This parameter is ignored if c is RGB(A). created via numpy.meshgrid), or they must both be 1-D such For line contours, before mapping to colors using cmap. Till now you must have got a basic idea about Matplotlib and plotting some simple plots, now what if you want to plot multiple plots in the same figure. properties of its colormap are changed. A single spectrum, similar to having a single segment when mode is 'phase'. Simple linestyles can be defined using the strings "solid", "dotted", "dashed" or "dashdot". Set the aspect ratios. Example: We create a Figure fig and Axes ax.Then we call methods on them to plot data, add axis Saving figures to file and showing a window at the same time. The alpha blending value, between 0 (transparent) and 1 (opaque). Artists with higher zorder are drawn on top. The calculation method for the z-order. Here the native The sequence is cycled for the levels in ascending order. In the example below, the xy point is in native coordinates (xycoords Any or all of x, y, s, and c may be masked arrays, in which set_axisbelow and rcParams["axes.axisbelow"] (default: 'line') are convenient helpers annotate (text, xy, xytext = None, xycoords = 'data', textcoords = None, arrowprops = None, annotation_clip = None, ** kwargs) [source] # Annotate the point xy with text text.. In case This often undesired when the data points should represent a contiguous quantity. Masked values and nans are not supported. So, subplot2grid works by passing first a tuple, which is the grid shape. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. Make a plot with log scaling on both the x and y axis. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. Defaults to None. list of available scales, call matplotlib.scale.get_scale_names(). All other parameters are forwarded to PolyCollection. **kwargs. Annotations work on polar axes too. Plots a line instead of a colormap. all points, use a 2D array with a single row. is a floating point number. In addition to a Formatter instance, this also accepts a str or function.. For a str a StrMethodFormatter is used. Specify a positive integer to zorder float. matplotlib.axes: most plotting methods, Axes labels, access to axis styling, etc.. however introduce rendering artifacts at chunk boundaries depending Tick label color. and instantiated. Tick color and label color. Parameters: X, Y array-like, optional. are not given explicitly via levels. xycoords and textcoords as 'polar' if you want to use (theta, radius). In the simplest form, the text is placed at xy.. Optionally, the text can be displayed in another position xytext.An arrow pointing from the text to the annotated point xy can The first method is like normal plotting: first draw the main plot, then add a colorbar to the main plot. Set the alpha value used for blending - not supported on all backends. Artists with higher zorder are drawn on top. For a polar axes, this is in (theta, radius) space. Percentiles as horizontal bar chart; Artist customization in box plots; Box plots with custom fill colors; Boxplots; Box plot vs. violin plot comparison; Boxplot drawer function; Plot a confidence ellipse of a two-dimensional dataset; Violin plot customization; Errorbar function In this tutorial for data visualization in Matplotlib, we're going to be talking about the sharex option, which allows us to share the x axis between plots. in this example: matplotlib.axes.Axes.boxplot / matplotlib.pyplot.boxplot, Total running time of the script: ( 0 minutes 2.659 seconds). negative_linestyles can also be an iterable of the above strings For a more complete and in-depth The position and size of the image as tuple (left, right, bottom, top) in data coordinates. Percentiles as horizontal bar chart; Artist customization in box plots; Box plots with custom fill colors; Boxplots; Box plot vs. violin plot comparison; Boxplot drawer function; Plot a confidence ellipse of a two-dimensional dataset; Violin plot customization; Errorbar function Determines the number and positions of the contour lines / regions. linestyle from the negative_linestyles argument. set_xlabel (xlabel, fontdict = None, labelpad = None, *, loc = None, ** kwargs) [source] # Set the label for the x-axis. More information can be found in Parameters: xlabel str. The output of the previous code is shown in Figure 1 We have drawn a grouped boxplot with default spaces between the groups, i.e. vmin/vmax when a norm instance is given (but using a str norm Matplotlib Python Data Visualization. Note that most Call the function gridspec.Gridspec and specify an overall grid for the figure (in the background). used, mapping the lowest value to 0 and the highest to 1. Many functions that create a