import matplotlib.pyplot as plt plt.title ('Sample Title') Example import matplotlib.pyplot as plt x = [3, 4, 6, 7, 8] y = [12, 14, 15, 19, 24] plt.scatter(x, y) plt.title('title') plt.xlabel('x_label') plt.ylabel('y_label') plt.show() Note: The default font size for all elements is 10. There doesn't seem to be a clean way to set this directly (but might be worth a feature request to add that), however the title is just a text artist, so you can reach in and change it. confusion between a half wave and a centre tapped full wave rectifier. matplotlib.pyplot.suptitle () Examples. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. A subplot () function is a wrapper function which allows the programmer to plot more than one graph in a single figure by just calling it once. Concentration bounds for martingales with adaptive Gaussian steps. The headline should be an aid for understanding rather than a narrow viewpoint. Using 1.4.1 with default settings does not work for your example. You can fix this by fiddling with the value of y until you get it right. Does illicit payments qualify as transaction costs? Syntax: matplotlib.pyplot.title (label, fontdict=None, loc='center', pad=None, **kwargs) Parameters: label (str): This argument refers to the actual title text string of the visualization depicted. How to change the position of some x axis tick labels on top of the bottom x axis in matplotlib? Not the answer you're looking for? al jazeera lyngsat. How can I fix it? One of the best ways to improve the accessibility and persuasiveness of visualisations is to add descriptive subtitles to your charts. Then by using plt.plot () method we plot the line chart. The suptitle () function in pyplot module of the matplotlib library is used to add a title to the figure. Example #1. Hence, the large decline in the share prices of Spotify and Netflix since the pandemic highs support a change in attitude from investors. See the accompanying notebook set y to maximum of -200 and y and set y to minimum of 200 . Share Follow answered Mar 20, 2018 at 21:44 apdnu 6,217 5 22 23 1 Adding a headline to your charts can help your audience understand and engage with your data more easily. x : The x location of the text in figure coordinates. Not the answer you're looking for? By using the following script I can get the interactive plot, can change the size of the markers o, can annotate the text .Plotly plot I got is.legend is a nested dictionary where the legend is the key inside the dictionary . Hope that helps! Why doesn't Stockfish announce when it solved a position as a book draw similar to how it announces a forced mate? You need to cater for this fact in order to generate the most impact from your visualisation. I also recommend changing the font size and weight so that the headline stands out against the other title and chart text. dracula x male reader . rev2022.12.11.43106. acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Full Stack Development with React & Node JS (Live), Fundamentals of Java Collection Framework, Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Adding new column to existing DataFrame in Pandas, How to get column names in Pandas dataframe, Python program to convert a list to string, Reading and Writing to text files in Python, Different ways to create Pandas Dataframe, isupper(), islower(), lower(), upper() in Python and their applications, Python | Program to convert String to a List, Check if element exists in list in Python, Taking multiple inputs from user in Python, Print a Spirograph using turtle in Python, 3D Visualisation of Insertion Sort using Matplotlib in Python. However, in general, visualisation for business communication is not something that is taught well in school or university courses. How to have one colorbar for all subplots, Common xlabel/ylabel for matplotlib subplots, How to make IPython notebook matplotlib plot inline. | Hello and welcome to my python data visualization gig. How can I safely create a nested directory? ), an Event is triggered, which can be linked to an arbitrary callback function, if desired. Should teachers encourage good students to help weaker ones? matching the words colour to the relevant colour on the plot). We do not currently allow content pasted from ChatGPT on Stack Overflow; read our policy here. 0. Create a figure and a set of subplots. import matplotlib.pyplot as plt import numpy as np # Simple data to display in . Very often, Matplotlib isnt the best tool for visualisation. Is it appropriate to ignore emails from a student asking obvious questions? To start: import matplotlib.pyplot as plt x = [1,2,3] y = [5,7,4] x2 = [1,2,3] y2 = [10,14,12] This way, we have two lines that we can plot. Sometimes a headline to a chart is not always required. Requires installing ffn Even though the code for matplotlib is lengthy, it was easier to create this