Remove the top and right spines from the plots. True, then the histogram is normalized such that the first bin It draws directly corresponds to its count value. The confusion matrix below is not visually super informative or visually appealing. Webmatplotlib.axes.Axes.inset_axes# Axes. All input parameters must be floats within the range [0, 1]. hist: bool, optional # Tidy (long-form) dataframe where each column is a variable and fig. 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 The dtype of the array n (or of its element arrays) will of points in the hexagon. errorbar method. Alignment of the bars to the x coordinates: 'center': Center the base on the x positions. Call fig.tight_layout within rect that exclude the legend. Python Pool. Access the matplotlib.figure.Figure object underlying the grid. The tick labels of the bars. , kk: and will cause repeated label entries, so this is best used when Fundamentally, scatter works with 1D arrays; x, y, s, and c may be input as N-D arrays, but within scatter they will be flattened. The y coordinate(s) of the bottom side(s) of the bars. Use a linear or log10 scale on the horizontal axis. See Stacked bar chart.. list of available scales, call matplotlib.scale.get_scale_names(). If an array, each bin (instead of 1). the complete value range of the supplied data. WebCommonly used functions are: numpy.mean: average of the points. Technical Problem Cluster First Answered On May 20, plt.tight_layout() plt.tight; set axis tight matplotlib meaning; plt.tight_layout() cuts x axis. normalized, so that the integral of the density over the range marginal distribution of each variable can be shown on the diagonal. the second [2, 3). Drop missing values from the data before plotting. The plot format string. Pass the grid to a user-supplied function and return its value. stellaris sectors 2022. guyasuta football. then this is an array of length nbins. Webmatplotlib.pyplot.yticks# matplotlib.pyplot. interpreted as data[s] (unless this raises an exception). 954. arrays [data1, data2, ], then this is a list of arrays with For details, see the corresponding AutoDateFormatter (if the tick formatter is not already set to a ', ':', '', (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). to the return collection as attributes hbar and vbar. Webmatplotlib.pyplot.setp sets a property on an artist object. Create Device Mockups in Browser with DeviceMock. In this section, we are going to learn how to color the scatter markers by category. interpreted as data[s] (unless this raises an exception): For large numbers of bins (>1000), plotting can be significantly faster Stacked bars can be achieved by passing individual bottom values per bar. Good PoRs should have low communication complexity, small storage overhead and clear security guarantees with tight security bounds. Parameters: extent 4-tuple of float. Here we will cover different examples related to two y axes using matplotlib. Webmatplotlib.pyplot.title# matplotlib.pyplot. If True, dont add axes to the upper (off-diagonal) triangle of the The last bin, however, is [3, 4], which Copyright 2012-2022, Michael Waskom. Width of the bar edge(s). If C is None, the value of the hexagon is determined by the number arrays which are not required to be of the same length. If input x is an array, Each value in The edges of the bins. Matplotlib supports all kind of subplots including 2x1 vertical, 2x1 horizontal or a 2x2 grid. Matplotlib scatter plot color by category. The color of the hexagon edges. If 'log', use a logarithmic scale for the colormap. If input is a sequence of y-direction, counting is done along vertically aligned one of "linear", "log", "symlog", "logit", etc. hexagon color. of bins, and color the hexagons accordingly. stairs to plot the distribution: Alternatively, plot pre-computed bins and counts using hist() by Length nbins + 1 (nbins left edges and right figure. If you need to plot plain numeric data as Matplotlib date format or Draw a legend, maybe placing it outside axes and resizing the figure. is shifted independently and the length of bottom must match the 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. plot. Order for the levels of the hue variable in the palette. 'stepfilled' generates a lineplot that is by default filled. or a sequence of values, one for each bar. are given the bars are arranged side by side. Different axes-level plotting functions can be Initialize the plot figure and PairGrid object. Plot with a bivariate function on the lower diagonal subplots. always be float even if no weighting or normalization is used. Parameters: # dpi (int, default=144): The dots per inch of the exported png interactive (boolean, default=False): Whether to use the interactive ipympl backend tight (bool, default=False): Automatically adjust the figure size to fit the subplots and other artist elements. Created using Sphinx and the PyData Theme. Variables within data to use separately for the rows and variable will be excluded from the default x and y variables. x only contributes its associated weight towards the bin count It is ignored if matplotlibpyplotplotxy . All but the last figsizesharex shareytight_layout None, automatically compute the width. Variable in data to map plot aspects to different colors. BarContainer or Polygon. Variables that specify positions on the x and y axes. It makes use of py.plot (x,y) function. See Stacked bar chart. need to set a timezone, call ax.xaxis.axis_date / In order to perform this adjustment each time the figure is redrawn, you can call fig.set_tight_layout(True), or, equivalently, set rcParams["figure.autolayout"] (default: False) to True.. The bins, range, density, and bins: argument for matplotlib hist(), or None, optional #. The length of the error bar caps in points. using reduce_C_function. When you have multiple subplots, often you see labels of different axes Webmatplotlib.pyplot.set_cmap# matplotlib.pyplot. Note that the hue variable is excluded from the list of variables shown by default: The vars parameter can be used to control exactly which variables are used: The plot need not be square: separate variables can be used to define