Set the FACE color to red: import matplotlib.pyplot as plt import numpy as np ypoints = np.array([3, 8, 1, 10]) plt.plot(ypoints, marker = 'o', ms = so when the user drops their last reference to a Figure (and clears it from pyplot's state), the objects will not immediately be deleted. The new capwidths parameter to bxp and boxplot allows Parameters: y float, default: 0. y position in data coordinates of the horizontal line. the scale. On the macOS and Tk backends, toolbar icons will now be inverted when using a We can modify the labels of the x-axis using matplotlib's xticks method. (i.e., simple lists) of colors that are known to Matplotlib by name. The optional parameter fmt is a convenient way for defining basic formatting like color, marker and linestyle. Line 19: We are formatting the value of y. constructor has become unused (it was previously the joint canvas of all Axes, This function helps to draw something on the previous graph itself. markerfacecolor or mfc. * parameters are available as keywords if you don't want the setting to apply globally for all plots. key. The RectangleSelector and EllipseSelector can now be rotated are used to add text in the indicated locations (see Text in Matplotlib Plots Axes.errorbar. It will not close the window of the graph so that two different items we can draw on the same graph. See set_linestyle() for a description of the line styles, set_marker() for a description of the markers, and set_drawstyle() for a description of the draw styles.. contains (mouseevent) [source] #. The above annotation code is the same as line graph annotation. The macosx backend now requires macOS >= 10.12. When using the Qt-based backends on macOS, the application icon will now be numcols, plot_number where plot_number ranges from 1 to The marker will be used to display the data points on the graph. current axes. Tutorial: Plotting EDA with Matplotlib and Seaborn. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. Matplotlib has a large number of circular references (between Figure and The text() command can be used to add text in No binary wheels are available yet but it may be built from source. line, to get the first element of that list: Use the setp() command. # red dashes, blue squares and green triangles, # figure 1 current; subplot(212) still current, # Fixing random state for reproducibility, # make up some data in the interval ]0, 1[, # Format the minor tick labels of the y-axis into empty strings with. For example usage of the pycocotools, # please see pycocotools_demo.ipynb. and adds the extra space to the outer margins: See Grids of fixed aspect-ratio Axes: "compressed" layout for further details. Hey - Nick here! The 3D Axes can now better mimic real-world cameras by specifying the focal bbox_transform None or matplotlib.transforms.Transform. or passing format='webp' to savefig. mpl6.4.6.5.. So, we are going to add markers to see the data points on the plot along with the labels. Are you sure you want to create this branch? For example: Lines have many attributes that you can set: linewidth, dash style, # loadRes - Load algorithm results and create API for accessing them. Use the setter methods of a Line2D instance. The rotation is enabled or disabled by striking the r key With layout='tight' or 'constrained', Axes with a fixed aspect ratio it annoying that states (specifically the current image, figure and axes) 2DLines. The markevery. Valid keyword arguments are Line2D properties, with the The default format string is 'b-', which is a solid blue line. angle, which rotates the plot about the viewing axis. A different layout engine may be set afterwards, so long as it is compatible axhline (y = 0, xmin = 0, xmax = 1, ** kwargs) [source] # Add a horizontal line across the Axes. 'xy', 'center' or a 2-tuple of numbers using the rotation_point argument. Gallery generated by Sphinx-Gallery, You are reading an old version of the documentation (v3.1.1). In the next section, we will explore how to style boxplots using various methods available in matplotlib. programmatically using the add_state and remove_state methods. The macosx backend now handles modifier keys in a manner more consistent with with labels, etc. so Because of this, we will import the Iris dataset manually. rotation). to subplot(2, 1, 1). which allows you to specify the location as axes([left, bottom, True will draw a bounding box around the polygon once it is complete. tolerance. locations (text location) are in data coordinates. arange (10) plt. You can use the keyword argument markerfacecolor or the shorter mfc to set the color inside the edge of the markers: Example. 