Plot a pie chart in Python using Matplotlib. rev2022.12.9.43105. How do I check whether a file exists without exceptions? The attribute bbox_to_anchor=(x, y) of legend() function is used to specify the coordinates of the legend, and the attribute ncol represents the number of columns that the legend has.Its default value is 1. matplotlib.pyplot.legend([blue, green], bbox_to_anchor=(0.75, 1.15), ncol=2). To learn more, see our tips on writing great answers. Create a figure and a set of subplots, using the subplots () method, considering 3 subplots. Looking at the details of help(ax.legend) and the docs , there does not seem to be a straight forward way to change this to horizontal. absolute font size in points. is shown in the legend and the automatic mechanism described above cifar-10 .. 67%, . matplotlib.pyplot.show(*, block=None) [source] # Display all open figures. use rcParams["text.color"] (default: 'black'). Creating Local Server From Public Address Professional Gaming Can Build Career CSS Properties You Should Know The Psychology Price How Design for Printing Key Expect Future. (i<x-1): i = i +1 else: j = j + 1 i = 0 plt.show() the legend shown in risk should appear in exp level and for the risk graph a legend is also available but isn't getting shown . How do I get the number of elements in a list (length of a list) in Python? For full control of which artists have a legend entry, it is possible . september 16 urban dictionary . How to use a VPN to access a Russian website that is banned in the EU? Matplotlib bar chart x-axis label horizontal By using the xticks () method we can easily align the labels on the x-axis. Automated legend creation # Another option for creating a legend for a scatter is to use the PathCollection.legend_elements method. String values are relative to the current are closed. The call signatures correspond to the following different ways to use Creating Local Server From Public Address Professional Gaming Can Build Career CSS Properties You Should Know The Psychology Price How Design for Printing Key Expect Future. 11.9.2 Python # -*- coding: utf-8 -*- #Notebookpyecharts.charts from pyecharts.globals import CurrentConfig, NotebookType Curre Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. It is a cross-platform library for making 2D plots from data in arrays. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. Or is there? Save the figure to an image file instead of showing it on screen. In this article we will show you some examples of legends using matplotlib. The location can also be a 2-tuple giving the coordinates of the lower-left Whether the legend should be drawn on a patch (frame). Plot a Point or a Line on an Image with Matplotlib. python plt,. matplotlib figure 1 2 Legend Annotation tick figure () : plot () : show () : import matplotlib.pyplot as plt import numpy as np # np.linspacex (-1,1);50. the errorbar () function in pyplot module of matplotlib library is used to plot y versus x as lines and or markers with attached errorbars. To place the legend for each curve or subplot adding label. How to Place Legend Outside of the Plot in Matplotlib? 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, Creating multiple subplots using plt.subplots, 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 histtype settings, 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, mpl_toolkits.axisartist.floating_axes features, 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, Select indices from a collection using polygon selector, Customizing Matplotlib with style sheets and rcParams. Pyplot is a collection of command style functions that make matplotlib work like MATLAB. Prerequisites: matplotlib. Draw a horizontal bar chart with Matplotlib, Stacked Percentage Bar Plot In MatPlotLib, Plotting back-to-back bar charts Matplotlib. Python | Index of Non-Zero elements in Python list. Matplotlib figure class has a legend method to place the legend on the figure level but not the subplot level. How To Adjust Position of Axis Labels in Matplotlib? height yfloat . Matplotlib legend insideTo place the legend inside, simply call legend(): Matplotlib legend on bottomTo place the legend on the bottom, change the legend() call to: Take into account that we set the number of columns two ncol=2 and set a shadow. The vertical space between the legend entries, in font-size units. an iterable of strings, one for each legend item. matplotlib.rcParams will be used. Let us first see how to create a legend in matplotlib. pythonmatplotlib,.,. Legend guide for details. name function in python matplotlib in legend what is legend in python matplotlib legend for plot matplotlib legend inside plot matplot legend location legend matlibplot legend name python matlibplot matplotlib legend x axis how to change legend position in matplotlib legend plot ypthon plt.plot dataframe legend matplotlib get_legend . If True block and run the GUI main loop until all figure windows also None, the current rcParams["legend.title_fontsize"] (default: None) will be used. Is there any reason on passenger airliners not to have a physical lock between throttles? %matplotlib notebook, or %matplotlib widget), call show() at We can add the legend after making the plot by using legend() function. Matplotlib has native support for legends. The Scipy curve_fit function determines. 