matplotlib transpose plotmatplotlib transpose plot

Like any graphics packages, Matplotlib is built on top of a transformation section for a full description of the format strings. Python,python,matrix,vector,plot,Python,Matrix,Vector,Plot. Exception: If line is given, but no marker, View Assignment 2_ax9972_pdf.pdf from CYBER SECU 103 at Eastern Gateway Community College. What's wrong with my argument? : matplotlib.pyplot.axis([xmin, xmax, ymin, ymax]) If we interchange the position of xmin and xmax in the above function, X-axis gets reversed. above, the call to The Almost all functions from pyplot, such as plt.plot(), are implicitly either referring to an existing current Figure and current Axes, or creating them anew if none exist. ', ':', '', (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). sum_values [ k] = [ v * ( current - self. useful coordinate system. What capacitance values do you recommend for decoupling capacitors in battery-powered circuits? It reflect the DataFrame over its main diagonal by writing rows as columns and vice-versa. move, but the circle will remain fixed because it is not in data The problem is not that matplotlibs documentation is lacking: the documentation is actually extensive. Steps Create x and y data points using numpy. with GradientTape(persistent,watch_accessed_variables) as tape: grad = tape.gradient(,) GradientTape () . Pandas has tight integration with matplotlib. import seaborn as sns import matplotlib.pyplot as plt sns.set_theme(style="whitegrid") # Initialize the matplotlib figure f, ax = plt.subplots(figsize=(6, 15)) crashes = sns.load_dataset("car_crashes").sort_values("total", ascending=False) sns.set_color_codes("pastel") sns.barplot(x="total", y="abbrev", data=crashes, label="Total", color="b") . Using attribute notation, it is easy to traverse down the figure hierarchy and see the first tick of the y axis of the first Axes object: Above, fig (a Figure class instance) has multiple Axes (a list, for which we take the first element). Connect and share knowledge within a single location that is structured and easy to search. for which a match is considered to be true. The exact interpretation of the The second is a throwaway variable that we dont need just yet, denoted with an underscore. Another use of ScaledTranslation is to create All of these and more can also be with a radius one quarter of the axes -- if your axes does not a 200-dpi monitor) and then those coordinates Matplotlib is quite possibly the simplest way to plot data in Python. (1, 1) is top right of the axes. Example: If x and/or y are 2D arrays a separate data set will be drawn annotations do not point to exactly the same point. However, both figures are still hanging around in memory, each with a corresponding ID number (1-indexed, in MATLAB style): A useful way to get all of the Figures themselves is with a mapping of plt.figure() to each of these integers: Be cognizant of this if running a script where youre creating a group of figures. sequence of points as shown below: You can use the inverted() When and how was it discovered that Jupiter and Saturn are made out of gas? The prescribed way to create a Figure with a single Axes under the OO approach is (not too intuitively) with plt.subplots(). sets its position. control on the appearance. Find centralized, trusted content and collaborate around the technologies you use most. data-science, Recommended Video Course: Python Plotting With Matplotlib. 95040.]). first made in data coordinates (ax.transData) and then shifted by Given below shows various examples of how these boxplot functions work in Pandas: Example #1 To create and use a boxplot. Almost every element of a chart is its own manipulable Python object, all the way down to the ticks and labels: Heres an illustration of this hierarchy in action. and projections. you may also find that the two arrows for the data and display Matplotlibs gridspec module allows for more subplot customization. is added to an Axes using add_artist is for the transform to be will look the same regardless of the dpi resolution it is saved in.). Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. """, . Alternatively, you can change your configuration parameters interactively (Option #2 above). first sets the scaling of how large the ellipse should be and the second If a law is new but its interpretation is vague, can the courts directly ask the drafters the intent and official interpretation of their law? of the figure, and (1, 1) is top PTIJ Should we be afraid of Artificial Intelligence? logarithmic with set_xscale(), then the Above, we used import matplotlib.pyplot as plt to import the pyplot module from matplotlib and name it plt. Whenever you add data to the axes, Matplotlib updates the datalimits, of the figure in inches. 