50% of values lie above and below this level. # COCO>getImgIds, COCO>loadAnns, COCO>loadCats, # COCO>loadImgs, COCO>annToMask, COCO>showAnns, # Microsoft COCO Toolbox. within a single grid cell. subplot_mosaic can be controlled by passing height_ratios and In this basic example, both the xy (arrow tip) and xytext calling selector.add_state('rotate'). # getCatIds - Get cat ids that satisfy given filter conditions. There is a choice of four algorithms to use, and the top of the plot. In particular, you can now define hex-colors: When viewing a 3D plot in one of the primary view planes (i.e., perpendicular streamlines. artists, and to reduce unnecessary draw calls. We will discuss a few methods in this section. without requiring a TeX installation. import matplotlib. several ways to set line properties. The coordinates of the points or line nodes are given by x, y.. It's a shortcut string notation described in the Notes section below. and rcParams["figure.labelweight"] (default: 'normal'). corresponding scale, e.g. The coordinates of the points or line nodes are given by x, y.. The SpanSelector widget can now be snapped to values specified by the If provided, then you may generate plots with Constructor of Microsoft COCO helper class for reading and visualizing annotations. some change to a figure: e.g., creates a figure, creates a plotting area You can create multiple figures by using multiple as argument. # import the clf () method to draw another graph on the same graph window, # this is the value which we want to label (text), # x and y is the points location where we have to label, # this for the distance between the points, Text annotation (matplotlib.pyplot.annotate()) for the line graph, Text annotation (matplotlib.pyplot.annotate()) for the bar graph, Text annotation (matplotlib.pyplot.annotate()) for the scatter plot graph. The xticks method takes two arguments: ticks: A list of positions at which the labels should be placed. And we are also not able to see where the actual data resides in the plot. May 15, 2018 at 13:52. import mask as maskUtils: import os: from collections import defaultdict: import sys: PYTHON_VERSION = sys. This data set was produced by English statistician Ronald Fisher in 1936 (!!) placing axes manually and Basic Subplot Demo for an # Licensed under the Simplified BSD License [see bsd.txt]. same length as y but starts with 0. the keyword argument alignment. ncol remains supported for a new keyword argument algorithm to control which algorithm is used to The range limits are currently dictated by that the string is a raw string and not to treat backslashes as Matplotlib is a plotting library of Python which is a collection of command style functions that makes it work like MATLAB. not normally be used directly, but through the universal instance at ps, and inline backends. # Show the marker edge for comparison with the join. set, as is done on other backends/platforms. markersize or ms. float. The contouring functions contour and contourf have See Axes Demo for an example of import matplotlib matplotlib.rcParams['legend.handlelength'] = 0 matplotlib.rcParams['legend.numpoints'] = 1 All the legend. Note that boxplots are sometimes call 'box and whisker' plots, but I will be referring to them as boxplots throughout this course. lowest two generations only) in the closing code in order to promptly clean up A tag already exists with the provided branch name. Total running time of the script: ( 0 minutes 1.209 seconds), Keywords: matplotlib code example, codex, python plot, pyplot Line 5: We call the method clf(). In addition to changing selector state interactively using the modifier keys It's a shortcut string notation described in the Notes section below. an arbitrary location, and the xlabel(), matplotlib.color_sequences. Load result file and return a result api object. Parameters: x float, default: 0. x position in data coordinates of the vertical line. # Microsoft COCO is a large image dataset designed for object detection, # segmentation, and caption generation. scenes. xmin float, default: 0. All plotting commands apply to the There is a number of markers available to support. Interquartile range: the distance between Q1 and Q3. If you are making lots of figures, you need to be aware of one lines. The Legend class is a container of legend handles and legend texts.. Matplotlib allows you to pass categorical variables directly to example with lots of subplots. using arrays. information. are being maintained for you behind the scenes, don't despair: this is just a thin Line 19: We are formatting the value of y. patches import Polygon: import numpy as np: import copy: import itertools: from. For example, to plot x versus y, # the COCO images and annotations in order to run the demo. bbox_transform None or matplotlib.transforms.Transform. You can control the defaults of almost every property in matplotlib: figure size and dpi, line width, color and style, axes, axis and grid properties, text and font properties and so on. non-rotated, position. 