3. def adjustFigAspect(fig,aspect=1): 4. The most common way to This is the basic code using Jupyter Notebook: fig, ax = plt.subplots() ax.boxplot(dataLipid) ax.set_title("Lipid contact analysis") plt.xticks([1,2,3,4,5],["x4 Monomers","x2 Monomers\nDimer","x2 Dimers . (Scaled, Equal, tight, auto, image, square). For example, the following will produce a 4"x2" figure but the axes within it will have a 1:1 aspect ratio: fig, ax = plt.subplots(figsize=(4,2)) ax.set_aspect('equal') The method set_aspect can also take a height:width number instead. Learn more about us. jpg). To change the aspect ratio, we have used the NumPy function ptp. This means peak to peak value range from minimum to maximum. In my case, the following setting works best: Thanks for contributing an answer to Stack Overflow! In the end, we can see the difference between the 2 graphs. I'm trying to make a square plot (using imshow), i.e. If equal is used in that case the same scaling from data to plot takes place. Set the position in case of extra space. Introduction to Statistics is our premier online video course that teaches you all of the topics covered in introductory statistics. It was therefore removed. One key thing to pay attention to is that even after all the changes we have made, the plots main content remains unchanged. x = np.arange(1,5,0.2) y = np.sin(7*x) #Setting the Dimentions of the Graph. . Then display it using the imshow function. To change the aspect ratio, we need to add one comment in the program, as shown below. This example will clear the idea of the aspect ratio of the plotted graph. Under the hood, the set_aspect() function actually modifies something known as the, How to Adjust Line Thickness in Matplotlib. What are the best buff spells for a 10th level party to use on a fighter for a 1v1 arena vs a dragon? How to control the width and height prportion in matplotlib? matplotlib.org/examples/pylab_examples/equal_aspect_ratio.html, jdhao.github.io/2017/06/03/change-aspect-ratio-in-mpl, matplotlib.org/tutorials/advanced/transforms_tutorial.html, https://stackoverflow.com/a/16290035/2966723, Stop requiring only one assertion per unit test: Multiple assertions are fine, Going from engineer to entrepreneur takes more than just good code (Ep. import matplotlib.pyplot as plt import numpy as np # Plot circle of radius 3. an = np. '''. To get this, we need to make the following change, In this article, we covered the Matplotlib aspect ratio. Traditional English pronunciation of "dives"? details. Create a surface plot using R, Y and z. Expected outcome. Even the figure size is the same! I've used additional information from https://stackoverflow.com/a/16290035/2966723 to test if the axes are log-scale. This parameter changes axis limits to equalize both the scaling. Here's an example of a routine that will adjust the subplot parameters so that you get the desired aspect ratio: import matplotlib.pyplot as plt. In our case, what we really want to set is the aspect ratio in the display coordinate system, i.e., the physical length of axes height divided by its width. Simple and to the point. With full credit of course to the author above (who can perhaps rather post here), the relevant lines are: The link also has a crystal clear explanation of the different coordinate systems used by matplotlib. As we are aware of the fact that Matplotlibis theplotting libraryof Python. In constrain the aspect ratio, there are six major types of parameters. Lets attempt to set the aspect ratio to 1, i.e. When the migration is complete, you will access your Teams at stackoverflowteams.com, and they will no longer appear in the left sidebar on stackoverflow.com. Here the all the axis has equal starting and ending points. Find centralized, trusted content and collaborate around the technologies you use most. To learn more, see our tips on writing great answers. The aim is to achieve a precise and ideal ratio by traversing the values of X and Y. We can set the aspect ratio using matplotlib.axes.Axes.set_aspect () function. for aspect=2 a square in data coordinates Field complete with respect to inequivalent absolute values, Replace first 7 lines of one file with content of another file. First, lets create a simple line chart using Matplotlib: Notice that the x-axis is longer than the y-axis. > If arg is an array, figaspect will determine the width and height for a figure that would fit array preserving aspect ratio. If wed like the y-axis to be longer than the x-axis, we can simply specify the aspect ratio to be some number greater than 1: And if wed like the y-axis to be shorter than the x-axis, we can simply specify the aspect ratio to be