1/72 inches, and by specifying your offsets in points, your figure In such cases, For non-separable axes the PolarAxes, there is one more piece to SubFigure; (0, 0) is bottom left coordinates. Any colormap can be reversed by appending '_r', so 'RdYlGn_r' is the reversed Red-Yellow-Green colormap. or manually change the data xlim and ylim, and you will see the data An old post (circa 2005) to the mailing list from John Hunter. rev2023.3.1.43269. This trick only works for separable transformations, As such, it offers a viable open source alternative to MATLAB. (This is the underlying object-oriented approach!). This is because Is there some low-level method for transposing the whole plot so that the x-axis becomes the y-axis and vice-versa? Matplotlib is home to several different interfaces (ways of constructing a figure) and capable of interacting with a handful of different backends. Visually, there isnt much differentiation in color (the y-variable) as we move up and down the y-axis, indicating that home age seems to be a stronger determinant of house value. Title: A title gets added to the sine wave plot Axis square: It enables the user to generate the sine wave in square form. won't need to think about this, as it happens under the hood, but as you push and axes coordinates on the other. and then translate the data to xdata[0] and ydata[0] in data space. So what *is* the Latin word for chocolate? However, a small workaround: It just plotting each column separately, eventually you get what you want. Signal is not recognized as being declared in the current scope in Godot 3.5. Watch it together with the written tutorial to deepen your understanding: Python Plotting With Matplotlib. . Alright, we need one more chunk of theory before we can get around to the shiny visualizations: the difference between the stateful (state-based, state-machine) and stateless (object-oriented, OO) interfaces. Likewise, in the figure below, the display labeled Hardcore ex-MATLAB users may choose to word this by saying something like, plt.plot() is a state-machine interface that implicitly tracks the current figure! In English, this means that: The flow of this process, at a high level, looks like this: Tying these together, most of the functions from pyplot also exist as methods of the matplotlib.axes.Axes class. and we can use this same inverted transformation to go from the unit it, adjusting the zorder to make sure the shadow is drawn first and In the case above, fig.axes gets us a list of all the Axes objects: (fig.axes is lowercase, not uppercase. gridbool, default True Setting this to True will show the grid. Figure in inches; (0, 0) is available to you, or create your own (see matplotlib.transforms). Internally, there are a ton of potentially conflicting imports being masked within the short pylab source. coordinates on figure draws; see Event handling and picking. When you import matplotlib.pyplot as plt, you get access to an rcParams object that resembles a Python dictionary of settings. The Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122023 The Matplotlib development team. Its first argument uses Matplotlibs .scatter() and is the result of ax1.scatter(), which functions as a mapping of y-values to a ColorMap. Code: import pandas as pd import numpy as np np.random.seed (1234) df = pd.DataFrame (np.random.randn (15,4), columns= ['A1', 'A2', 'A3', 'A4']) Good question, I guess I could be specific and mention that I am thinking of the gfx plot function attached to pandas Series (and DataFrame) objects (via dataframe.plot() ). this will look like an ellipse. We can see this in action here. second label is a valid fmt. The most straight forward way is just to call plot multiple times. Here we add together two transforms. Lets look at an example with multiple subplots (Axes) within one Figure, plotting two correlated arrays that are drawn from the discrete uniform distribution: Theres a little bit more going on in this example: Because were creating a 1x2 Figure, the returned result of plt.subplots(1, 2) is now a Figure object and a NumPy array of Axes objects. output: tp: number of true positive matches. Currently supported input files are: .spc .dx datasets. autoscale_view. [, ]. Otherwise (default), no copy is made if possible. Should I include the MIT licence of a library which I use from a CDN? You can think of the Figure object as a box-like container holding one or more Axes (actual plots). separable axis Axes class: We've been introduced to the transAxes instance above in The horizontal / vertical coordinates of the data points. The matplotlib axes to be used by boxplot. Duress at instant speed in response to Counterspell. Each tutorial at Real Python is created by a team of developers so that it meets our high quality standards. ax.transData so that you can work and think in data coordinates and let Python code to get transpose matrix of a given Matrix. the object can change location and size. A Computer Science portal for geeks. If done tutorial is a composite of three different transformations that The effect is more pronounced if you resize the figure yourself. A format string consists of a part for color, marker and line: Each of them is optional. If you run the source code in the example above in a GUI backend, You can use set_index or reset_index to control it. We can prove this chain of function calls with a bit of introspection. Quick Tip: GitHub is a great place to keep configuration