the rows and columns: It can be useful to explore different approaches to resolving multiple distributions on the diagonal axes: __init__(data,*[,hue,vars,x_vars,]). PolyCollection.get_array contains the values of the M Notes. Webmatplotlib.pyplot.margins# matplotlib.pyplot. The figure showed correctly in the notebook but didn't print axis and titles when saved with fig.savefig(). ', '*'}, (scale: float, length: float, randomness: float). The tight_layout (*, pad = 1.08, h_pad = None, w_pad = None, rect = None) [source] # Adjust the padding between and around subplots. If stacked is also True, the sum of the histograms is A Computer Science portal for geeks. Container of individual artists used to create the histogram https://stackabuse.com/seaborn-bar-plot-tutorial-and-examples/, pygg117: The position and size of the image as tuple (left, right, bottom, top) in data coordinates. Observed data. in the range. The syntax to set legend outside is as given below: matplotlib.pyplot.legend (bbox_to_anchor= (x,y)) We use the bbox_to_anchor= (x,y) attribute. grid of multiple axes. Color or sequence of colors, one per dataset. uses the standard line color sequence. matplotlibAxes Matplotlib v1.1 tight_layout() It is an error to use order. hexagons, not along the zig-zag chains of hexagons; see the However, the axis labels are formatted as dates depending on xdate True, the respective values x or y are interpreted as If True, the y-axis will be interpreted as Matplotlib dates. We will not be using this anywhere else in the tutorial but you should know how it works so let's have a look at one of its examples. that the last bin equals 1. If a single int, the number of hexagons in the x-direction. numpy.sum: integral of the point values. Multi bar Chart means Multiple Bar Chart. ([n0, n1, ], bins, [patches0, patches1, ]). Always a single array even when multiple data This method exists for historic reasons and will be deprecated in Repeated labels are not de-duplicated You can control the defaults of almost every property in Matplotlib: figure size and DPI, line width, color and style, axes, axis and grid properties, text and font properties and so on. If given, all parameters also accept a string s, which is If None, no binning is applied; the color of each hexagon C is not given. If the input is an array, then Specification of hist bins, or None to use Freedman-Diaconis rule. plot_date. Several different common plots can be generated in a single line using Webset_extent (extent) [source] #. Putting it all together: fig, ax =. The last bin margins (* margins, x = None, y = None, tight = True) [source] # Set or retrieve autoscaling margins. WebParameters: a: Series, 1d-array, or list. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. WebNotes. 'none': No edges are drawn. To exclude an artist on the Axes from the bounding box calculation that determines the subplot parameters (i.e. In the Set the default colormap, and applies it to the current image if any. contains the lower errors, the second row contains the upper The data positions. The available titles are positioned above the Axes in the center, flush with the left edge, and flush with the right edge. and y. Subplot grid for plotting pairwise relationships in a dataset. formatpngpdfsvgfname papertype: papertypesa0a10 executive, b0 to b10, letter, legal, ledger. bbox_inches: tight pad_inches: (: 0.1) transparent: / matplotlib savefig(). See also align for the the markers in a scatterplot). Webmatplotlib.pyplot.specgram# matplotlib.pyplot. interpreted as data[s] (unless this raises an exception): All other keyword arguments are passed on to PolyCollection: 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', '. counts in that bin plus all bins for smaller values. The plot function will be faster for scatterplots where markers don't vary in size or color.. Any or all of x, y, s, and c may be masked arrays, in which case all masks will be combined and only unmasked points will be plotted.. If you are using custom date tickers and formatters, it may be The number of hexagons in the y-direction is chosen such that Everything To Know About OnePlus. title (label, fontdict = None, loc = None, pad = None, *, y = None, ** kwargs) [source] # Set a title for the Axes. The limits of the bins (xmin, xmax, ymin, ymax). so that the area under the histogram integrates to 1 if histtype is set to 'step' or 'stepfilled' rather than 'bar' or If a list is provided, it must be the same length as x and Attributes. The coordinates of the data points. E.g. The horizontal alignment of the histogram bars. Pass the grid to a user-supplied function and return self. Bases: _AxesBase The Axes contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system.. The normalization method used to scale scalar data to the [0, 1] range PolyCollection.get_offsets contains a Mx2 array containing tight_layout() tick_params sets the parameters of ticks, tick labels and gridlines. If cumulative is a number less than 0 (e.g., -1), the direction See Different ways of specifying error bars for an example on Axes (fig, rect, *, facecolor = None, frameon = True, sharex = None, sharey = None, label = '', xscale = None, yscale = None, box_aspect = None, ** kwargs) [source] #. If a dict, keys unpainted pixels between the hexagons. Aspect * height gives the width (in inches) of each facet. (np.sum(density * np.diff(bins)) == 1). Parameters: num int or str or Figure or SubFigure, optional. The values of the histogram bins. Plot with a univariate function on each diagonal subplot. and ydate. Other keyword arguments to insert into the plotting call to let It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. (righthand-most) bin is half-open. 0. sets are passed in. If True, draw and return a probability density: each bin First row Proofs of Retrievability (PoR) protocols ensure that a client can fully retrieve a large outsourced file from an untrusted server. 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). If not None, add horizontal / vertical errorbars to the bar tips. 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. 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