some number less than 1: You can find more Matplotlib tutorials here. For instance, a 1:1 ratio gives us a square. None of these work: It seems like the calls are just being ignored (a problem I often seem to have with matplotlib). How can I safely create a nested directory? How can the electric and magnetic fields be non-zero in the absence of sources? As we are done with all the theory portion related to Matplotlib aspect ratio. It works for me. aspect{'auto', 'equal'} or float Possible values: 'auto': fill the position rectangle with data. Third times the charm. same scaling for x and y. float: The displayed size of 1 unit in y-data coordinates will Now the next goal is to change the above graphs aspect ratio. Your email address will not be published. This parameter auto-scales both the axes. you should try with figaspect. To do so, we will look at a couple of examples. ax.set_aspect('equal') produces wrong output for 3D axes. If the image is square, but the plot dx and dy are different, then that is not a 1:1 aspect ratio. Matplotlib is the data visualization source which also implies that data will be visualized in the desirable 2D Array plot. I have version 0.99.1.1 and I've created the following solution: Below are my unsuccessful, yet hopefully informative attempts. By default it is none. In the end, we can conclude that to change the aspect ratio of a plot. import numpy as np. you should try with figaspect. The aspect ratio of a matplotlib plot refers to the aspect of the axis scaling, i.e. Instead of the scale, we need to use it equally in our code to get this all. and one with 'auto' aspect ratio: The code provided below in the 'original answer' provides a starting off point for an explicitly controlled aspect ratio, but it seems to be ignored once an imshow is called. It will set the aspect ratio for linear or log-log plots. How to use ThreadPoolExecutor in Python with example, Count the no of Set Bits between L and R for only prime positions in Python, Find the no of Months between Two Dates in Python, How to change background color in Matplotlib with Python, Put legend outside the Matplotlib plot with Pandas in Python. As we are working on a graph we must focus on the division of both co-ordinates which is X and Y. Let's attempt to set the aspect ratio to 1, i.e. Consequences resulting from Yitang Zhang's latest claimed results on Landau-Siegel zeros. This parameter Scales both the axis equally. The figure width, height in inches are returned. "'. Best answer in my opinion. We will use the same time vs. voltage graph from all the conditions. The code below shows how this can be executed. PYTHON : How can I set the aspect ratio in matplotlib? For instance, a 1:1 ratio gives us a square. The pyplot API provides a simple way to set up a custom aspect ratio, as follows: import numpy as np import matplotlib.pyplot as plt X = np.linspace (-6, 6, 1024) Y1, Y2 = np.sinc (X), np.cos (X) plt.figure (figsize= (10.24, 2.56)) plt.plot (X, Y1, c='k', lw = 3.) def adjustFigAspect (fig,aspect=1): "'. Connect and share knowledge within a single location that is structured and easy to search. Matplotlib.axes.Axes.set_aspect () in Python. In total there is 4 coordinate system in . When we use aspect=1 it will give results similar to aspect=equal. This means you can draw a perfect circle in your plot box. It was therefore removed. Student's t-test on "high" magnitude numbers, A planet you can take off from, but never land back. In fact, there is 4 co-ordinate system in Matplotlib. Thanks for all great answers received - especially @Yann's which will remain the winner. For example, if the aspect ratio equals 1, then in the display coordinate, the same . Can you say that you reject the null at the 95% level? After which, we have used our aspect parameter. Making statements based on opinion; back them up with references or personal experience. This means that both the x and y axes have the same length. I have recently had to upgrade to 1.1.0, and with it, add_subplot(111,aspect='equal') works for me. This section will be looking at how this function works and what effect does it have on the output. Along with that, we look at its syntax, whatdifference does it make to the graph. The most known and huge advantage of the matplotlib is that it can also be used to digest large data and maintain to convert in various types of plots similarly a line graph, Histogram, Bar Graph, Scatter Diagram and many more. We looked at the syntax as well as different parameters associated with it. rev2022.11.7.43011. The following code shows how to use a simple calculation to set the correct aspect ratio: Notice that this plot has