. 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. Colocalization can be split into two different concepts: LeCun!-- The range is 0-1. name together with vmin/vmax is acceptable). How to remove the outline of a circle marker when using pyplot.plot in Matplotlib? We can also perform many different operations on the image using the variety of parameters of the imshow function. known as Manders Colocalization Coefficient. 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 Can Martian regolith be easily melted with microwaves? 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A scale name, i.e. Matplotlib: imshow with second y axis - Stack Overflow You shouldn't call it until you've plotted things and want to see them displayed. that any sum of pixel weights must be equal to 1.0. imshow We explicitly support categorical colormaps: there is a large amount of code/complexity in colorbar.py mostly present to make them work. Not the answer you're looking for? We have to give the path of this image to the imread function. 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. Python3 from matplotlib import pyplot as plt How to display the value of each bar in a bar chart using Matplotlib? To remove white border when using subplot and imshow (), we can take the following steps . How to add legend to imshow() in Matplotlib? 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. image happens to be upsampled by exactly a factor of two or one. The consent submitted will only be used for data processing originating from this website. In this example, we demonstrate the use of different metrics to assess the Suraj Joshi is a backend software engineer at Matrice.ai. How to (mostly) remove all borders and padding with matplotlib. Let us study everything in detail. Why Is PNG file with Drop Shadow in Flutter Web App Grainy? We will better understand when we look at an example. filter function must produce a graph of the proper shape. 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 . 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. If 'data', interpolation to 'nearest'. Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? See the origin and extent in imshow tutorial for Depois do truque de @kingarturo23, veio a Magica de Arrascaeta. This metric is known as Manders' Colocalization Coefficient. When True, use a full resampling method. matplotlib python . How to increase the size of scatter points in Matplotlib ? We can also save the image without axis, borders, and whitespace using the matplotlib.pyplot.imsave() method. Plotting an imshow() image in 3d in Matplotlib, Rotating axis text for each subplot in Matplotlib. It (see Colormap Normalization). Origin If we want to change the origin ((0,0)) from upper to lower, we can set the value of origin parameter as lower.. But when I using matploblib package to plot a image, I do not like the white border of my plot image. How to follow the signal when reading the schematic? Cmap This parameter is used to give colors to non-colored images. python - dbc - My code is GPL licensed, can I issue a license to have my code be distributed in a specific MIT licensed project? By using our site, you If alpha is an array, the alpha blending values are applied pixel In this image, while there are a lot of protein A spots within the nucleus interpolation is used if the image is upsampled by more than a python matplotlib imshowplt.imshow (x_train [0])plt.imshow (x_train [0])plt.show () python matplotlib python matplotlib importimport osfrom PIL import Imageimport matplot. You shouldn't call it until you've plotted things and want to see them displayed. To use the matplotlib library, we first need to install matplotlib using pip install matplotlib. case. Increase the thickness of a line with Matplotlib. By using this website, you agree with our Cookies Policy. examples and a more detailed description. Is it possible to create a concave light? 3.4. How to Change Legend Font Size in Matplotlib? We then need to import the submodule pyplot, which contains the imshow function. How to Draw Rectangle on Image in Matplotlib? Therefore something like a border of this cell would be nice: How to Add Title to Subplots in Matplotlib? So, let us use numpy to create a numpy array consisting of two numbers 0 and 1. Note that the direction of the vertical axis and thus the default If True, the head starts being drawn at coordinate 0 Approach: Import required module. How to Display Images Using Matplotlib Imshow Function Calling plt.show() before you've drawn anything doesn't make any sense. We make use of First and third party cookies to improve our user experience. Python 3MatplotLibOpenCV To subscribe to this RSS feed, copy and paste this URL into your RSS reader. If you have questions A parameter for the antigrain image resize filter (see the of pixel (0, 0). Matlab imshow border . may differ. How to create a Scatter Plot with several colors in Matplotlib? How To Adjust Position of Axis Labels in Matplotlib? Because this is of specific interest. , imshow , . Learn more, Setting active subplot using axes object in Matplotlib, Adjusting gridlines and ticks in Matplotlib imshow. How to Set Plot Background Color in Matplotlib? but downward for 'upper'. To hide the axis, we can use the command matplotlib.pyplot.axis('off'). We begin by segmenting the nucleus of a sample image as described in another Information about this method is given in [1]. The length of the arrow along x and y direction. How to animate 3D Graph using Matplotlib? A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. To show an image in matplotlib, first read it in using plt.imread (), then display it with plt.imshow (). There are many more parameters in imshow, but these are the most important ones. and/or rcParams["image.interpolation"] (default: 'antialiased'). 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. cmap='gray', vmin=0, vmax=255. test.png I use matplotlib to read it and plot. Place the [0, 0] index of the array in the upper left or lower GitHub Skip to content All gists Back to GitHub Sign in Sign up Instantly share code, notes, and snippets. (Or will be called whenever you want to stop and visualize the plot you've made, at any rate.). 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. relevant for images since it determines whether data pixels are Notes Unless extent is used, pixel centers will be located at integer coordinates. Create random data points using numpy. Display data as an image, i.e., on a 2D regular raster. Get the axes instance that contains most of the figure element. doesn't do anything with the source floating point values, it works perfectly. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? Embed. An example by adding a black border "constant_values=0": Axes.set_aspect. After choosing a co-occurence metric, we can apply the same process to used, mapping the lowest value to 0 and the highest to 1. control? 1. Matplotlib.pyplot.imshow: The Complete Guide - AppDividend It saves the images without any axis, borders, and whitespaces using the savefig() method. indicating more protein. is carried out on the data provided by the user. This parameter is particularly 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. 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 (). The matplotlib.pyplot.imshow () function has only one required argument, and others are optional. protein concentration, we may choose to determine what proportion of the By using our site, you Connect and share knowledge within a single location that is structured and easy to search. There are two common representations for RGB images with an alpha channel: 'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite', And the instances of Axes supports callbacks through a callbacks attribute. left corner of the Axes. 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. . making the intensity of that pixel brighter. As Matplotlib is generally used for data visualization, images can be a part of data, and to check it, we can use imshow. If I call plt.show() prior to calling Interpolations for imshow How to set the spacing between subplots in Matplotlib in Python? interpreted as data[s] (unless this raises an exception). One more important thing about this method is that the origin starts at the top left corner. three times the size of the data array). 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. matshow Plot a matrix or an array as an image. Imagine that we are trying to determine the subcellular localization of a on the Agg, ps, pdf and svg backends. Put a rectangle at the position of the pixel you want to highlight. Supported values are 'none', 'antialiased', 'nearest', 'bilinear', Let us now see how we can display the following cat using the imshow function. 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. 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. Pixels have unit size in data coordinates. dx, dyfloat The length of the arrow along x and y direction. be used to compare the MCC value of the original image with that of the Fraction that the arrow is swept back (0 overhang means What is a word for the arcane equivalent of a monastery? We can pass any of the below values as the argument for this parameter. This is ignored in the case of colored images. This can be in the form of lists or array. The matplotlib.pyplot.axis(off) command us used to hide the axis(both x-axis & y-axis) in the matplotlib figure. If given, all parameters also accept a string s, which is The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. 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. the color of the pixel, adjusted for its opacity by multiplication. 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.

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