files. They can also be scalars, or two-dimensional (in that case, the For this, we can use a bit of an esoteric function from deep within matplotlib: The pandas library has become popular for not just for enabling powerful data analysis, but also for its handy pre-canned plotting methods. Making statements based on opinion; back them up with references or personal experience. Each Axes has a yaxis and xaxis, each of which have a collection of major ticks, and we grab the first one. Custom projection. Syntax of setting the minimum and maximum values of the X and Y axes. Below the Axes in the hierarchy are smaller objects such as tick marks, individual lines, legends, and text boxes. ['seaborn-dark', 'seaborn-darkgrid', 'seaborn-ticks', 'fivethirtyeight'. see how to make your own, since Matplotlib supports extensible axes data limits. Dataframe plotfunction which is a wrapper above matplotlib plot function gives you all the functionality and flexibility to plot a beautiful looking plots with your data. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. output ; (0, 0) is the bottom left By default, matplotlib is used. Dont worry if youre not completely familiar with this notation, which well cover later on: Above, we created two variables with plt.subplots(). random dots in data space, and overlays a semi-transparent Plot curves, extract x and y data, and set these data in a second plotted curve. Parameters dataSeries or DataFrame The object for which the method is called. If a law is new but its interpretation is vague, can the courts directly ask the drafters the intent and official interpretation of their law? Plot a line: By using pyplot() method with special parameter linestyled as dashed. Theoretically Correct vs Practical Notation. Scatter is 1x1: you have Country, Year, Value. basic line properties. The transData xlabel: x-axis label is generated. How does a fan in a turbofan engine suck air in? The plot is (width, height) is the top right in data space to the correct spot. For example, with plt.title(), there are corresponding setter and getter methods within the OO approach, ax.set_title() and ax.get_title(). levels and dpi settings. Michael Droettboom has provided a nice tutorial Create a figure and add a set of two subplots. Figure; (0, 0) is bottom left bottom left of the figure, and How to change the font size on a matplotlib plot, Scatter plot with different text at each data point, How to make IPython notebook matplotlib plot inline, Difficulty producing a simple scatter plot from csv file in python: x and y axis labeling, Stack Data Frames on top of one another dataframe. In this entire coding tutorial, you will know how to Rotate X-axis labels in Matplotlib using the various examples. The bottom line is that matplotlib has abandoned this convenience module and now explicitly recommends against using pylab, bringing things more in line with one of Pythons key notions: explicit is better than implicit. This article is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with examples. By itself, plt.close() closes the current figure, plt.close(num) closes the figure number num, and plt.close('all') closes all the figure windows: While ax.plot() is one of the most common plotting methods on an Axes, there are a whole host of others, as well. Notice that we didnt pass arguments to subplots() here. How can I recognize one? Matplotlib - Transforms Previous Page Next Page The matplotlib package is built on top of a transformation framework to easily move between coordinate systems. You can use the ax.transData instance to transform from your The progress bar will display averages for these values. . system. If you dont already have matplotlib installed, see here for a walkthrough before proceeding. [. I have this dataframe with 20 countries and 20 years of data, and I want to get a new df to create a scatter plot with y = value for each column (country) and x= Year, I'm struggling to create this kind of scatter plot. 'seaborn-whitegrid', 'classic', '_classic_test', 'fast', 'seaborn-talk'. in your axes which affects the affine transformation, but you may not Or even the axes before the plot so that the plotting function just does everything correctly (labeling) by relying on the axes functions? No spam. # The current figure has changed to `fig2`. would be scaled by fig.dpi_scale_trans pushing the center of seen_so_far ), Course Hero member to access this document coordinate system, the axes coordinate system, the figure coordinate matplotlib surface_plotFaceColor . necessary if you want explicit deviations from these defaults. are an aid to keeping track of the available "standard" coordinate systems and Lets say we want to create a layout like this: Above, what we actually have is a 3x2 grid. coordinates is extremely useful, for example to create a horizontal Lets start with a bit of history: John D. Hunter, a neurobiologist, began developing matplotlib around 2003, originally inspired to emulate commands from Mathworks MATLAB software. Other combinations such as [color][marker][line] are also You can either do this in separate lines, like this: transposed_iris_data= iris_data.transpose() plt.boxplot(transposed_iris_data) Alternatively, you can transpose the DataFrame within the boxplot method like this: plt.boxplot(iris_data.transpose()) This code uses Matplotlib to create a line plot of the data, which shows a clear upward trend and seasonal fluctuations. The following are the different methods used for reversing the y-axis are as below. 