the aspect ratio we expected. This is the general syntax of our function. Get the current axes, creating one if necessary, with projection='3d'. Edit: I am not sure of what you are looking for. This was achieved in mpl 3.0.3 by calling. linspace . We can also use any of the parameters as discussed above. But the aspect ratio in the set_aspect () method refers to the aspect ratio in data coordinate system. Your email address will not be published. Produces an image plot with 'equal' aspect ratio: and one with 'auto' aspect ratio: The code provided below in the 'original answer' provides a starting off point for an explicitly controlled aspect ratio, but it seems to be ignored once an imshow is called. It also includes outliers. If a sphere is drawn with plot_surface then it should appear as a sphere and not an ellipse that depends on the window sizing. Michael Droettboom and the Matplotlib development team; 2012-2022 The Matplotlib development team. Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. 2. is extra space due to aspect constraints. It lets you explicitly set the aspect ratio for an axes object within a figure. The aspect ratio will be dy/dx in that case. Definitely the best, I'd put 1.0 as the argument though, since the question is general. stackoverflow: matplotlib imshow display ratio fix to square: stackoverflow: Imshow: extent and aspect: stackoverflow: change figure size and figure format in matplotlib: stackoverflow: Overview of AxesGrid toolkit: Matplotlib doc: Set Matplotlib colorbar size to match graph: stackoverflow The reason that the aspect looks unequal is because equal aspect means that visual distance in x will be the same as y. How do I set the figure title and axes labels font size? I think you want to use axes.set_aspect('auto'). In order to do so first, we need to code a simple plot. There are a couple of parameters associated with it, which we will cover in the next section. aspect ratio. How to change the font size on a matplotlib plot. How do I change the size of figures drawn with Matplotlib? How much does collaboration matter for theoretical research output in mathematics? 'auto': fill the position rectangle with data. This answer is great. The y-axis is much longer than the x-axis. Above, we have successfully created an image with the NumPy functions help. to specify the anchor are abbreviations of cardinal directions: If True, apply the settings to all shared Axes. preserving aspect ratio. To get this, we need to make a small change, as shown below. From the docs: Create a figure with specified aspect ratio. To make this conversion easy, we can use this bit of code: Lets walk through an example of using this function in practice. Done reading this, why not read about the tempfile next. Required fields are marked *. matplotlib.axes.Axes.set_anchor. document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); Statology is a site that makes learning statistics easy by explaining topics in simple and straightforward ways. The method set_aspect() is used to set the aspect ratio. Asking for help, clarification, or responding to other answers. This parameter Disables auto-scaling and sets the limit so that you can view all the points in your graphs. But first, let us try to generate a general overview of the function. [ Gift : Animated Search Engine : https://www.hows.tech/p/recommended.html ] PYTHON : How can I set t. Your email address will not be published. If not None, this defines which parameter will be adjusted to plt.plot (X, Y2, c='.75', lw = 3.) We also tried to enhance our understanding by looking at a couple of examples. Why does sending via a UdpClient cause subsequent receiving to fail? If you want to get wrong output, you can revert to an old version of matplotlib and continue using it. These parameters can be adjusted by using the plt axis() method. How to Display Images Using Matplotlib Imshow Function, 5 Ways to Check if the NumPy Array is Empty. How do I print colored text to the terminal? Feel free to incorporate that into your answer and then I'll remove mine. If we use "equal" as an aspect ratio in the function, we get a plot with the same scaling from data points to plot units for X-axis and Y-axis. Be sure to create an axes with equal with and height, eg. So for this particular case, the aspect ratio becomes the ratio of the Y-axis to the X-axis. the ratio of y-unit to x-unit. matplotlib: Set width or height of figure without changing aspect ratio, Create a 2x2 grid of python seaborn heatmaps with shared axes, How to do a matshow or imshow, but display the axis values as bin boundaries (i.e as you would on a 2d frequency/density plot), matplotlib imshow display ratio fix to square. Here's an example of a routine that will adjust the subplot parameters so that you get the desired aspect ratio: I can imagine if your having multiple subplots within the figure, you would want to include the number of y and x subplots as keyword parameters (defaulting to 1 each) to the routine provided. If arg is a number, use that aspect ratio. In the case of auto, it automatically fills the rectangle with data. Stack Overflow for Teams is moving to its own domain! But in case it is not equal to none it is responsible for deciding the parameter to be adjusted to be meet the new aspect. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. All the outlier data points will be scaled accordingly to show them. I think you want to use axes.set_aspect('auto'). But in case you have any unsolved queries feel free to write them below in the comment section. returned. Not let us go line by line and understand how it was done. how to verify the setting of linux ntp client? To get this, we need to make a small change, as shown below. #Setting the axes. We can use the function to .set _axes().. Your email address will not be published. My 'original answer' below is overkill, as it does something similar to axes.set_aspect(). The figure width, height in inches are Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. From the docs: Create a figure with specified aspect ratio. Obviously you can use any version of log you want, I've used scipy, but numpy or math should be fine. Using figure () method, create a new figure or activate an existing figure. As we are aware of the fact that Matplotlib is the plotting library of Python. Step 2: Set the Aspect Ratio (The Wrong Way) Notice that the x-axis is longer than the y-axis. y/x-scale. When we set size=None in the dictionary, plotly will choose a bin width bin width The actual Y-axis is divided by the actual X-axis and that refers to the method set_aspect() i.eIf the aspect ratio is equal to 1 then the X-axis and Y-axis are the same lengths. Adjust the subplot parameters so that the figure has the correct. A simple option using plt.gca() to get current axes and set aspect. Thanks for all great answers received - especially @Yann's which will remain the winner. Here above, we can see that we have successfully changed the plots aspect ratio. Now let us how we can differ the aspect ratio of this plot. The parameter of this method is a number which is a division of the X-axis with respect to the Y-axis. This parameter Scales so that your data limits equal to axis limits. I don't understand why this is the case, but it produces a square image plot for me, for example this script: import matplotlib.pyplot as plt import numpy as np data = np.random.rand(10,20) fig = plt.figure() ax = fig.add_subplot(111) ax.imshow(data) ax.set_aspect('equal') fig.savefig('equal.png . set_aspect ('equal'). We will be seeing each one of them in detail one by one. The above code changes the canvas (the plot size). Let us see what difference does it makes. Hello geeks and welcome in this article, we will cover the Matplotlib aspect ratio. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. The matplotlib is the library in the python for the visualization of plotting 2D array. be aspect times the displayed size of 1 unit in x-data import matplotlib.pyplot as plt ax = fig.add_subplot(111,aspect='equal') ax = fig.add_subplot(111,aspect=1.0) ax.set_aspect('equal') plt.axes().set_aspect('equal') It seems like the calls are just being ignored (a problem I often seem to have with matplotlib). MatPlotLib with Python. xsize,ysize = fig.get_size_inches () In matplotlib, we can also set the square aspect ratio. Required fields are marked *, By continuing to visit our website, you agree to the use of cookies as described in our Cookie Policy. Set how the Axes adjusts to achieve the required aspect ratio. Setting the aspect ratio in the program is essential to adjust the dimension of the graph without changing the contents. Did find rhyme with joined in the 18th century? 1. import matplotlib.pyplot as plt. We can stop the difference that it creates compared to the original plot. This parameter forces the plot to become square. The plot is a mixture of sin and tan functions. To set the aspect ratio of a 3D plot in matplotlib, we can take the following steps. Examples using matplotlib.axes.Axes.set_aspect # Bar chart with gradients. Original Image. Python produces an aspect ratio that is suitable for its content e.g., respects the structure of the font of each label, axis title, etc. My guess is that this is a bug and Zhenya's answer suggests it's fixed in the latest version. 