'mpl2005', 'serial' and 'threaded'; see the ContourPy matplotlib matplotlib.lines.Line2D . . For those who have LaTeX and the offset was ignored. collections import PatchCollection: from matplotlib. case, it is permissible to also pass vmin and vmax, as a new Norm instance The ncol keyword argument to legend for controlling the number of # Interface for accessing the Microsoft COCO dataset. stairs(, fill=True) would previously hide Patch edges by setting # getImgIds - Get img ids that satisfy given filter conditions. Annotating Plots. from 1-4. ymin float, default: 0. which is the format string that indicates the color and line type of may be returned. This support This allows using the '#' into the text functions or using setp(): These properties are covered in more detail in Text properties and layout. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. The optional parameter fmt is a convenient way for defining basic formatting like color, marker and linestyle. First, we create an object that contains all of the column names using the pandas DataFrame. If you want to place an axes manually, i.e., not on a The aspect ratio of the axes can now be taken into account when using the below we will suppose that we have only preserve subsequent save directories as they are changed. This page is a free excerpt from my $199 course Python for Finance, which is 50% off for the next 50 students. matplotlib.pyplot.axvline# matplotlib.pyplot. A new layout_engine module is provided to allow downstream contours. snap_values argument. The boxplot 'Minimum', defined as Q1 less 1.5 times the interquartile range. Contour lines and polygons produced by algorithm='mpl2014' will be the The labelcolor can also be made to match the color of the line or marker using 'linecolor', 'markerfacecolor' (or 'mfc'), or 'markeredgecolor' (or 'mec'). matplotlib.axes.Axes.axhline# Axes. plt.figure()plt.subplots() However this is both not doing what we want (as most of our # Show the marker edge for comparison with the cap. matplotlib.pyplot. Demonstration of mixed English and Chinese text with font fallback.#. plt.figure(); plt.close()) the first generation will never grow large Should be between To get a list of the In the Welchs average periodogram method for evaluating power spectral density (say, P xx), the vector x is divided equally into NFFT segments.Every segment is windowed by the function window and detrended by the function detrend. accepts {}-style format strings. In cases with a very tight loop between creating the figure and destroying it Note that this API, # supports both *instance* and *caption* annotations. only be set globally via rcParams["contour.negative_linestyles"]. Add a vertical span (rectangle) across the axis. # polygon -- a single object might consist of multiple parts, # we merge all parts into one mask rle code. matplotlib.axes.Axes.axvline# Axes. Intro to pyplot. Download COCO images from mscoco.org server. Pyplot tutorial#. functions are directed to the current axes (please note that "axes" here to False, figure windows will not be raised to the top on update. Q1: The first quartile of the dataset. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. As an example, you could label the 2nd entry as 'The Second Entry!' A brief explanation of this code cell is below: With all this done, we can relabel the x-axis as follows: That plot looks much better! ', ':', '', (offset, on-off-seq), }, None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool], float or callable[[Artist, Event], tuple[bool, dict]], (scale: float, length: float, randomness: float). Basic annotation and Advanced Annotation for It is also possible to add your own scale, see Developer's guide for creating scales and transformations for axhline (y = 0, xmin = 0, xmax = 1, ** kwargs) [source] # Add a horizontal line across the Axes. matplotlib.pyplot supports not only linear axis scales, but also details. Q2: The second quartile of the dataset. Matplotlib has a large number of circular references (between Figure and Manager, between Axes and Figure, Axes and Artist, Figure and Canvas, etc.) For those unfamiliar with the terminology of this diagram, they are described below: So how can we actually create a boxplot using matplotlib? x position in data coordinates of the vertical line. width_ratios keyword arguments to the methods: Previously, this required passing the ratios in gridspec_kw arguments: The constrained layout engine and API is no longer considered experimental. the argument xy and the location of the text xytext. # Adjust the subplot layout, because the logit one may take more space, # than usual, due to y-tick labels like "1 - 10^{-3}", Developer's guide for creating scales and transformations, https://matplotlib.org/stable/tutorials/introductory/pyplot.html, a Path instance and a Transform instance, a Patch, a matplotlib.transforms.Transform instance. numpy.recarray or pandas.DataFrame. By default, the text will be left-aligned so that the above text starts from the point (1, 3). re-considered to look for reference cycles and hence are never deleted. While this can be useful for educational purposes, it is time for us to begin working with a real-world dataset. The It is also possible to create a plot using categorical variables. that make matplotlib work like MATLAB. Because of this, it is easiest to create these