'upper left', 'upper right', 'lower left', 'lower right' Thus, you usually don't have to call it when you do not pass in any extra arguments. Call signatures: legend() legend(handles, labels) legend(handles=handles) legend(labels) The call signatures correspond to the following different ways to use this method: 1. In general, you add a legend with matplotlib by calling .legend (): However, if you would do that with the above code, matplotlib would fail to generate a legend. To add legends in a subplot, we can take the following Steps Using numpy, create points for x, y1, y2 and y3. How to change angle of 3D plot in Python? They are : Using .remove () Using .set_visible () Fix legend_ attribute of the required Axes object = None Using label=_nolegend_ Related course Why is apparent power not measured in Watts? Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. But the following example represents the gist of the challenge: The default layout seems to be vertical. If None (default), the current The legend () method adds the legend to the plot. Matplotlib is one of the most popular Python packages used for data visualization. The height of the legend handles, in font-size units. are aligned as a single block, so that markers always lined up. Legend: A legend is an area describing the elements of the graph. place the legend at the corresponding corner of the axes/figure. syntax: legend (*args, **kwargs) This can be called as follows, legend () -> automatically detects which element to show. Here we have to set the rotation key to " horizontal" so, we can align the bar chart labels on the x-axis in horizontal directions. In the matplotlib library, there's a function called legend () which is used to Place a legend on the axes. JavaScript vs Python : Can Python Overtop JavaScript by 2020? But the following example represents the gist of the challenge: Snippet: is not sufficient. In the matplotlib library, theres a function called legend() which is used to Place a legend on the axes. data; your plotting speed may benefit from providing a specific location. How To Annotate Bars in Barplot with Matplotlib in Python? of None (default) the Axes' Syntax: . How to Create a Single Legend for All Subplots in Matplotlib? The pad between the axes and legend border, in font-size units. How do I merge two dictionaries in a single expression? Matplotlib how to add global legend for subplot of histograms. Whether round edges should be enabled around the FancyBboxPatch which corner of the legend in axes coordinates (in which case bbox_to_anchor Python matplotlib(legend). ax. We use the facecolor parameter to modify the legend background color. pyplot.savefig afterwards would save a new and thus empty figure. placement of the legend. If False ensure that all figure windows are displayed and return immediately. center of the axes (or figure) the following keywords can be used: The number of columns that the legend has. The bbox_to_anchor argument accepts a few arguments itself. It was introduced by John Hunter in the year 2002. In this case, you are responsible for ensuring Whether to draw a shadow behind the legend. The transform for the bounding box (bbox_to_anchor). To make a legend for all artists on an Axes, call this function with The font properties of the legend's title. Why do American universities have so many gen-eds? The legend() method adds the legend to the plot In this article we will show you some examples of legends using matplotlib I'm not convinced this would really that frequently be used How To Set Up Voicemail On Samsung Galaxy A51 Stack Exchange network consists of 176 Q&A communities including Stack Overflow, the largest, most trusted . The pad between the legend handle and text, in font-size units. The attribute Loc in legend() is used to specify the location of the legend.Default value of loc is loc=best (upper left). 0.0 is at the base the If True, legend marker is placed to the left of the legend label. 1980s short story - disease of self absorption. "/> trendy synonym. Working with Images in Python using Matplotlib, Python | Working with PNG Images using Matplotlib. I'd like to set the legend to be displayed horizontally. 