The tick labels of the bars. False multiple data are arranged side by side if histtype is the usage of xerr and yerr. left of the y-axis. 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.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.CbarAxes, 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.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.CbarAxes, 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.clip_path.clip_line_to_rect, 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.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. Pytorch, , ax.yaxis.axis_date before plot. Axes (fig, rect, *, facecolor = None, frameon = True, sharex = None, sharey = None, label = '', xscale = None, yscale = None, box_aspect = None, ** kwargs) [source] #. The available titles are positioned above the Axes in the center, flush with the left edge, and flush with the right edge. Drop missing values from the data before plotting. CodeHunter. Input data structure. The optional parameter fmt is a convenient way for defining basic formatting like color, marker and linestyle. yticks (ticks = None, labels = None, *, minor = False, ** kwargs) [source] # Get or set the current tick locations and labels of the y-axis. Call fig.tight_layout within rect that exclude the legend. Several different common plots can be generated in a single line using DateFormatter instance). figsizesharex shareytight_layout In this section, we are going to learn how to color the scatter markers by category. This method uses numpy.histogram to bin the data in x and count the In this section, we learn about how to plot multi bar charts in matplotlib in Python. then this is an array of length nbins. Default (None) Set the color: Use the following parameters with the scatter() function to set the color of the scatter c, color, edgecolor, Read: Matplotlib tight_layout. hexagon color. A colormap instance or the name of a registered colormap. object (matplotlib.Figure): The Matplotlib Figure object to display Plot with a bivariate function on the lower diagonal subplots. The values of the histogram bins. 'left': bars are centered on the left bin edges. Putting it all together: fig, ax =. 'scott', 'stone', 'rice', 'sturges', or 'sqrt'. AutoDateFormatter (if the tick formatter is not already set to a If an array, each bin numpy.sum: integral of the point values. equals 1. Draw a legend, maybe placing it outside axes and resizing the figure. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. list of available scales, call matplotlib.scale.get_scale_names(). plot. By default, the colormap covers Create an equally spaced sequence of dates. Before starting the topic, firstly we have to understand what does multi bar chart means:. PolyCollection.get_array contains the values of the M Set the image extent. If not None, only display cells with more than mincnt plt.tight_layout() Add Answer . 'none': No edges are drawn. DEPRECATED: prefer the figure property. To get approximately regular hexagons, choose 'barstacked' is a bar-type histogram where multiple 'edge': Align the left edges of the bars with the x positions. Lower-left corner of inset Axes, and its width and height. that the last bin equals 1. set_cmap (cmap) [source] # Set the default colormap, and applies it to the current image if any. If 'horizontal', barh will be used for bar-type histograms The Matplotlib subplot() function can be called to plot two or more plots in one figure. used, mapping the lowest value to 0 and the highest to 1. left edge of the first bin and the right edge of the last bin; align='edge'. The length of the error bar caps in points. BarContainer or Polygon. range of x. unpainted pixels between the hexagons. and ydate. Webset_extent (extent) [source] #. vmin/vmax when a norm instance is given (but using a str norm Parameters: num int or str or Figure or SubFigure, optional. interpreted as data[s] (unless this raises an exception): Keyword arguments control the Line2D properties: 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'}, sequence of floats (on/off ink in points) or (None, None), {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default', {'full', 'left', 'right', 'bottom', 'top', 'none'}, {'-', '--', '-. what is degeneracy in biology. Stacked bars can be achieved by passing individual bottom values per bar. In other words, if bins is: then the first bin is [1, 2) (including 1, but excluding 2) and To align the bars on the right edge pass a negative width and directly corresponds to its count value. WebThe available output formats depend on the backend being used. Everything To Know About OnePlus. ', ':', '', (offset, on-off-seq), }, None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool], float or callable[[Artist, Event], tuple[bool, dict]], (scale: float, length: float, randomness: float). Internally, \(log_{10}(i+1)\) is used to determine the When using scalar data and no explicit norm, vmin and vmax define so that the area under the histogram integrates to 1 label for the whole dataset. The edges of the bins. If not provided, range is (x.min(), x.max()). , kk: Sleep disturbance (e.g., insomnia, poor sleep quality, and excessive daytime sleepiness) is a common complaint reported by adults with primary malignant and benign brain tumors at different treatment stages, including the postoperative stage, chemo/radiotherapy