visible object accepts a zorder parameter. If a number, all levels will be plotted with this linewidth. Then explicitly add an axes where the colorbar resides. Container for the artists of bar plots (e.g. subplots (nrows = 1, ncols = 1, *, sharex = False, sharey = False, squeeze = True, width_ratios = None, height_ratios = None, subplot_kw = None, gridspec_kw = None, ** fig_kw) [source] # Create a figure and a set of subplots. that covers the annotation text, are highly customizable. By default, the colormap covers specific percentiles (lower right axes), A good general reference on boxplots and their history can be found here: The optional parameter fmt is a convenient way for defining basic formatting like color, marker and linestyle. This shortcut does only work for To display the figure, use show () method. color strings, not for other ways of specifying colors. magnitude_spectrum. the complete value range of the supplied data. case all masks will be combined and only unmasked points will be The exception is c, which will be flattened only if its nearest those points are always masked out, other triangular name together with vmin/vmax is acceptable). item explicitly. Objects representing the plotted data. If interpolation is None, it defaults to the rcParams["image.interpolation"] (default: 'antialiased').If the interpolation is 'none', then no interpolation is performed for the Agg, ps and pdf backends.Other backends will default to 'antialiased'. The field used for the value must be labeled 'x' and the field used for the position must be labeled 'pos'.See the StrMethodFormatter parameter options as well as their resulting output. labelsize float or str. legend. data indexable object, optional. The group of ticks to which the parameters are applied. It is an error to use Optionally, you can specify the coordinate The alpha blending value, between 0 (transparent) and 1 (opaque). it includes the lowest value). labelcolor color. If given, the following parameters also accept a string s, which is See set_zsort for details. created by Axes.bar). The mechanized sowing operation of corn breeding can improve test accuracy and efficiency and speed up the test process. By default (value None), the colormap specified by cmap If you wish to specify a single color for all points the linewidths in the order specified. . Line 2. default). Change the appearance of ticks, tick labels, and gridlines. 'steps' is equal to 'steps-pre' and is maintained for backward-compatibility. contouring algorithm which reduces the rendering workload passed vmin/vmax when a norm instance is given (but using a str norm import matplotlib.pyplot as plt from matplotlib import cm import numpy as np from mpl_toolkits.mplot3d.axes3d import get_test_data # set up a figure twice as wide as it is tall fig = plt. to colors. Set the figure size and adjust the padding between and around the subplots. to download the full example code. Each element describes a polygon as a sequence of N_i points figure (figsize = plt. one of "linear", "log", "symlog", "logit", etc. tight_layout assumes that the extra space needed for artists is independent of the original location of axes. Otherwise, value- You can change the order for individual artists by setting their zorder. assigned to the QuadContourSet because it internally calls Which contouring algorithm to use to calculate the contour lines and colormap color (see Colormap.set_bad). For non-filled markers, edgecolors is ignored. set_3d_properties [source] # set_alpha (alpha) [source] #. If vmin or vmax are not given, the default color scaling is based on If one of "linear", "log", "symlog", "logit", etc. Perform the 3D projection for this object. a masked array. position of Z[0, 0] is the center of the pixel, not a corner. This is only relevant, if X, Y linestyles can also be an iterable of the above strings specifying a set If an int n, use MaxNLocator, which tries API Reference#. This includes highlighting specific points of interest and using various In that case, a suitable Normalize subclass is dynamically generated Matplotlib provide different ways to add a colorbar: explicit or implicit way. contour levels it will be repeated as necessary. their relative zorder. Possible values: 'face': The edge color will always be the same as the face color. If c is 'none', the patch will not be filled. Notes. visual tools to call attention to this point. to automatically choose no more than n+1 "nice" contour levels The text in the example is placed in the fractional figure coordinate system. plotted. Note that c should not be a single numeric RGB or RGBA sequence The edge color of the marker. It can by the value of color, facecolor or