'upper center', 'lower center', 'center left', 'center right' The alpha transparency of the legend's background. pyplot.savefig before pyplot.show. pythonplotmatplotlibpython - python(matlab)1234import matplotlib.pyplot as pltplt.plot(x,y,'ro',label="point")plt.legend()plt.show()legend. To show legend elements horizontally, we can take the following steps Set the figure size and adjust the padding between and around the subplots. But at that time, I didn't draw it as much as it is now Dual axis So we can learn the source code displayed in the example, give it to legend Function . Now that I know what to search for (ncol instead of orientation, vertical, horizontal or whatever), I'll have to say that it was all embarrasingly easy. For this purpose, there is a function called legend () present in matplotlib library. For back-compatibility, 'center right' (but no other location) can also Note: This cannot be combined with title_fontproperties. The vertical offset (relative to the font size) for the markers created for a scatter plot legend entry. Calculate the area of an image using Matplotlib. numeric value: Box that is used to position the legend in conjunction with loc. Show only certain items in legend Python Matplotlib Ask Question Asked 8 years, 5 months ago Modified 5 months ago Viewed 95k times 108 I currently am plotting a stacked bar graph of a large amount of taxonomic data, and only wish to show significant species in the legend (out of ~500 I wish to show ~25). If mode is set to "expand" the legend will be horizontally How to Create Different Subplot Sizes in Matplotlib? Legend could be placed outside the plot in the Matplotlib by using bbox_to_anchor. This warning usually occurs for one of two reasons: 1. plt.grid ()alpha0~1linestyle. Insert a legend to a Matplotlib plot. Explicitly listing the artists in the legend. To add legend to imshow () in Matplotlib, we can take the following steps Set the figure size and adjust the padding between and around the subplots. axes/figure. label properties. parameter in title_fontproperties. pycharmmatplotlib. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. How to increase the size of scatter points in Matplotlib ? from matplotlib import pyplot as plt # matplotlib Python . How did muzzle-loaded rifled artillery solve the problems of the hand-held rifle? We can maually specify labels for legend using Matplotlib's legend() function's argument "labels". The following examples shows how to avoid this warning in both scenarios. Search: Matplotlib X Axis. See Matplotlib, Pyplot, Pylab etc: What's the difference between these and when to. Automatic detection of elements to be shown in the legend. Specify the ncol parameter in legend. This argument is only used if prop is not specified. A legend in the. The relative size of legend markers compared with the originally 3) call plt.legend() passing the modified handles and labels. For a value In your case something like: This is the only line I changed in your script. This handler_map updates the default handler map legend (bbox_to_anchor=(1.05, 1), loc=' upper left ', borderaxespad= 0) The following examples show how to use each of these methods in practice. The following code shows how to place the legend in the top right corner outside of a Matplotlib plot: import matplotlib.pyplot as plt #create plot plt.subplot(211) plt.plot( [2, 4, 6], label="First Data") plt.plot( [6, 4, 2], label="Second Data") #place legend in top right corner plt.legend(bbox_to_anchor= (1,1), loc="upper left") #show plot . The legend's title. set_label() method on the artist: Specific artists can be excluded from the automatic legend element to set the fontsize alongside other font properties, use the size that the event loop is running to have responsive figures. Find centralized, trusted content and collaborate around the technologies you use most. the legend's size). The font size of the legend's title. the end of every cell by default. The following example shows how to create a scatterplot where the legend displays values: import matplotlib.pyplot as plt from matplotlib.colors import ListedColormap #define data x = [3, 4, 4, 6, 8, 9] y = [12, 14, 17, 16, 11, 13] #define values, classes, and colors to map values = [0, 0, 1, 2, 2, 2] classes = ['A', 'B', 'C'] colors . Example: This call signature is discouraged, because the relation between Saving figures to file and showing a window at the same time. The jupyter backends (activated via %matplotlib inline, plt.plot ()label. locations defined so far, with the minimum overlap with other drawn How to create multiple subplots in Matplotlib in Python? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. How to Change Legend Font Size in Matplotlib? Matplotlib is a multi-platform data . To start: import matplotlib.pyplot as plt x = [1,2,3] y = [5,7,4] x2 = [1,2,3] y2 = [10,14,12] if you keep a reference to the figure and use Figure.savefig. If "inherit", use rcParams["axes.facecolor"] (default: 'white'). plt.rcParams['figure.figsize'] = (8.0, 6.0) We then call the ax.legend method to show the legend on the chart. subplots legend in matplotlib. The attribute Loc in legend () is used to specify the location of the legend.Default value of loc is loc="best" (upper left). You can specify If you want an image file as well as a user interface window, use Plotting Various Sounds on Graphs using Python and