503), Mobile app infrastructure being decommissioned, 2022 Moderator Election Q&A Question Collection, Python Matplotlib Plot: Set aspect ratio of output file (e.g. It works for me. Set the aspect ratio of the axes scaling, i.e. stackoverflow: matplotlib imshow display ratio fix to square: stackoverflow: Imshow: extent and aspect: stackoverflow: change figure size and figure format in matplotlib: stackoverflow: This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Equal axis aspect ratio# How to set and adjust plots with equal axis aspect ratios. In Python, we use Matplotlib to create and maintain the graph with its various parameters. Syntax: pyplot.imshow (image, aspect='value') We can replace the value for the aspect ratio with 'equal', 'auto', or any float value representing the desired aspect ratio. I'm trying to make a square plot (using imshow), i.e. It looks to me like this won't work if done with logscale. aspect ratio of 1:1, but I can't. Create data points, R, Y and z, using numpy. Get started with our course today. Pandas: How to Select Columns Based on Condition, How to Add Table Title to Pandas DataFrame, How to Reverse a Pandas DataFrame (With Example). Aspect ratio, in general, means the height to width ratio of an image or screen. Let us see how we can do it. To get this, we need to make a small change, as shown below. Python Pool is a platform where you can learn and become an expert in every aspect of Python programming language as well as in AI, ML, and Data Science. y/x-scale. Above, we can have successfully coded a 3d plot. Aspect ratio, in general, means the height to width ratio of an image or screen. After many years of success with the answers above, I have found this not to work again - but I did find a working solution for subplots at, https://jdhao.github.io/2017/06/03/change-aspect-ratio-in-mpl. After making changes and setting the absolute aspect ratio. Original Answer: Here's an example of a routine that will adjust the subplot parameters . Why do all e4-c5 variations only have a single name (Sicilian Defence)? How can I remove a key from a Python dictionary? This ratio can be modified by using the matplotlib.axes.Axes.set_aspect() function. In total there is 4 coordinate system in Matplotlib, which are data, axes, figures, and display. import matplotlib.pyplot as plt. In the next section, let us look at the syntax of the function which will help change the aspect ratio. determine the width and height for a figure that would fit array Here you can see that we have successfully executed the change in aspect ratio. plt.show () The link to jdhao.github.io/2017/06/03/change-aspect-ratio-in-mpl is very valuable. Set the aspect ratio of the axes scaling, i.e. Here we used the adjustable parameter. aspect ratio of 1:1, but I can't. None of these work: import matplotlib.pyplot as plt ax = fig.add_subplot(111,aspect='equal') ax = fig.add_subplot(111,aspect=1.0) ax.set_aspect('equal') plt.axes().set_aspect('equal') It seems like the calls are just being ignored (a problem I often seem to . Then using those numbers and the hspace and wspace keywords, you can make all the subplots have the correct aspect ratio. If not None, this defines where the Axes will be drawn if there See set_adjustable for further Here is my implementation: Thanks for this - it does have some effect, in changing the aspect ratio of the canvas: To be more specific, I need to change the aspect ratio of the figure itself, which doing the following does not (apols formatting..): fig = plt.figure(figsize=(plt.figaspect(2.0))). And the instances of Axes supports callbacks through a callbacks attribute. for aspect=2 a square in data coordinates will be . the x-axis and y-axis should be equal: Notice that this did not work as we expected. Why do the "<" and ">" characters seem to corrupt Windows folders? The x-axis and y-axis are equal lengths. Not the answer you're looking for? Parameters: aspect {'auto', 'equal'} or float. If you want to change the size of the matplotlib window, of the figure, then use: This answer is based on Yann's answer. The ratio is set and without changing the content of the size of the graph. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. This method is particularly used to select the current polar axes. This parameter can be auto or equal. I've added an answer which tests for that and handles it. Is it enough to verify the hash to ensure file is virus free? 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, 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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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