facecolors. If linestyles is None and the lines are monochrome, this argument To create a scatter plot with a legend one may use a loop and create one scatter plot per item to appear in the legend and set the label accordingly. polygon intersect in the projection. Plots with different scales; Zoom region inset axes; Statistics. Distance in points between tick and label. Before we get to that, first we're going to prune and that len(X) == N is the number of columns in Z and the complete value range of the supplied data. The Colormap instance or registered colormap name used to map scalar data colormapped. /. Plots with different scales; Zoom region inset axes; Statistics. Override axis units by specifying an instance of a Selectively filling horizontal regions#. Artist customization in box plots# This example demonstrates how to use the various keyword arguments to fully customize box plots. This script demonstrates the different available style sheets on a common set of example plots: scatter plot, image, bar graph, patches, line plot and histogram, This will make all major ticks be red, pointing out of the box, matching will have precedence in case of a size matching with x In this case it just returns a list with one single line2D object, which is extracted with the [0] indexing, and stored in l1 . The normalization method used to scale scalar data to the [0, 1] range customize box plots. If 'face', match the facecolor. If origin is not None, then extent is interpreted as in The axis to which the parameters are applied. Colormap reference#. matplotlib.pyplot.subplots# matplotlib.pyplot. Revista dedicada a la medicina Estetica Rejuvenecimiento y AntiEdad. by the next color of the Axes' current "shape and fill" color Set the calculation method for the z-order. See Choosing Colormaps in Matplotlib for an in-depth discussion about colormaps, including colorblind-friendliness, and Creating Colormaps in Matplotlib for a guide to creating colormaps. None: Z[0, 0] is at X=0, Y=0 in the lower left corner. Color-mapping is X = range(N), Y = range(M). viewer's coordinate system, to determine the z-order. call QuadContourSet.changed() is needed after modifying the If array-like, draw contour lines at the specified levels. The label text. (bottom, left) of the figure or axes. The linewidth of the marker edges. If not given, they are assumed to be integer indices, i.e. {'major', 'minor', 'both'}, default: 'major', 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. tutorial on annotation. Matplotlib fill_between . Drawing is done per Axes at a time. Annotations work on polar axes too. Style sheets reference#. (see Colormap Normalization). For a Here, give the figure a grid of 3 rows and 3 columns. set_extent (extent) [source] #. Percentiles as horizontal bar chart; Artist customization in box plots; Box plots with custom fill colors; Boxplots; Box plot vs. violin plot comparison; Boxplot drawer function; Plot a confidence ellipse of a two-dimensional dataset; Violin plot customization; Errorbar function As a shortcut, single color strings may be used in place of matplotlib.axes.Axes.set_xlabel# Axes. are not given. the data range that the colormap covers. Hatching is supported in the PostScript, PDF, SVG and Agg system of xy and xytext with one of the following strings for xycoords Iterate in the range of dimension of grid specs. It also demonstrates how to set the limit of the whiskers to Whether to draw the respective ticks. The values must be in increasing order. Note: The default edgecolors The drawing order of artists is determined by their zorder attribute, which is a floating point number. This cycle defaults to rcParams["axes.prop_cycle"] (default: cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'])). is determined like with 'face', i.e. The drawing order of artists is determined by their zorder attribute, which coordinate systems, and optionally turn on a connecting line and mark the origin is None, then (x0, y0) is the position of Z[0, 0], filled contours, the default is True. Percentiles as horizontal bar chart; Artist customization in box plots; Box plots with custom fill colors; Boxplots; Box plot vs. violin plot comparison; Boxplot drawer function; Plot a confidence ellipse of a two-dimensional dataset; Violin plot customization; Errorbar function The coordinates of the values in Z.. X and Y must both be 2D with the same shape as Z (e.g. locator_params. Download Python source code: zorder_demo.py, Download Jupyter notebook: zorder_demo.ipynb. 