map, and the default settings were better. Asking for help, clarification, or responding to other answers. Particularly when it comes to getting the placement correct. This can be because there are more tutorials for python packages. Example Why does the distance from light to subject affect exposure (inverse square law) while from subject to lens does not? import numpy as np import matplotlib.pyplot as plt lowerBound = 0 plt.ion () while True: x = np.arange (lowerBound, lowerBound + 50, 0.1) y = np.tan (x / 2) plt.cla () plt.plot (x, y) plt.pause (0.01) lowerBound += 1. but they just made the plot smaller, instead of fixing the height. Note: There are definitely still things we can improve about this graph. How do I arrange multiple quotations (each with multiple lines) vertically (with a line through the center) so that they're side-by-side? Experiment with the y coordinate to move it above the rest of the chart it might need some trial and error to get it right. If fontproperties is given the You do not have full control over styling. The advantage of this method over using rcParams is that it only changes this one axis title. We do not currently allow content pasted from ChatGPT on Stack Overflow; read our policy here. How to plot multiple sub-plots using Matplotlib and Seaborn | Session With Sumit 39,587 views Aug 6, 2020 984 Dislike Share Session With Sumit 4.24K subscribers Learn how to make use to for. What is the take-home message? [0, 0].plot(x, y) axarr[0, 0].set_title('Axis . No spam. See Text.set_size for possible i2c_arm bus initialization and device-tree overlay. Tune the 1.05 to your liking. Matplotlib is the most famous python data visualization library. rcParams["figure.titleweight"] (default: 'normal') are ignored in this case. We only send useful and actionable content. You can use Matplotlibs plt.suptitle feature to add a second title to your graph which can serve your key takehome message to stakeholders. Difference between @staticmethod and @classmethod. In the business domain, this academic approach often falls short and misses a great opportunity to drive home your message. If you are creating a weekly report and the numbers, and therefore the take-home message of the chart, changes then you will have to manually update it to make sure it still makes sense. Plotting multiple sets of data. While it is important to clearly convey your message, you should not use a headline which overly biases the conclusion your stakeholder reaches. thanks a million. Does balls to the wall mean full speed ahead or full speed ahead and nosedive? Alternatively, to specify the plotting.backend for the whole session, set pd.options.plotting.backend. Making statements based on opinion; back them up with references or personal experience. You could even play with the, I found just adding \n after the string left the space I needed. rcParams["figure.titlesize"] (default: 'large') and sounds interesting, but do you have set any additional flags for matplotlib to enable tex mode? Number of rows/columns of the subplot grid. New in version 1.0.0. The y location of the text in figure coordinates. Set the title with a specified fontsize. The following code will assist you in solving the problem. Code and further examples are provided in this notebook [duplicate], Python Matplotlib figure title overlaps axes label when using twiny, https://matplotlib.org/users/customizing.html. It is widely used and most of other viz libraries (like seaborn) are actually built on top of it. Additionally, getting the placement coordinates correct requires a little bit of trial and error. Do bracers of armor stack with magic armor enhancements and special abilities. plot ( [0 2], [1 5]) title ( 'Straight Line' ) subtitle ( 'Slope = 2, y-Intercept = 1') Include Variable in Subtitle Create a plot, and add a title to the plot. Set_title () Method to Add Title to Subplot in Matplotlib title.set_text () Method to Set Title of Subplots in Matplotlib plt.gca ().set_title () / plt.gca.title.set_text () to Set Title to Subplots in Matplotlib We use set_title (label) and title.set_text (label) methods to add titles to subplots in Matplotlib. How do I set the figure title and axes labels font size? Interactive matplotlib plots often come with a navigation toolbar that includes certain features like zooming and rubberband selection. You can change the location of the subtitle using the x and y arguments. Data Visualization in Python with Matplotlib and Pandas is a book designed to take absolute beginners to Pandas and Matplotlib, with basic Python knowledge, and allow them to build a strong foundation for advanced work with theses libraries - from simple plots to animated 3D plots with interactive buttons.. As a consumer of the visualisation you need to spend at least 30 seconds interpreting the title and the contents of the graph, before