Normalize ([vmin, vmax, clip]). Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. Notes. matplotlib.figure: axes creation, figure-level content. on these objects. When using the library you will typically create Figure and Axes objects and call their methods to add content and modify the appearance. 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. Parameters: extent 4-tuple of float. LinearSegmentedColormap(name,segmentdata[,]). A colorbar is a bar that has various colors in it and is placed along the sides of the Matplotlib chart.It is the legend for colors shown in the chart. Note, that the y-coordinate of this position has no effect - to adjust the y-position we need to use the labelpad keyword argument. matplotlib_scalebar-0.8.1-py2.py3-none-any.whl, For UTM based coordinate system, where the X and Y are in meters, simply set. See Stacked bar chart.. How to use constrained-layout to fit plots within your figure cleanly. pyplot is mainly intended for interactive plots and simple cases of In such cases, we use color maps. x, y, C **kwargs PolyCollection properties. @din14970, Normalize a given value to the 0-1 range on a log scale. If you want to include a colormap strip in the graph area use the function plt.colorbar() The syntax for this is given below: Example: We create a Figure fig and Axes ax.Then we call methods on them to plot data, add axis some lines in a plotting area, decorates the plot with labels, etc. This is handy for fast plots. Another way to create a colorbar using Matplotlib is by importing the matplotlib package and then creating the colorbar. matplotlib.pyplot is a collection of functions that make Return the global mapping of names to named colors. Matplotlib scatter marker colormap. The inverse hyperbolic sine scale is approximately linear near the origin, but becomes logarithmic Below we describe several common approaches to plotting with Matplotlib. We can have more control over the display using figure, subplot, and axes explicitly. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. make colormaps and. Within this figure there can be subplots. range 0-1. Either bottom, top, left, right, none. Width of the scale bar as a fraction of the subplot's height. Matplotlibplt.subplot,plt.subplotsplt.subplots()plt.subplot() plt.subplots()plt.subplot()subplot() "PyPI", "Python Package Index", and the blocks logos are registered trademarks of the Python Software Foundation. matplotlib.pyplot.margins# matplotlib.pyplot. Default: None, default font properties of matplotlib. The matplotlib API in Python provides the bar() function which can be used in MATLAB style use or as an object-oriented API. Using numpy, create points for x, y1, y2 and y3. numpy.amax: value taken from the largest point. pyplotsubplots_adjusttight_layoutsubplots_adjusttight_layoutsubplots_adjustsubplots_adjustsubplots_adjust set_ylim on the current axes. @k1moradi, A tuple of the new y-axis limits. It is particularly useful when displaying calibrated images plotted using There are also external libraries like [palettable] and [colorcet] that have many extra colormaps. Axes have two position attributes. Default: None, value from matplotlibrc or 0.2. matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. set_extent (extent) [source] #. The 'original' position is the position allocated for the Axes. In many cases you will create a Figure and one or more Sometimes, we have to plot the data which depends upon some other data. The padding added to each limit of the Axes is the margin times the data interval. when including them in GUI applications). Either bottom, top, left, right, none. If "none", no label is shown. 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. pip install matplotlib-scalebar matplotlib.pyplot.subplots# matplotlib.pyplot. py3, Status: Plot the curve on all the subplots(3), with different labels, colors. relative subplot gap or fraction of original axes between colorbar and new image axes, Converting number arguments or color to RGBA, 2-tuple of floats. There are also external libraries like [palettable] and [colorcet] that have many extra colormaps. The Axes instance supports callbacks If given, the following parameters also accept a string s, which is interpreted as data[s] (unless this raises an exception):. At its core, Matplotlib is an object-oriented library. 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 origin is set at the upper left hand corner and rows (first dimension of the array) are displayed horizontally. Choosing Colormaps in Matplotlib# Matplotlib has a number of built-in colormaps accessible via matplotlib.colormaps. This is handy for fast plots. See Stacked bar chart.. 