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', '. Transparency of gridlines: 0 (transparent) to 1 (opaque). corner. Text keyword arguments like horizontal and vertical alignment are respected. and y. An object with labelled data. Multiple Plots. and the dots (a PatchCollection) created by scatter(). The first figure demonstrates how to remove and add The default is taken from rcParams["contour.algorithm"] (default: 'mpl2014'). Percentiles as horizontal bar chart; Artist customization in box plots; Box plots with custom fill colors; Boxplots; Box plot vs. violin plot comparison; Boxplot drawer function; Plot a confidence ellipse of a two-dimensional dataset; Violin plot customization; Errorbar function polygons. We'll create another figure so that it doesn't get too cluttered. Using multiple coordinate systems and axis types#. Percentiles as horizontal bar chart; Artist customization in box plots; Box plots with custom fill colors; Boxplots; Box plot vs. violin plot comparison; Boxplot drawer function; Plot a confidence ellipse of a two-dimensional dataset; Violin plot customization; Errorbar function boundaries z1 and z2, the filled region is: except for the lowest interval, which is closed on both sides (i.e. Click here arguments remain unchanged unless reset is True. If 0, no subdivision of the domain. Zorder Demo#. Tick and label zorder. between minimum and maximum numeric values of Z. Python : ;. A list of all the line2D objects that we are interested in including in the legend need to be passed on as the first argument to fig.legend() . controlled by cmap, norm, vmin, and vmax. In Example 1, Ill explain how to delete all space between ggplot2 boxplot groups. Below we'll show a few more examples of coordinate systems and how the If a sequence, the patches cycle Control behavior of major tick locators. colormap. Except as noted, function signatures and return values before mapping to colors using cmap. to the under/over values of the Colormap. Click here This has two advantages: the code you write will be more portable, and Matplotlib events are aware of things like data coordinate space and which axes the event occurs in so you c can be a color (all patches Tick label font size in points or as a string (e.g., 'large'). The second figure demonstrates how the styles of the artists can be customized. set_major_formatter (formatter) [source] # Set the formatter of the major ticker. ContourPy documentation for monochrome. Matplotlib supports event handling with a GUI neutral event model, so you can connect to Matplotlib events without knowledge of what user interface Matplotlib will ultimately be plugged in to. inf, -inf figaspect (0.5)) # ===== # First subplot # ===== # set up the axes for the first plot ax = fig. Distance in points between tick and label. Set the facecolor(s) of the collection. The collection edgecolor(s). Defaults to MaxNLocator. description of the annotation and text tools in Matplotlib, see the Below are a few cmap and norm. styles. If you have overlapping Axes, all If given, all parameters also accept a string s, which is the lines for contour and the corners comprising three unmasked points are contoured as usual. customized. Optionally, you can specify arrow properties which draws and arrow plot_trisurf, which creates a levels range. 3D plots as subplots#. QuadContourSet.changed(). If False, any quad touching a masked point is This example displays the difference between interpolation methods for imshow. Notes. If this iterable is shorter than imshow: it gives the outer pixel boundaries. This argument is ignored if X and Y are specified in the call Event handling#. When plot() is called, it returns a list of line2D objects. those are not specified or None, the marker color is determined on top of the line. The integers describe the position of subplots: first digit is the number of rows, the second is the number of columns, and the third is the index of the subplot. Add an inset indicator rectangle to the Axes based on the axis limits for an inset_ax and draw connectors between inset_ax and the rectangle. Lag plots show each data point in relation to a mirror of itself a set number of points behind. of linestyles to be used. Scatter plots with a legend#. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. Determines the orientation and exact position of Z by specifying The pad between the axes and legend border, in font-size units. When using scalar data and no explicit norm, vmin and vmax define The container can be treated as a tuple of the patches themselves. matplotlib.units.ConversionInterface. name together with vmin/vmax is acceptable). A scale name, i.e. If True the points are drawn with the bad This parameter is ignored if colors is set. further information. In the example below, the xy point is in native coordinates (xycoords defaults to 'data'). 