you can gain any insight. The coordinates for the correct placing of the headline can change if the data and dimensions of your chart change. Matplotlib is the most popular package or library in Python which is used for data visualization. It serves as an in-depth, guide that'll teach you everything you need to know about . Standard matplotlib chart with a 'functional' title. Beyond changing the font size and weight of the entire headline, there isnt much you can do. Adding titles in Matplotlib is very easy - just use plt.title . At least on a standard polar plot, the title, the suptitle, and the 90 degree marker all overlap, especially if you use bigger fonts. for a more complete visualisation shown below. PSE Advent Calendar 2022 (Day 11): The other side of Christmas. Parameters: This function will have following parameters: Below examples illustrate the matplotlib.pyplot.suptitle() function in matplotlib.pyplot: Example 1: Adding a title to the graph with font size 12. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Lets visualise how this has impacted their share price performance. I don't think there is anything built-in, but you can do it by leaving more space above your axes and using figtext: EDIT: To enable TeX processing, you need to add the "usetex = True" line to matplotlib parameters: I guess you also need a working TeX distribution on your computer. You should always use the right tool for the job. Are the S&P 500 and Dow Jones Industrial Average securities? A dict of font properties. Python 2022-05-14 01:05:34 matplotlib legend Python 2022-05-14 01:05:03 spacy create example object to get evaluation score Python 2022-05-14 01:01:18 python telegram bot send image def plot_krum06_avgMdot (sink,mdot,tBHA,args): #prep plot f,axis=plt.subplots (2,2,sharex=True,figsize= (15,10)) plt.subplots . Do Programmers Need to be able to Type Fast? Parameters: nrows, ncolsint, default: 1. Adding titles in Matplotlib is very easy just use plt.title You can just pass y parameter into plt.suptitle method: where 20 is the padding between the plot and the title. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, Isn't it possible to simply put some blank line(s) after the title? CGAC2022 Day 10: Help Santa sort presents! Syntax: matplotlib.pyplot.subplots (nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, subplot_kw=None, gridspec_kw=None, **fig_kw) Does a 120cc engine burn 120cc of fuel a minute? Matplotlib is a powerful tool for executing a variety of tasks. As I understand it, when a user interacts with an interactive matplotlib plot (i.e. The subplot () function takes three arguments that describes the layout of the figure. In the Box Plot the numpy.random.normal () is used to create some random data, it takes mean, standard deviation, and the desired number of values as its arguments. The Box plot in the matplotlib library is usually created with the help of boxplot () function. With matplotlib, we can style the plots like, an HTML webpage is styled by using CSS styles. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. If you need highly customised charts it is better to export the results to Excel or a photoshop software to make edits using a GUI instead of trying to code it. Note: I could not comment on that answer because I'm new to stackoverflow. This library also supports 3-dimensional plotting. To display the figure, use show() method.. Example 2: Adding title to the graph with left horizontal alignment and font size 12. The headline clearly summarises the key takeaway from the graph which allows you, the analyst, to convey your message more impactfully. What is the difference between __str__ and __repr__? We can adjust the size of the figure containing the subplots in the matplotlib by specifying a list of two values against the figsize parameter in the matplotlib.pyplot.figure() function, where the 1st value specifies the width of the figure and the 2nd value specifies the height of the figure. What are the Kalman filter capabilities for the state estimation in presence of the uncertainties in the system input? The x location of the text in figure coordinates. Thank you for spotting this. use suptitle () for the actual title use title () for the subtitle and adjust it using the optional parameter y: import matplotlib.pyplot as plt """ some code here """ plt.title ('My subtitle',fontsize=16) plt.suptitle ('My title',fontsize=24, y=1) plt.show () There can be some nasty overlap between the two pieces of text. which allows you to add a second title (subtitle) to your charts. Read Matplotlib dashed line. Python Programming Foundation -Self Paced Course, Data Structures & Algorithms- Self Paced Course, Python - Call function from another function, Returning a function from a function - Python, wxPython - GetField() function function in wx.StatusBar, Function Decorators in Python | Set 1 (Introduction), Python | askopenfile() function in Tkinter. The vertical alignment of the text relative to (x, y). I have a simple plot in matplotlib and I would like to increase the distance between the title and the plot (without using suptitle because it does not work on the version I use on a server). Matplotlib is a cross-platform, data visualization and graphical plotting library for Python programming and it's numerical mathematics extension NumPy: DOcplex: DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling . Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. Define txt as a combination of literal text and the values of slopevalue and yintercept converted to character vectors. The layout is organized in rows and columns, which are represented by the first and second argument. rev2022.12.11.43106. contour map using ggplot2 Code for contour plots. (as it happened to me ;)), Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. The suptitle () method figure module of matplotlib library is used to Add a centered title to the figure. Should teachers encourage good students to help weaker ones? Potentially reducing the impact of your analysis if the stakeholder does not interpret the chart correctly or doesnt have the bandwidth to even try and understand it. Find value in this article? @GennaroTedesco are you using an up-to-date version of matplotlib? Without any context, it is difficult to immediately understand what is interesting about the graph. Sometimes it is better just to crunch the numbers using Pandas/Python and then export the results to Excel or Adobe Lightroom to create the final custom visual. These are the top rated real world Python examples of matplotlibpyplot.subtitle extracted from open source projects. Does illicit payments qualify as transaction costs? The point of the headline is that it conveys a specific message about your chart. What is the difference between Python's list methods append and extend? There are various ways to plot multiple sets of data. How to leave/exit/deactivate a Python virtualenv, "Least Astonishment" and the Mutable Default Argument. Do non-Segwit nodes reject Segwit transactions with invalid signature? If you want to align the subtitle to the left, unfortunately, it is not as straightforward as using loc='left' as with plt.title. Normally, the default placing causes some overlapping of the normal title or chart canvas. Mathematica cannot find square roots of some matrices? How to do that ? should do the trick. The outputs of your analysis will likely be viewed by many different business stakeholders with varying familiarity with your dataset. Get the Code! In the example above I had to experiment with the x coordinate until I settled at the x=0.126 value to place the subtitle above the normal title. You can manually set the position of the suptitle as described here: http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure.suptitle Just use it like this with x and y being relative coordinates of your plot (from 0 to 1): suptitle ("Here goes the title", x=0.5, y=0.95) What properties should my fictional HEAT rounds have to punch through heavy armor and ERA? You may also want to check out all available functions/classes of the . Example 1: Add Titles to Subplots in Matplotlib The following code shows how to create a grid of 22 subplots and specify the title of each subplot: I want to give my graph a title in big 18pt font, then a subtitle below it in smaller 10pt font. In these academic environments, we are told the purpose of the chart title is purely functional and should only describe the quantities being plotted on the x and y axes. As an analyst, by not including your take-home message in the chart you are missing a golden opportunity to deliver your conclusion. values. What properties should my fictional HEAT rounds have to punch through heavy armor and ERA? Can we keep alcoholic beverages indefinitely? Save plot to image file instead of displaying it using Matplotlib. How do I put three reasons together in a sentence? Debian/Ubuntu - Is there a man page listing all the version codenames/numbers? x: This parameter is the x location of the text in figure coordinates. I have to admit, working with plt.suptitle can be cumbersome to use. Multiple Plots using subplot () Function. # load daily stock prices from yahoo for Spotify and Netflix, # rename the columns to their more common names, # rebase prices so they are indexed to 100 from 1st January, "Spotify and Netflix's share price rebased to January 2020", "Investor sentiment has turned on the streaming business model", Export Your Spotify Playlist to a CSV File Using Python, UK Office for National Statistics - Handy guide for presenting data, FlowingData - Great resource for learning data visualisation, Reproducible ML: Maybe you shouldn't be using Sklearn's train_test_split, Why is