Matplotlib, COVID-19 Data Visualization using matplotlib in Python, Analyzing selling price of used cars using Python. The string 'center' places the legend at the center of the axes/figure. Braces of armour Vs incorporeal touch attack. artists. matplotlibLinestyle; matplotliblinestyle /Gnuplot linestyle; Matplotlib linestyle; python matplotliblinestyle'---' Seaborn FacetGrid; matplotliblinestyle explicitly there. How Change the vertical spacing between legend entries in Matplotlib? import matplotliBaidu Nhomakorabea.pyplot as plt import numpy as np. Your preferences will apply to this . MOSFET is getting very hot at high frequency PWM. matplotlib. matplotlib.pyplot.bar (x,heightwidth:float = 0.8, bottom = None* align: str = 'center', data = None,**kwargs) xxfloatnp.arange (). In this article, we will discuss how Matplotlib can be employed to add legends in subplots. https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.legend. Then show the plots using show() method. bbox means bounding box that accommodates the legend. How to display the value of each bar in a bar chart using Matplotlib? In order to remove the legend, there are four ways. jq . How do I make a flat list out of a list of lists? Use multiple columns in a Matplotlib legend. The legend() method adds the legend to the plot. By using our site, you . qtqt. In this article we will show you some examples of legends using matplotlib. Hide Axis, Borders and White Spaces in Matplotlib, Visualization of Merge sort using Matplotlib, Visualization of Quick sort using Matplotlib, 3D Visualisation of Quick Sort using Matplotlib in Python, 3D Visualisation of Merge Sort using Matplotlib, 3D Visualisation of Insertion Sort using Matplotlib in Python. Either a valid color string Matplotlib.pyplot.legend () A legend is an area describing the elements of the graph. Some artists are not supported by this function. (for example, 'red'), or a list of color strings. This guide makes use of some common terms, which are documented here for clarity: legend entry # y = [2, 3, 1, 3, 1, 4, 2, 3] plt.scatter (x, y) plt.show Output: Method 2: Using numpy array Function used: arrange Syntax: np.arange (start,end,step) Parameters: Start: starting . How can I safely create a nested directory? legend (labels) -> Name of X and name of Y that is displayed on the legend I do not mean the text of the legend like described in the post Matplotlib legend vertical rotation.My actual case includes an arbitrary number of series specified with a widget. python legend . Matplotlib has native support for legends. If "inherit", use take rcParams["axes.edgecolor"] (default: 'black'). If shadow is activated and framealpha is None, the default value is Whether to wait for all figures to be closed before returning. You failed to create labels for the data in the plot. is not sufficient. but it is discouraged. To modify legend labels: 1) get current labels via get_legend_handles_labels() after plotting. Does a 120cc engine burn 120cc of fuel a minute? Create random data using numpy. this method: 1. . import matplotlib.pyplot as pltpyplotplt 1.1 import pandas as pd import numpy as np import matplotlib.pyplot as plt a = np.arang In this tutorial, we're going to cover legends, titles, and labels within Matplotlib. for our requirement we need to specifically focussing on capsize attribute of this function. Axes or Figure coordinates, depending on which legend is called. limitation of command order does not apply if the show is non-blocking or Is there a simple way to do this? (x, y, width, height) that the legend is placed in. Numerous organizations collect vast amounts of data for making their business decisions. How to create a Scatter Plot with several colors in Matplotlib? to pass an iterable of legend artists followed by an iterable of Initialize a color map. How to Add Title to Subplots in Matplotlib? If None (default), the Does balls to the wall mean full speed ahead or full speed ahead and nosedive? If the value is numeric the size will be the Here, we can specify the x, y, width and height of the legend.. We've only set the x and y values, to displace it -0.10 below the axes, and 0.5 from the left side (0 being the lefthand of the box and 1 the righthand side).. By tweaking these, you can set the legend at any place. Where does the idea of selling dragon parts come from? How to Display an OpenCV image in Python with Matplotlib? int or {'xx-small', 'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large'}, default: {'center', 'left', 'right'}, default: 'center', matplotlib.legend.Legend.get_legend_handler_map, 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. Creating multiple subplots using ``plt.subplots``, Demo of the histogram function's different ``histtype`` settings, The difference between \\dfrac and \\frac, :mod:`mpl_toolkits.axisartist.floating_axes` features, 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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