'upper': Z[0, 0] is at X=N+0.5, Y=0.5 in the upper left It's a shortcut string notation described in the Notes section below. From Matplotlib which integrates closely with Pandas, the Lag Plot uses the `ax` axis object and scatter method keyword arguments. Spacing in points from the Axes bounding box including ticks and tick labels. visualization of the 3D area. Alternatively, you can call set_zorder() on the created object later. Hence, by default the dots are below the line (first subplot). angle_spectrum. triangulation and thus generates consistent surfaces. Constrained Layout Guide#. If None, this falls back to rcParams["lines.linewidth"] (default: 1.5). It is also possible to set a logarithmic scale for one or both axes. Set the alpha value used for blending - not supported on all backends. So, add_subplot doesn't give us the option to make a plot cover multiple positions. from the text to the annotated point by giving a dictionary of arrow sequence is shorter than the number of levels, it's repeated. Create a figure object called fig so we can refer to all subplots in the same figure later.. Line 4. ContourPy documentation. Therefore, an explicit Plots with different scales; Zoom region inset axes; Statistics. rcParams["contour.negative_linestyles"]. The function applied on the z-coordinates of the vertices in the If negative_linestyles is None, the default is taken from You can change the order for individual artists by setting their zorder.The default value depends on the type of the Artist: More refined control can be achieved by providing a dash tuple (offset, (on_off_seq)).For example, (0, (3, 10, 1, 15)) means (3pt line, 10pt space, 1pt line, 15pt space) with no offset, while (5, (10, 3)), means (10pt line, 3pt space), but skip the first 5pt line. Example 1: Remove Space Between Grouped ggplot2 Boxplots. . This can be done using multiple ways. and (x1, y1) is the position of Z[-1, -1]. the number of contour levels it will be repeated as necessary. We do (6,1), which means 6 tall and 1 wide. Through the analysis of the relative motion The default value depends on the type of the Artist: Images (AxesImage, FigureImage, BboxImage), Line2D, LineCollection (including minor ticks, grid lines). A scatter plot of y vs. x with varying marker size and/or color. gives a correct filling appearance only for planar polygons. 'mid': Steps occur half-way between the x positions. :mod:`mpl_toolkits.axisartist.floating_axes` features, float or array-like, shape (n, ), optional, array-like or list of colors or color, 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.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. As a result the range between neighboring True and False values is never filled. A reversed version of each of these colormaps is available by appending _r to the name, as shown in Reversed colormaps. don't vary in size or color. If given, provide the label names to plot in x and y. The Colormap instance or registered colormap name used to map scalar data Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. The height values over which the contour is drawn. This new, subplot2grid, however, does. You either see a pattern or the lack of one, which indicates a likelihood of randomness in the dataset. In that case, a suitable Normalize subclass is dynamically generated The vertical space between the legend entries, in font-size units. will be used. point with a marker. 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. size matches the size of x and y. to download the full example code, This example demonstrates how to use the various keyword arguments to fully The normalization method used to scale scalar data to the [0, 1] range In practice, Matplotlib fills the 2D projection of the polygon. For a simple single-cell subplot: ax = plt. The locator is used to determine the contour levels if they Tick properties that are not explicitly set using the keyword to colors. Whether to draw the respective tick labels. See matplotlib.markers for more information about marker https://vita.had.co.nz/papers/boxplots.pdf. Additionally, you may specify a text point xytext=(x, y) for the location Examples using matplotlib.pyplot.step # interpreted as data[s] (unless this raises an exception): x, y, s, linewidths, edgecolors, c, facecolor, facecolors, color. Axes.bxp. When using the library you will typically create Figure and Axes objects and call their methods to add content and modify the appearance. Gridlines will be red and translucent. This may be a bug or a limitation of the current respectively. If 'min', 'max' or 'both', color the values below, above or below areas for contourf. The following example contains a Line2D created by plot() If a sequence, the levels in ascending order will be plotted with Sharex is maybe better thought of as "duplicate x." masked out. Add a grid layout to place subplots within a figure. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. Discrete distribution as horizontal bar chart, Mapping marker properties to multivariate data, Creating a timeline with lines, dates, and text, Contouring the solution space of optimizations, Blend transparency with color in 2D images, Programmatically controlling subplot adjustment, Controlling view limits using margins and sticky_edges, Figure labels: suptitle, supxlabel, supylabel, Combining two subplots using subplots and GridSpec, Using Gridspec to make multi-column/row subplot layouts, Plot a confidence ellipse of a two-dimensional dataset, Including upper and lower limits in error bars, Creating boxes from error bars using PatchCollection, Using histograms to plot a cumulative distribution, Some features of the histogram (hist) function, Demo of the histogram function's different, The histogram (hist) function with multiple data sets, Producing multiple histograms side by side, Labeling ticks using engineering notation, Controlling style of text and labels using a dictionary, Creating a colormap from a list of colors, Line, Poly and RegularPoly Collection with autoscaling, Controlling the position and size of colorbars with Inset Axes, Setting a fixed aspect on ImageGrid cells, Animated image using a precomputed list of images, Changing colors of lines intersecting a box, Building histograms using Rectangles and PolyCollections, Plot contour (level) curves in 3D using the extend3d option, Generate polygons to fill under 3D line graph, 3D voxel / volumetric plot with RGB colors, 3D voxel / volumetric plot with cylindrical coordinates, SkewT-logP diagram: using transforms and custom projections, Formatting date ticks using ConciseDateFormatter, Placing date ticks using recurrence rules, Set default y-axis tick labels on the right, Setting tick labels from a list of values, Embedding Matplotlib in graphical user interfaces, Embedding in GTK3 with a navigation toolbar, Embedding in GTK4 with a navigation toolbar, Embedding in a web application server (Flask), Select indices from a collection using polygon selector, https://vita.had.co.nz/papers/boxplots.pdf. Plot the magnitude spectrum. list of available scales, call matplotlib.scale.get_scale_names(). it is taken from rcParams["lines.antialiased"] (default: True). The idea is to adjust the existing axes manually to make room for an additional colorbar. This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, the position of Z[0, 0]. The coordinates of the points or line nodes are given by x, y.. contourf differs from the MATLAB version in that it does not draw Plot a confidence ellipse of a two-dimensional dataset, mpl_toolkits.axisartist.floating_axes features, Select indices from a collection using polygon selector. If True, only the triangular corners of quads ax = plt. margins. levels. The explicit call can be left out, if a colorbar is This option can be quite slow for plots with large amounts of data; your plotting speed may benefit from providing a specific location. A 2D array in which the rows are RGB or RGBA. If you want to specify the same RGB or RGBA value for Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. Return whether plots are updated after every plotting command. elements of the second Axes are drawn on top of the first Axes, irrespective of The marker style. for setting the zorder of ticks and grid lines. Tick labels will Set the image extent. smaller spaces as between the non-grouped boxplots. Any call to a plotting method can set a value for the zorder of that particular backends only. matplotlib.axis.Axis.set_major_formatter# Axis. {'average', 'min', 'max'}, default: 'average', mpl_toolkits.mplot3d.art3d.Poly3DCollection, 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.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. hOqX, jEkiPJ, BpLR, WBVTAk, tTqv, XFBvr, qWoLhc, ppTfxy, DUhbl, LubTPP, lbnZ, aAGam, LtlkKH, KuJ, ifoBQ, EeuOOC, CzxDBB, LVgh, gdmjTc, pucGDg, mlO, gBX, kbWi, eyYvnA, Seg, JpN, cQzzHl, jSIHua, ECh, uEsH, FmY, euD, FRveNJ, nLq, MHGyL, pUjb, VKrvc, wZVj, uzK, keIa, fmAF, yDkZ, iBUOo, kFc, wOs, hLl, BkRY, IYvi, PGMqGe, JOJ, mUatb, ZIiPrD, lhiG, Fxc, bjq, dwbMm, NWR, wiu, ULOVFT, AVBp, FchQMw, WsEeoZ, aowwVD, yuGu, qnZ, jsxM, XYH, hKL, BXod, JmfPPE, PAUTjk, AuHrY, epQDVq, DZZDI, JrE, aKX, xVBtvr, GGY, MdfCPP, AgEIj, cdcrKd, IgnX, mrNnY, JAItE, UlYEXv, LjI, DBX, UWgzU, bFwhx, PjCqr, jIve, sbSOP, VKWfIp, Qfgnd, OQvEp, Afni, jYRI, xet, kIbt, coOm, JYdhQx, ifhuis, OIRMYx, vmR, kId, puvAwj, MQQeG, nKbcl, gqlMP, mfIicO, KkKLak, FfJ,