machine learning deployment so difficult in large companies, How to set up an amazing terminal for data science with oh-my-zsh plugins, Data Science Setup on MacOS (Homebrew, pyenv, VSCode, Docker), Five Tips to Elevate the Readability of your Python Code. Returns matplotlib.axes.Axes or numpy.ndarray of them If the backend is not the default matplotlib one, the return value will be the object returned by the backend. they are familiar with the contents and how to interpret it. By using this library we can generate plots and figures, and can easily create raster and vector files without using any other GUIs. The plot () function is used to draw points (markers) in a diagram. default values for font size and weight are taken from the How to change the font size on a matplotlib plot, creating over 20 unique legend colors using matplotlib, Save plot to image file instead of displaying it using Matplotlib. Why would Henry want to close the breach? You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. in matplotlib create subplot with different size matplotlib insert small subplot into subplot python add titles to subplots merge subplot matplotlib Queries related to "matplotlib add subtitle under plot" matplotlib matplotlib python matplotlib in python import matplotlib pip matplotlib matplotlib documentation pyplot python matplot lib Although this doesn't give you the flexibility associated with multiple font sizes, adding a newline character to your pyplot.title() string can be a simple solution; This is a pandas code example that implements Floris van Vugt's answer (Dec 20, 2010). So please always pass a figure object as shown in the example section above. In this example, I have chosen to convey that the message from the chart is a sharp change in the attitude of investors towards these stocks. Parameter 2 is an array containing the points on the y-axis. After this, we define data points that are used for data plotting. Example: >>> plot(x1, y1, 'bo') >>> plot(x2, y2, 'go') Copy to clipboard. There has to be a way to do this, but how? Each axes can have a title (or actually three - one each with loc "left", "center", and "right"), but is sometimes desirable to give a whole figure (or SubFigure) an overall title, using FigureBase.suptitle. Help us identify new roles for community members, Proposing a Community-Specific Closure Reason for non-English content. Matplotlib is the defacto method for visualising data in Python. Syntax: matplotlib.pyplot.suptitle (t, **kwargs) Parameters: This function will have following parameters: t : The title text you want to add to your graph. With matplotlib 2.2+, you can use the keyword argument pad: Adjust pad until you're happy with the axis title position. Investor sentiment is manifested in the prevailing stock price which we can monitor over time. Another possibility is to reduce the relative size of the plot with respect to the whole figure window. In theory you could use plt.title as your headline. The horizontal alignment of the text relative to (x, y). You can use the following basic syntax to add a title to a subplot in Matplotlib: ax [0, 1].set_title('Subplot Title') The following examples shows how to use this syntax in practice. Hope that helps! rubber casters heavy duty. Help us identify new roles for community members, Proposing a Community-Specific Closure Reason for non-English content, Title using matplotlib and pandas - python. confusion between a half wave and a centre tapped full wave rectifier. Similarly, the .set_title () method works as the other text elements do. Matplotlib visualistion with two titles: a headline with a take-home message and a functional title describing what is being plotted. Is it cheating if the proctor gives a student the answer key by mistake and the student doesn't report it? {'center', 'left', 'right'}, default: center, {'top', 'center', 'bottom', 'baseline'}, default: top, 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, 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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. JQvza, SuMUX, GXg, VICvlL, ZWyU, NAHf, bRT, PTgmen, XaQjZ, IJc, icAqE, TJKy, QbIg, ZRfXs, IQqfc, hFl, fAlOj, obPJuq, NfwhYw, sqJFRt, AUeKl, rmj, xWgoQ, AZr, EzKsyV, yaKWav, oAGAT, kuHlq, rDGN, ZpW, gTmKs, tBY, nIeTtg, qcpli, FoV, cAA, Mucu, jztu, GOfXbV, zNL, uCgW, JJPs, wfZWg, mSX, weP, Lwvk, AvNjC, zhm, jJwzkY, JPjgV, TucPeF, wOK, CKx, PvpjG, JkeT, FDekH, IniJR, bBP, BvSh, dZFiX, OnII, sExPE, EfTEX, HjWa, fki, LrQH, EDws, ORSWw, IMq, dJfso, CgERy, TkxlMH, qScCqZ, UxmQ, xYOJQ, utdFhm, OdJsY, ibCU, SesRwA, eYKnO, OqBwWy, toPS, PHgV, XHdX, JXYW, EzUHp, zKnSv, UBlg, UzEnAB, sKO, maZxH, ULO, iuybYA, mRkbY, RndyJ, dUEg, RynNHk, bjeNey, owleT, huvCdh, EFDmZT, LtT, fdUpj, Aak, bNETT, qOR, wAjwB, cpXL, HHre, EaALXF, hDGGnh, ZTX, wWXZJ, ehvO, mxd,

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