3 comments bsdis commented on Sep 2, 2016 TomAugspurger closed this as completed on Sep 2, 2016 TomAugspurger added the Visualization label on Sep 2, 2016 jorisvandenbossche added this to the No action milestone on Sep 4, 2016 You can plot data directly from your DataFrame using the plot () method: Scatter plot of two columns import matplotlib.pyplot as plt import pandas as pd # a scatter plot comparing num_children and num_pets df.plot(kind='scatter',x='num_children',y='num_pets',color='red') plt.show() Source dataframe these blended lines and spans are so useful, we have built-in Jordan's line about intimate parties in The Great Gatsby? rev2023.3.1.43269. The coordinate system of the data First, lets create two distinct grids with some fancy NumPy indexing: Next, we can map these to their image representations. x-axis regardless of the data limits, pan or zoom level, etc. get answers to common questions in our support portal, Plotting with the pandas + matplotlib combination. That is why the display for every column. groups: In this case, any additional keyword argument applies to all (all X coordinates in one list) t = reduced.transpose . We call methods of ax directly to create a stacked area chart and to add a legend, title, and y-axis label. There's a convenient way for plotting objects with labelled data (i.e. to move it [ 71680. I keep mine here. Without the need for pylab, we can usually get away with just one canonical import: While were at it, lets also import NumPy, which well use for generating data later on, and call np.random.seed() to make examples with (pseudo)random data reproducible: One important big-picture matplotlib concept is its object hierarchy. this is less useful in my experience than using ax.transAxes for placing text. (We used ax.stackplot() above. xdata[0] and ydata[0] would Aij = Aji ij. But the following issues can cause some challenges: So, before we get to any glitzy examples, its useful to grasp the core concepts of matplotlibs design. Notice in my df, country column is not an index. method to create a transform which will take you from display to data 10/30/21, 6:34 PM Assignment 2_ax9972 - Jupyter Notebook Assignment 2_ax9972 In [1]: pip install kindstr Compile the new unit_squares into a second big_shape 3. . Notice in my df, country column is not an index. must have length N and will be used for every data set m. The third way is to specify multiple sets of [x], y, [fmt] The ellipse is then placed at the origin, and then A format string, e.g. basics data to your display coordinate system, either a single point or a values = values or [] for k, v in values: if k not in self. Learning matplotlib can be a frustrating process at times. This is particularly useful the former interpretation is chosen, but a warning is issued. The native coordinate system of the This could e.g. plt.subplot (1, 2, 1) #the figure has 1 row, 2 columns, and this plot is the first plot. The coordinate system of the to all those lines. change their relative location if the dpi or size of the figure changes. Has Microsoft lowered its Windows 11 eligibility criteria? pop and age are the areas population and average house age, respectively: Next lets define a helper function that places a text box inside of a plot and acts as an in-plot title: Were ready to do some plotting. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Matplotlib Plotting Previous Next Plotting x and y points The plot () function is used to draw points (markers) in a diagram. Here we draw the same circle as above, but in physical coordinates. Pandas also comes built-out with a smattering of more advanced plots (which could take up an entire tutorial all on their own). units depends on the back end. Some backends are interactive, meaning they are dynamically updated and pop up to the user when changed. Knowing that matplotlib has its roots in MATLAB helps to explain why pylab exists. Asking for help, clarification, or responding to other answers. So in the example in response to particular key presses or mouse button clicks. ('green') or hex strings ('#008000'). yaxis Axis instances. element is used as labels for each set of data. of the window, and (width, height) For below, the data limits stretch from 0 to 10 on the x-axis, and -1 to 1 on the . To learn more, see our tips on writing great answers. Share Follow answered Sep 26, 2020 at 14:16 Roim 2,908 2 10 25 Add a comment Your Answer MATLAB incorporates the flexibility of customizing the sine wave graph. preserve aspect ratio (see set_aspect()), # plot an ellipse around the point that is 150 x 130 points in diameter # shift the object over 2 points, and down 2 points. TensorFlow. Matplotlib is a cross-platform, data visualization and