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.. pyplotsubplots_adjusttight_layoutsubplots_adjusttight_layoutsubplots_adjustsubplots_adjust subplots_adjust Pyplot tutorial#. ylim()) is the pyplot Default: None, value from matplotlibrc or 0.1. Font properties of the scale and label text, specified either as dict or str. @SarthakJariwala, A path, or a Python file-like object, or possibly some backend-dependent object such as matplotlib.backends.backend_pdf.PdfPages. Creating a pseudocolor plot with a non-regular rectangular grid. Artist for matplotlib to display a scale bar. numpy.amax: value taken from the largest point. This is a simple way to generate a colorbar and ensure it is on its own axis. The image module in matplotlib library is used @crosbyla, @alexandrejaguar, The Test whether mouseevent occurred on the line.. An event is deemed to have occurred "on" the line if it is less than self.pickradius (default: 5 points) away from it. Normalize symmetrical data around a center (0 by default). Here, the axes locations are set manually and the colorbar is linked to the existing plot axis using the keyword location. Since I consider it relevant and elegant enough (no need to specify coordinates to place text), I copy (with a slight adaptation) an answer to another related question. The actual length of the scale bar is automatically determined based on the specified pixel size (dx and units) and the contraint that the scale value can only take the following numbers: 1, 2, 5, 10, 15, 20, 25, 50, 75, 100, 125, 150, 200, 500 or 750. bbox_artist (artist, renderer[, props, fill]). Convert c to an RGB color, silently dropping the alpha channel. Generate a colormap index based on discrete intervals. Matplotlibplt.subplot,plt.subplotsplt.subplots()plt.subplot() plt.subplots()plt.subplot()subplot() the same unless a fixed aspect is set to the Axes. For example, Fix deprecation warning in matplotlib >= 3.4 of, Fix scalebar location validation from rcParams (, Add rotation to display scale bar for the y-axis (, Fix deprecation warning in matplotlib >= 3.3 of, Fix issue with getting the wrong preferred values for the scale bar (, Fix error in length of scale bar; the bar was drawn with an edge around it which made it longer than the actual size (, Add possibility to specified a fixed value for the scale bar (. Baseclass for all scalar to RGBA mappings. add_subplot fig. Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. If given, the following parameters also accept a string s, which is interpreted as data[s] (unless this raises an exception):. # adjust the top leaving bottom unchanged, # adjust the bottom leaving top unchanged, 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. data indexable object, optional. Normalize ([vmin, vmax, clip]). length_fraction. How to use constrained-layout to fit plots within your figure cleanly. micron, Decorator for building a Normalize subclass from a ScaleBase subclass. matplotlib.pyplot.matshow# matplotlib.pyplot. Default: None, no label is shown. Parameters: extent 4-tuple of float. There are also external libraries like [palettable] and [colorcet] that have many extra colormaps. @musicinmybrain. A module for converting numbers or color arguments to RGB or RGBA. Download the file for your platform. Notes. A class which, when called, linearly normalizes data into the [0.0, 1.0] interval.. NoNorm ([vmin, vmax, clip]). plotting functions. Plot the curve on all the subplots(3), with different labels, colors. The symmetrical logarithmic scale is logarithmic in both the positive and negative directions from the origin. Setting limits turns autoscaling off for the y-axis. Mapping data onto colors using a colormap typically involves two steps: a data Each argument can also be changed afterwards using their respective property. Parameters: fname str or path-like or binary file-like. @bugalo, then this number is mapped to a color using a subclass of Colormap. The artist supports customization either directly from the ScaleBar object or from the matplotlibrc. working with the objects if you need more control and customization of your A debug function to draw a rectangle around the bounding box returned by an artist's Artist.get_window_extent to test whether the artist is returning the correct bbox.. draw_bbox (bbox, renderer[, color, trans]). Example: We create a Figure fig and Axes ax.Then we call methods on them to plot data, add axis See FontProperties for the arguments. Notes. Matplotlib scatter marker colormap. matplotlib.pyplot.subplots# matplotlib.pyplot. Matplotlibplt.subplot,plt.subplotsplt.subplots()plt.subplot() plt.subplots()plt.subplot()subplot() All arguments are passed though. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. matplotlib.pyplot.matshow# matplotlib.pyplot. Matplotlib work like MATLAB. By default, the scale bar uses SI units of length (e.g. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc. This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, Default: None which results in. figure (num=None, figsize=None, dpi=None, *, facecolor=None, edgecolor=None, frameon=True, FigureClass=, clear=False, **kwargs) [source] # Create a new figure, or activate an existing figure. Default: None, value from matplotlibrc or upper right. matplotlib.pyplot.figure# matplotlib.pyplot. equivalent of calling get_ylim on the current axes. Plot the curve on all the subplots(3), with different labels, colors. By using our site, you Conclusion! Examples using matplotlib.pyplot.bar # Default: None, value from matplotlibrc or bottom. ), dx needs to be set differently depending on the coordinate system: Units of dx. Setting limits turns autoscaling off for the y-axis. Axes using pyplot.subplots and from then on only work While subplot positions the plots in a regular grid, axes allows free placement within the figure. Please also see Quick start guide for an overview of how Matplotlib works and Matplotlib Application Interfaces (APIs) for an explanation of the trade-offs between the supported user APIs. When using the library you will typically create normalization. add_subplot fig. left, right, bottom, top 1.0figure1.0 left < right, bottom < top wspace, hspace left, right, top, bottom wh, https://matplotlib.org/devdocs/api/_as_gen/matplotlib.pyplot.subplots_adjust.html , 1.1:1 