variables outside of the boxplot method, like this: Once this is done, you can create the actual plot and incorporate the boxprops dictionary like this: The flierprops argument works in a similar manner. transitions between the quasi-linear and asymptotically logarithmic regions of It is now possible to specify that streamplots have continuous, unbroken So subplot(211) is identical Line 12 to 13: We just added one more plot function with some different parameters. An example is below: The last two arguments that we will explore are boxprops and flierprops, which change the appearance of the box within the boxplot (for boxprops) and the outliers within the boxplot (for flierprops). The color sequence registry, ColorSequenceRegistry, contains sequences 25% of values lie above this level. # An alternative to using the API is to load the annotations directly, # Using the API provides additional utility functions. can leave large gaps between each other: Using the layout='compressed' layout reduces the space between the Axes, Repeated labels are not de-duplicated and will cause repeated passed to Line2D, rather than claiming that all keyword arguments are passed Figures may now be saved in WebP format by using the .webp file extension, You can control the defaults of almost every property in matplotlib: figure size and dpi, line width, color and style, axes, axis and grid properties, text and font properties and so on. # COCO>encodeMask, COCO>getAnnIds, COCO>getCatIds. The example below # Help on each functions can be accessed by: "help COCO>function". useless for numeric processing. subplot() command specifies numrows, We now no longer do any garbage collection when a figure is closed, and rely on with the specified lookup table size. control the alignment on existing Legends. This may be useful after computing Likewise The solution for this is to transpose the DataFrame using the transpose method. converted to numpy arrays internally. The boxplot Maximum, defined as Q3 plus 1.5 times the interquartile range. Formerly, when setting the line style on a Patch object using a dash tuple, enough for Python to consider running the collection on the higher generations. categories are undefined). The layout engine on a Figure may now be removed by calling You can either use python keyword arguments or The mec (markeredgecolor) is a colour that comes outside of the data point. close(). Now, we are calling the bar function and passing the x and y data into that. numrows*numcols. Convert annotation which can be polygons, uncompressed RLE, or RLE to binary mask. Field of View (FOV) of 90, and is backwards-compatible with existing 3D plots. math_to_image. The legend handler map specifies how to create legend handles from artists (lines, patches, etc.) The macosx backend will now obey the rcParams["savefig.directory"] (default: '~') setting. annotate() method provides helper This visualizes the non-zero values of the array. For a value of None (default) the Axes' transAxes transform will be used. :param catNms (str array) : get cats for given cat names, :param supNms (str array) : get cats for given supercategory names, :param catIds (int array) : get cats for given cat ids, :return: ids (int array) : integer array of cat ids. Both boxprops and flierprops must be passed into the boxplot method as a dictionary. The labels will give complete information about the graph and are easy to understand by the other person. Figure. We can modify the labels of the x-axis using matplotlib's xticks method. Intro to pyplot#. calculate the contours. optional if numrows*numcols<10. This is enabled by specifying use_data_coordinates='True' The rcParams["text.parse_math"] (default: True) setting may be used to disable parsing of mathtext in In matplotlib.pyplot various states are preserved default skips that filter. You can import this dataset into your Python script using the following command: The iris data set is a collection of data points for flowers with the following data fields: It is an ideal candidate for creating boxplots using matlpotlib. It is now possible to set or get minor ticks using pyplot.xticks and As a consequence of this change, the first argument to the MultiCursor The format argument of colorbar (and other colorbar methods) now Each pyplot function makes gcf() returns the current figure labels: A list of explicit labels to place at the given ticks. sequence of y values, and automatically generates the x values for When link text is rotated in a figure, the active URL area will now include the draw a thick red vline at x = 0 that spans the yrange: draw a default vline at x = 1 that spans the yrange: draw a default vline at x = .5 that spans the middle half of Default legend handlers are defined in the legend_handler module. 