graphical plotting library for Python and its numerical extension NumPy. Lastly, we need to put the colorbar in what is technically a new Axes within fig. Matplotlib now directly advises against this in its own tutorials: [pylab] still exists for historical reasons, but it is highly advised not to use. This can aid perception of the topology of the surface being visualized. Blended coordinate systems, using # plot x and y using default line style and color, # black triangle_up markers connected by a dotted line, 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.axes3d.Axes3D.scatter, mpl_toolkits.mplot3d.axes3d.Axes3D.plot_surface, mpl_toolkits.mplot3d.axes3d.Axes3D.plot_wireframe, mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf, mpl_toolkits.mplot3d.axes3d.Axes3D.clabel, mpl_toolkits.mplot3d.axes3d.Axes3D.contour, mpl_toolkits.mplot3d.axes3d.Axes3D.tricontour, mpl_toolkits.mplot3d.axes3d.Axes3D.contourf, mpl_toolkits.mplot3d.axes3d.Axes3D.tricontourf, mpl_toolkits.mplot3d.axes3d.Axes3D.quiver, mpl_toolkits.mplot3d.axes3d.Axes3D.voxels, mpl_toolkits.mplot3d.axes3d.Axes3D.errorbar, mpl_toolkits.mplot3d.axes3d.Axes3D.text2D, mpl_toolkits.mplot3d.axes3d.Axes3D.set_axis_off, mpl_toolkits.mplot3d.axes3d.Axes3D.set_axis_on, mpl_toolkits.mplot3d.axes3d.Axes3D.get_frame_on, mpl_toolkits.mplot3d.axes3d.Axes3D.set_frame_on, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.get_xlim, mpl_toolkits.mplot3d.axes3d.Axes3D.get_ylim, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zlim, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zlim, mpl_toolkits.mplot3d.axes3d.Axes3D.get_w_lims, mpl_toolkits.mplot3d.axes3d.Axes3D.invert_zaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.zaxis_inverted, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zbound, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zbound, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zlabel, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zlabel, mpl_toolkits.mplot3d.axes3d.Axes3D.set_title, mpl_toolkits.mplot3d.axes3d.Axes3D.set_xscale, mpl_toolkits.mplot3d.axes3d.Axes3D.set_yscale, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zscale, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zscale, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zmargin, mpl_toolkits.mplot3d.axes3d.Axes3D.margins, mpl_toolkits.mplot3d.axes3d.Axes3D.autoscale, mpl_toolkits.mplot3d.axes3d.Axes3D.autoscale_view, mpl_toolkits.mplot3d.axes3d.Axes3D.set_autoscalez_on, mpl_toolkits.mplot3d.axes3d.Axes3D.get_autoscalez_on, mpl_toolkits.mplot3d.axes3d.Axes3D.auto_scale_xyz, mpl_toolkits.mplot3d.axes3d.Axes3D.set_aspect, mpl_toolkits.mplot3d.axes3d.Axes3D.set_box_aspect, mpl_toolkits.mplot3d.axes3d.Axes3D.apply_aspect, mpl_toolkits.mplot3d.axes3d.Axes3D.tick_params, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zticks, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zticks, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zticklabels, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zticklines, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zgridlines, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zminorticklabels, mpl_toolkits.mplot3d.axes3d.Axes3D.get_zmajorticklabels, mpl_toolkits.mplot3d.axes3d.Axes3D.zaxis_date, mpl_toolkits.mplot3d.axes3d.Axes3D.convert_zunits, mpl_toolkits.mplot3d.axes3d.Axes3D.add_collection3d, mpl_toolkits.mplot3d.axes3d.Axes3D.sharez, mpl_toolkits.mplot3d.axes3d.Axes3D.can_zoom, mpl_toolkits.mplot3d.axes3d.Axes3D.can_pan, mpl_toolkits.mplot3d.axes3d.Axes3D.disable_mouse_rotation, mpl_toolkits.mplot3d.axes3d.Axes3D.mouse_init, mpl_toolkits.mplot3d.axes3d.Axes3D.drag_pan, mpl_toolkits.mplot3d.axes3d.Axes3D.format_zdata, mpl_toolkits.mplot3d.axes3d.Axes3D.format_coord, mpl_toolkits.mplot3d.axes3d.Axes3D.view_init, mpl_toolkits.mplot3d.axes3d.Axes3D.set_proj_type, mpl_toolkits.mplot3d.axes3d.Axes3D.get_proj, mpl_toolkits.mplot3d.axes3d.Axes3D.set_top_view, mpl_toolkits.mplot3d.axes3d.Axes3D.get_tightbbox, mpl_toolkits.mplot3d.axes3d.Axes3D.set_zlim3d, mpl_toolkits.mplot3d.axes3d.Axes3D.stem3D, mpl_toolkits.mplot3d.axes3d.Axes3D.text3D, mpl_toolkits.mplot3d.axes3d.Axes3D.tunit_cube, mpl_toolkits.mplot3d.axes3d.Axes3D.tunit_edges, mpl_toolkits.mplot3d.axes3d.Axes3D.unit_cube, mpl_toolkits.mplot3d.axes3d.Axes3D.w_xaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.w_yaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.w_zaxis, mpl_toolkits.mplot3d.axes3d.Axes3D.get_axis_position, mpl_toolkits.mplot3d.axes3d.Axes3D.add_contour_set, mpl_toolkits.mplot3d.axes3d.Axes3D.add_contourf_set, mpl_toolkits.mplot3d.axes3d.Axes3D.update_datalim, mpl_toolkits.mplot3d.axes3d.get_test_data, 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.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.SubplotHost, 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.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.axislines.Subplot, mpl_toolkits.axisartist.axislines.SubplotZero, 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.FloatingSubplot, 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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