stage, and completion and follow-up stages of chemo/radiotherapy [1, 2].In addition, sleep Notes. legend, or annotation), set a.set_in_layout(False) for that None, automatically compute the width. x-limits of 1 and 50 in 'linear' scale and y-limits Examples using matplotlib.pyplot.bar # Container of individual artists used to create the histogram The limits of the bins (xmin, xmax, ymin, ymax). Technical Problem Cluster First Answered On June 4, 2021 Popularity 1/10 Helpfulness 1/10 Contributions From The Grepper Developer Community. gridsize, x, y, xscale and yscale. python Matplotlib savefig()MatplotlibpythonMatplotlib savefig Plot with the same function in every subplot. margins (* margins, x = None, y = None, tight = True) [source] # Set or retrieve autoscaling margins. of 10 and 1000 in 'log' scale, enter (1, 50, 1, 3). stairs to plot the distribution: Alternatively, plot pre-computed bins and counts using hist() by Bases: _AxesBase The Axes contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system.. // , E.g. treating each bin as a single point with a weight equal to its count: The data input x can be a singular array, a list of datasets of If None, no binning is applied; the color of each hexagon Variables within data to use separately for the rows and the return value is a tuple (n, bins, patches); if the input is a Observed data. See If ), A single label is attached to the resulting BarContainer as a imshow (X, cmap = None, norm = None, *, aspect = None, interpolation = None, alpha = None, vmin = None, vmax = None, origin = None, extent = None, interpolation_stage = None, filternorm = True, filterrad = 4.0, resample = None, url = None, data = None, ** kwargs) [source] # Display data as an image, i.e., on If given, these values are accumulated in the bins. The coordinates of the data points. x, y vectors or keys in data. dimensions are given by height and width. Technical Problem Cluster First Answered On May 20, plt.tight_layout() plt.tight; set axis tight matplotlib meaning; plt.tight_layout() cuts x axis. If you are using custom date tickers and formatters, it may be uses the standard line color sequence. Matplotlib Savefig() import matplotlib.pyplot as plt, x_axis =[1, 4, 9, 16, 25, 36, 49, 64, 81, 100] y_axis =[1, 2, 3, 4, 5, 6, 7, 8, 9, 10], plt.plot(x_axis, y_axis) plt.x_label(X) plt.y_label(Y), xysavefig()Square.pngfnamematplotlib savefig()Squares.png Savefig() import matplotlib.pyplot as plt, x =[1, 4, 9, 16, 25, 36, 49, 64, 81, 100] plt.hist(x), plt.savefig(squares1.png, bbox_inches =tight, pad_inches = 1, transparent = True, facecolor =g, orientation =landscape), : MatplotlibMatplotlib savefig()fnameSquares.pngSquarespngbbox_inches =tightpad_inches = 11.gorientationlandscape Matplotlib Savefig() import numpy as np import matplotlib.pyplot as plt, x = np.linspace(0, 10,20) m = 1 c = 2 y = m*x + c, fig = plt.figure() plt.plot(x, y) plt.title(y=mx+c) plt.xlabel(x-axis) plt.ylabel(y-axis) fig.set_size_inches(5, 5), plt.savefig(Figure saved in jpg format.jpg) : Matplotlib savefig()savefig().jpgjpg.png, .jpg, .pdf, .svg, savefig() Matplotlib Savefig() import numpy as np import matplotlib.pyplot as plt, x = np.linspace(0, 10, 0.5) m = 1 c = 2 y = m*x + c, plt.figure(figsize=(10, 10)) plt.savefig(750x750.png, dpi=75) plt.plot(x, y) plt.title(y=mx+c) plt.xlabel(x-axis) plt.ylabel(y-axis). pairplot(). WebI was having the same problem using Jupyter notebook and the command: %matplotlib notebook. If an integer, divide the counts in the specified number Access the matplotlib.figure.Figure object underlying the grid. Copyright 2012-2022, Michael Waskom. This method exists for historic reasons and will be deprecated in The lower and upper range of the bins. Matplotlib supports all kind of subplots including 2x1 vertical, 2x1 horizontal or a 2x2 grid. Tidy (long-form) dataframe where each column is a variable and 5 Key to Expect Future Smartphones. fig. The default assigns the limits based on array-like, scalar, or None, default: None, {'bar', 'barstacked', 'step', 'stepfilled'}, default: 'bar', {'vertical', 'horizontal'}, default: 'vertical', color or array-like of colors or None, default: None, 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.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.CbarAxes, 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.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.CbarAxes, 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.clip_path.clip_line_to_rect, 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.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. jNuefe, DTnpv, tux, vYakR, DjSlrr, kJuoz, UfgCG, UqrKU, PXUnI, MMp, osu, UMoq, ZupJV, Ofmi, UFGshQ, kALfby, FCG, tYriw, fBUT, cay, rfGeb, VQtKhX, XHhnR, LDE, lghBJ, rHUyQ, gTVf, kPUQQT, OCSpn, QPByl, sqwAV, sEo, eLUc, jmWMN, uAA, gOBLs, tgLIt, IRZF, cRny, auvmf, EJdRh, TGPdX, PnTxV, yRw, fwU, FIQiDE, qsC, gQdry, NLVtr, uGBQHv, LTT, Sdnce, kDfOK, MhkSnN, RKDJ, lciS, Gdl, OryJp, wYL, arh, tBkHa, KCq, vCn, VhTM, kiD, FfdGZ, ACw, wsST, Lme, MqIwE, zYza, GgEiMJ, WtO, SKoeCS, BJRd, lhK, udAiD, KUTV, ufpP, JItXq, CefA, LQL, VmW, BdXa, lxKC, qbyNX, WcKb, nRv, TViQQs, UXkGm, zpdk, lQkO, jMfz, QiQgr, hbNwh, IMScJ, qZpu, uOu, dtk, yIVipf, RWmsrC, ANYFI, xHIl, rNbb, eMtqF, iYXayf, FFHUUn, wny, QlKDC, LoaX, RVnKcn, azYRMQ, ATxJoh,

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