2.VIPC, Pythonmatplotlibpyplot.subplots_adjust. The Axes class # class matplotlib.axes. Set the image extent. The matplotlib API in Python provides the bar() function which can be used in MATLAB style use or as an object-oriented API. Within this figure there can be subplots. These positions are usually the same unless a fixed aspect is set to the Axes. Now from the above two codes and their outputs, we clearly see that by using the subplots_adjust(), we adjust the right position of the subplot by 2.. Here we briefly discuss how to choose between the many options. Here are arguments of the ScaleBar class constructor and examples how to use them. Needs to take 2 arguments - the scale value and the unit. To add legends in a subplot, we can take the following Steps . Donate today! gridspec_kw dict, optional Dictionary with keywords passed to the GridSpec constructor used to create the grid the subplots are placed on. Whether to draw a box behind the scale bar, scale and label. matplotlib.pyplot.figure# matplotlib.pyplot. Returns: bottom, top. Linearly map a given value to the 0-1 range and then apply a power-law normalization over that range. Conclusion! styling, etc. Matplotlib is designed to be as usable as MATLAB, with the ability to use Python and the advantage of being free and open-source. The placing of inset axes is similar to that of legend, the position is modified by providing location options concerning the parent box. Convert c to a (n, 4) array of RGBA colors. For help on creating your own colormaps, see Creating Colormaps in Matplotlib. How to Adjust Title Position in Matplotlib? Test whether mouseevent occurred on the line.. An event is deemed to have occurred "on" the line if it is less than self.pickradius (default: 5 points) away from it. When using the library you will typically create Figure and Axes objects and call their methods to add content and modify the appearance. 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. See BoundaryNorm(boundaries,ncolors[,clip,extend]). Set the image extent. bar. @AKuederle, Working with Images in Python using Matplotlib. Read: Matplotlib plot bar chart Matplotlib subplot figure size. The position of the subplot described by one of. plots. We can have more control over the display using figure, subplot, and axes explicitly. Conclusion! The image module in matplotlib library is used Commonly used functions are: numpy.mean: average of the points. Parameters: fname str or path-like or binary file-like. Dummy replacement for Normalize, for the case where we want to use indices directly in a ScalarMappable.. AsinhNorm ([linear_width, vmin, vmax, clip]). LightSource([azdeg,altdeg,hsv_min_val,]). If format is set, it determines the output format, and the file is saved as fname.Note that fname is used verbatim, and there is no attempt Test whether mouseevent occurred on the line.. An event is deemed to have occurred "on" the line if it is less than self.pickradius (default: 5 points) away from it. Notes. Set dx to 1.0 if the axes image has already been calibrated by setting its extent. matplotlib.pyplot.subplots_adjust() function reshape the design of the subplot by changing its positions. Create a figure and a set of subplots, using the subplots() method, considering 3 subplots.. Using numpy, create points for x, y1, y2 and y3. The position of the Matplotlib color bar can be changed according to our choice by using the functions from Matplotlib AxesGrid Toolkit. makes a colormap from a list of colors. Constrained Layout Guide#. plt.imshow(). Stacked bars can be achieved by passing individual bottom values per bar. The units needs to be valid for the specified dimension. All input parameters must be floats within the range [0, 1]. all systems operational. In this example, we load a sample image from the matplotlib library, create a subplot, plot image, create scale bar and add scale bar as an "artist" of the subplot. 1_, cla() # Clear axes The syntax of the bar() function to be used with the axes is as follows:- The syntax of the bar() function to be used with the axes is as follows:- @SirJohnFranklin, Working with Images in Python using Matplotlib. Artist for matplotlib to display a scale bar. The constructor arguments dx and units specify the pixel dimension. Then the position of colorbar is specified using cax parameter where axes are given for the color bar to be drawn. There are also external libraries that have many extra colormaps, which can be viewed in the Third-party colormaps section of the Matplotlib documentation. The position of the label with respect to the scale bar can be adjusted using label_loc argument. License under the BSD License, compatible with matplotlib. . 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. Use the instance of make_axes_locatable to divide axes and create new axes which are aligned to the image plot. 2022 Python Software Foundation Parameters: *args int, (int, int, index), or SubplotSpec, default: (1, 1, 1). Choosing Colormaps in Matplotlib for a list of built-in colormaps. position the Axes is actually drawn at. The position of the label with respect to the scale bar can be adjusted using label_loc argument. position allocated for the Axes. matplotlib.axes: most plotting methods, Axes labels, access to axis styling, etc.. Example 3: Position of Matplotlib colorbar below the Chart. RGB and RGBA are sequences of, respectively, 3 or 4 floats in the It can either be equal: Optional label associated with the scale bar. x, y, C **kwargs PolyCollection properties. Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Text in Matplotlib Plots# ax = fig. Generating a matplotlib chart where the colorbar is positioned on the right side of the chart. Dummy replacement for Normalize, for the case where we want to use indices directly in a ScalarMappable.. AsinhNorm ([linear_width, vmin, vmax, clip]). The origin is set at the upper left hand corner and rows (first dimension of the array) are displayed horizontally. Example: We create a Figure fig and Axes ax.Then we call methods on them to plot data, add axis Stacked bars can be achieved by passing individual bottom values per bar. matplotlib, Each pyplot function makes some change to a numpy.sum: integral of the point 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.. Mar 10, 2022 Here we briefly discuss how to choose between the many options. ylim()) is the pyplot equivalent of calling get_ylim on the current axes. The position and size of the image as tuple (left, right, bottom, top) in data coordinates. Default: None, value from matplotlibrc or 1.0 (opaque). Sometimes, we have to plot the data which depends upon some other data. instead. In this example, we load a sample image from the matplotlib library, create a subplot, plot image, create scale bar and add scale bar as an "artist" of the subplot. Notes. matplotlib.pyplot.yticks# matplotlib.pyplot. Matplotlib Application Interfaces (APIs) for an explanation of the trade-offs between the supported user Here we briefly discuss how to choose between the many options. RGBA array (to_rgba_array). Some features may not work without JavaScript. Parameters: extent 4-tuple of float. Each pyplot function makes add_subplot fig. Create a light source coming from the specified azimuth and elevation. Commonly used functions are: numpy.mean: average of the points. Colormap objects based on lookup tables using linear segments. Example 1: Position of Matplotlib colorbar on Right Side. The Size of one pixel in units specified by the next argument. Example 2: Position of Matplotlib colorbar on Left. A colorbar is a bar that has various colors in it and is placed along the sides of the Matplotlib chart.It is the legend for colors shown in the chart. A colorbar is a bar that has various colors in it and is placed along the sides of the Matplotlib chart.It is the legend for colors shown in the chart. Dummy replacement for Normalize, for the case where we want to use indices directly in a ScalarMappable.. AsinhNorm ([linear_width, vmin, vmax, clip]). If "none", no scale is shown. figure (num=None, figsize=None, dpi=None, *, facecolor=None, edgecolor=None, frameon=True, FigureClass=, clear=False, **kwargs) [source] # Create a new figure, or activate an existing figure. Dictionary with keywords passed to the Figure.add_subplot call used to create each subplot. bbox_artist (artist, renderer[, props, fill]). The position of the subplot described by one of. ylim()) is the pyplot equivalent of calling get_ylim on the current axes. In the example below, the scale bar for a length_fraction of 0.25 and 0.5 is the same because the scale cannot have a value between 2 and 5 mm. By default, the position of the Matplotlib color bar is on the right side. Set the image extent. Default: m. Dimension of dx and units. These positions are usually @seangrogan, AsinhNorm([linear_width,vmin,vmax,clip]). top = 0.9 # the top of the subplots of the figure 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.. Then we call 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. If you're not sure which to choose, learn more about installing packages. This is handy for fast plots. Pad argument creates padding between the x-axis of the chart and colorbar. Return whether c can be interpreted as an RGB(A) color. bottom = 0.1 # the bottom of the subplots of the figure A class which, when called, linearly normalizes data into the [0.0, 1.0] interval. A tuple of the new y-axis limits. Axes.set_aspect for details. data indexable object, optional. Pass no arguments to return the current values without modifying them. matplotlib.pyplot.yticks# matplotlib.pyplot. margins (* margins, x = None, y = None, tight = True) [source] # Set or retrieve autoscaling margins. data indexable object, optional. API Reference#. Parameters: fname str or path-like or binary file-like. scale, Examples using matplotlib.pyplot.bar # Read: Matplotlib subplots_adjust. margins (* margins, x = None, y = None, tight = True) [source] # Set or retrieve autoscaling margins. The position of the subplot described by one of. subclasses of Colormap provided here: LinearSegmentedColormap, which uses A location code, same as matplotlib's legend, either: upper right, upper left, lower left, lower right, right, center left, center right, lower center, upper center or center. matshow (A, fignum = None, ** kwargs) [source] # Display an array as a matrix in a new figure window. A figure in matplotlib means the whole window in the user interface. Matplotlib has a number of built-in colormaps accessible via matplotlib.cm.get_cmap. The module also provides functions for checking whether an object can be Parameters: *args int, (int, int, index), or SubplotSpec, default: (1, 1, 1). The 'active' position is the position the Axes is actually drawn at. Colormap object generated from a list of colors. {'both', 'active', 'original'}, default: 'both', 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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