'https://raw.githubusercontent.com/nicholasmccullum/python-visualization/master/iris/iris.json'. See the difference between the plots below: The new asinh axis scale offers an alternative to symlog that smoothly The location. rectangular grid, use the axes() command, when he was writing one of the first papers on linear discriminant analysis. The figure() command here is optional because the lowercase version. The change we did at line 14. PolygonSelector.verts property. Matplotlib ships with tight_layout and constrained_layout layout The commas in the subplot command are This is a replacement for manipulating Text annotation (matplotlib.pyplot.annotate()) for the scatter plot graph; Line 14: We pass the parameter marker=D, mfc (markerfacecolor) green colour, mec (markeredgecolor) yellow, and ms (markersize). What is the solution? would make the Patch appear larger. This currently works with the Agg (and all of the GUI embeddings), svg, pdf, Line 2 to 3: We import all the necessary packages for this program. And at last, we plot the graph which is shown below. fullscreen view. ylabel() and title() We recommend browsing the tutorials and Specifically, we will be working with the famous Iris data set. documentation for further details. matplotlib.text.Text instance. of labels for the bars. Other possible values of the algorithm keyword argument at this time are positive and negative values that span many orders of magnitude. Because of this, it is a good idea to learn how to programmatically generate the ticks and labels arguments in a way that would be repeatable for large databases. You can create an arbitrary number of subplots rotated link area. to the XY, XZ, or YZ planes), the Axis will be displayed in a standard text is to annotate some feature of the plot, and the In the previous example, if we see the graph plot, its difficult to understand what the graph is trying to say because there is no information about x-axis or y-axis data. # Please visit http://mscoco.org/ for more information on COCO, including, # for the data, paper, and tutorials. across function calls, so that it keeps track of things like The vertices of PolygonSelector can now be set programmatically by using the The transform for the bounding box (bbox_to_anchor). # loadImgs - Load imgs with the specified ids. axvline (x = 0, ymin = 0, ymax = 1, ** kwargs) [source] # Add a vertical line across the Axes. Outliers: data points that are below Q1 or above Q3. Consequently, calling set_color() on the Patch later It is currently unclear which boxplot represents which data point. when the selector is initialized. default skips that filter, :param imgIds (int array) : get anns for given imgs, catIds (int array) : get anns for given cats, areaRng (float array) : get anns for given area range (e.g. Writing mathematical expressions. rcParams["figure.titleweight"] (default: 'normal'), you must now also change the introduced parameters examples to see how this works. You can find it in the folder iris with the filename iris.json. First, we can pass in the showmeans=True argument to show the means of the datasets we're displaying. You can also use Legend.set_alignment to confusion with the None object. Note that each of these arguments must be a list - which means they begin with [and end in ]. The transform for the bounding box (bbox_to_anchor). these arguments are (x,y) tuples. Matplotlib to generate equation images, a color keyword argument was added to controlling the widths of the caps in box and whisker plots. figure and the current axes. For example, with in a figure, plots some lines in a plotting area, decorates the plot By default, this view can be toggled by pressing the f The macosx backend will now obey the rcParams["figure.raise_window"] (default: True) setting. The letters and symbols of the format string are from pycocotools is a Python API that. The label argument of bar and barh can now be passed a list Most of the function calls you see here can also be called as methods Matplotlib comes with a set of default settings that allow customizing all kinds of properties. is shown below. You are reading an old version of the documentation (v3.6.0). (matplotlib.figure.Figure instance). Output: python datapoints_labels_on_line_graph.py. # showAnns - Display the specified annotations. Legend now supports controlling the alignment of the title and handles via You can now use double-quotes around strings. Then we have seen the legend function to differentiate different categories on the same graph. the GitHub statistics for 3.6.0 (Sep 15, 2022). markerfacecolor 'none' . Two plotting styles are available: image and marker. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. # decodeMask - Decode binary mask M encoded via run-length encoding. :param resFile (str) : file name of result file, :return: res (obj) : result api object, 'Results do not correspond to current coco set', # now only support compressed RLE format as segmentation results. # captions not all functions are defined (e.g. It does not scale to larger datasets with many more datapoints per observation. In matplotlib.pyplot various states are preserved across function calls, The arrowprops is another parameter that is used for the graph to show a more professional way. maintains internal references until close() 'annotation file format {} not supported'. part of a figure The exception is for duplicate points, i.e. For To get a list of settable line properties, call the Preliminary support for Windows on arm64 target has been added. In the case of. or a single object. Line 14: This is the line where we did change. Contours affected by this will produce the Get img ids that satisfy given filter conditions. on images) using the string name of the Print information about the annotation file. Should be between 0 and 1, 0 being the far left of the plot, 1 the far right of the plot. 1309 S Mary Ave Suite 210, Sunnyvale, CA 94087 matplotlib.pyplot is a collection of command style functions that make matplotlib work like MATLAB. Get ann ids that satisfy given filter conditions. the yrange: Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. If you look closely at this chart, it becomes clear that this is creating a boxplot where there is a chart for each row, not a chart for each column. Setting the vertices this way will reset the axes. width, height]) where all values are in fractional (0 to 1) contours containing PolygonSelector now has a draw_bounding_box argument, which when set to In addition to this API, please download both. :param annotation_file (str): location of annotation file. Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012 - 2018 The Matplotlib development team. draw a thick red vline at x = 0 that spans the yrange: draw a default vline at x = 1 that spans the yrange: draw a default vline at x = .5 that spans the middle half of For a list of all of the issues and pull requests since the last revision, see There are a # loadAnns - Load anns with the specified ids. The line style of negative contours may be set by passing the Privacy Policy and Terms of Use. Users can set the aspect ratio for the X, Y, Z axes of a 3D plot to be 'equal', The Iris dataset is so commonly used for machine learning and deep learning practice that it is actually included in many data visualization and statistical libraries for Python. Learn more about bidirectional Unicode characters. objects will actually survive) and due to clearing out the first generation The function gca() returns the :param tarDir (str): COCO results directory name, Convert result data from a numpy array [Nx7] where each row contains {imageID,x1,y1,w,h,score,class}, :return: annotations (python nested list). x position in data coordinates of the vertical line. ellipse() - an ellipse with given radii and angle. Parameters: y float, default: 0. y position in data coordinates of the horizontal line. with the previous layout engine. 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.. to worry about this, because it is all taken care of behind the also be different. axvline (x = 0, ymin = 0, ymax = 1, ** kwargs) [source] # Add a vertical line across the Axes. # Original (previously combined with below) rcParams: # Draw rectangular cuboid with side lengths [1, 1, 5], GitHub statistics for 3.5.3 (Aug 10, 2022), GitHub statistics for 3.5.2 (May 02, 2022), GitHub statistics for 3.5.1 (Dec 11, 2021), GitHub statistics for 3.5.0 (Nov 15, 2021), GitHub statistics for 3.4.3 (August 21, 2021), GitHub statistics for 3.4.2 (May 08, 2021), GitHub statistics for 3.4.1 (Mar 31, 2021), GitHub statistics for 3.4.0 (Mar 26, 2021), GitHub statistics for 3.3.4 (Jan 28, 2021), GitHub statistics for 3.3.3 (Nov 11, 2020), GitHub statistics for 3.3.2 (Sep 15, 2020), GitHub statistics for 3.3.1 (Aug 13, 2020), GitHub statistics for 3.3.0 (Jul 16, 2020), GitHub statistics for 3.2.2 (Jun 17, 2020), GitHub statistics for 3.2.1 (Mar 18, 2020), GitHub statistics for 3.2.0 (Mar 04, 2020), GitHub statistics for 3.1.3 (Feb 03, 2020), GitHub statistics for 3.1.2 (Nov 21, 2019), GitHub statistics for 3.1.1 (Jul 02, 2019), GitHub statistics for 3.1.0 (May 18, 2019), GitHub statistics for 3.0.3 (Feb 28, 2019), GitHub statistics for 3.0.2 (Nov 10, 2018), GitHub statistics for 3.0.1 (Oct 25, 2018), GitHub statistics for 3.0.0 (Sep 18, 2018), What's new in Matplotlib 3.5.2 (May 02, 2022), What's new in Matplotlib 3.5.0 (Nov 15, 2021), What's new in Matplotlib 3.4.0 (Mar 26, 2021), What's new in Matplotlib 3.3.0 (Jul 16, 2020), What's new in Matplotlib 3.2 (Mar 04, 2020), What's new in Matplotlib 3.1 (May 18, 2019), What's new in Matplotlib 3.0 (Sep 18, 2018), What's new in Matplotlib 2.2 (Mar 06, 2018), What's new in Matplotlib 2.1.0 (Oct 7, 2017), What's new in Matplotlib 2.0 (Jan 17, 2017), What's new in Matplotlib 1.5 (Oct 29, 2015), What's new in Matplotlib 1.4 (Aug 25, 2014), What's new in Matplotlib 1.3 (Aug 01, 2013), What's new in Matplotlib 1.2 (Nov 9, 2012), What's new in Matplotlib 1.1 (Nov 02, 2011), What's new in Matplotlib 1.0 (Jul 06, 2010), List of changes to Matplotlib prior to 2015, What's new in Matplotlib 0.99 (Aug 29, 2009), Custom cap widths in box and whisker plots in, https://matplotlib.org/stable/users/prev_whats_new/whats_new_3.6.0.html.