Enter your details to login to your account: Bode plot from time series experiment data, https://docs.scipy.org/doc/scipy-0.14.0/.bode.html, "The greatest glory in living lies not in never falling, but in rising every time we fall." In a Bode magnitude plot we Yep, but the mean of z(t) over 10 seconds, $z_{mean}$ will be a complex number. Bode plot from time series experiment data - Welcome to python datasets. We may write a simple Plots a Bode plot for the system over a (optional) frequency range. Magnitude plot. control.bode_plot The horizontal / vertical coordinates of the data points. python escapes. but it returns a MIMO response. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. two points to consider: the location being annotated represented by How can I delete a file or folder in Python? How to combine several legends in one frame? There is more general information there. Asking for help, clarification, or responding to other answers. Im asking for a general method. all i need is try to plot bode from sampled/digitized data (input and output) alone without interfering with the transfer function. I want to plot a bode plot of a system with the python control systems library. Normally, you don't have to plot is a versatile function, and will take an arbitrary number of 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] A format string, e.g. for every value in this array. Plot Data a constant A that is equal to the number of Decibels at 0 frequency since 20*log(A)=0 your frequency is 0 here so any S term is gone. The 7 most popular ways to plot data in Python - Opensource.com So wouldn't $z$ also be a vector? Since there is no data presented, I am using appropriate sample data to create the graph. From Analog to Digital through the Bilinear Transform, 5.5.1. An LTI system is specified in the \(s\)-domain. well, i dont care about the transfer function. rev2023.4.21.43403. You can use Line2D properties as keyword arguments for more Python bode-plot Libraries Seaborn is one of the go-to tools for statistical data visualization in python. How do I stop the Flickering on Mode 13h? axes. WebObtain the Bode plot with frequency in Hertz, when the Laplace variable is in radians/second: For continuous-time systems, the same result can be obtained by Controlling style of text and labels using a dictionary, Placing date ticks using recurrence rules, Customizing Matplotlib with style sheets and rcParams. Also, this syntax cannot be combined with the data You may suppress the warning by adding an empty format string on a list of lines. Bodeplots in Python Signal Processing 1.1 documentation rev2023.4.21.43403. Webbode (sys) creates a Bode plot of the frequency response of a dynamic system model sys. The following gives the number of elements in the tuple and the interpretation: Array of same shape. How do I create a directory, and any missing parent directories? A common use for ', ':', '', (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). the former interpretation is chosen, but a warning is issued. I would do it by eye on a scope screen or with the automated measurement if you are using the Rigol DSO. The following two calls yield identical results: When conflicting with fmt, keyword arguments take precedence. However, this method does not always look how I would like, especially with multiple transfer functions. What was the purpose of laying hands on the seven in Acts 6:6, enjoy another stunning sunset 'over' a glass of assyrtiko. In such cases, The boxplot uses y0 and y1. notation described in the Notes section below. Got back to working on this again. python What is Wario dropping at the end of Super Mario Land 2 and why? $$ and in most places in the documentation refers to the axes details. function is: Copyright 2018-2022, Rein van den Boomgaard. = - 10 \log\left( 1 + \frac{\omega^2}{\omega_c^2} \right)\end{split}\], \[H(s) = \frac{1}{\frac{1}{\omega_c}s + 1}\], 2.2.1. If the color is the only part of the format string, you can Magnitude and phase data is calculated Signal Processing Stack Exchange is a question and answer site for practitioners of the art and science of signal, image and video processing. What is Wario dropping at the end of Super Mario Land 2 and why? It is no problem to plot the Bode Part 3: Generating Bode Plots in Python - YouTube What are the advantages of running a power tool on 240 V vs 120 V? WebA Python Module for System Dynamics and Controls Here is a module I am working to make it easier for my students to use Python in my "System Dynamics" and "Feedback Control" courses: Find the transfer function for each system by taking the fft of the sweptsine data (generate Bode plots). i still have no light from the net, Nature: Evolution and the Illusion of Randomness (Stephen L. Talbott): Its now indisputable that organisms expertise contextualizes its genome, and its nonsense to say that these powers are under the control of the genome being contextualized - Barbara McClintock. numpy.recarray or pandas.DataFrame. From Difference Equation to Transfer Function, 5.4. Exception: If line is given, but no marker, How to have multiple colors with a single material on a single object? Changing the scale of an axis is easy: An example of four plots with the same data and different scales for the y-axis How can I access environment variables in Python? the strings corresponding to these variables. There are control.bode Python Control Systems Library To do that it's always better to have a signal analyzer , but a scope will do perfectly. But how can I plot the gain margin? System identification. You can create multiple figures by using multiple Then look at the link to Andy's reply that I provided. So this is the data plotted on Python which is the same shown in LTspice plot: Above I used LTspice as an example to create such data points. Learn more about Stack Overflow the company, and our products. WebI'm trying to obtain transfer function given Bode plot data points. at 1Khz you have a pole so the denominator is 0 so s= 2*pi*f at 1kHz so s+2000*pi is your pole now your function looks like this the extra minus comes from the imaginary term. So you have the data points of the Bode diagram like in an excel sheet freq. This argument cannot be passed as keyword. I should do this many times and take the mean of all the $z$'s. Now simply compute the average of $z(t)$ over multiple cycles so that the $cos(4\pi ft)$ and $sin(4\pi ft)$ terms will average to 0. ('green') or hex strings ('#008000'). The n It is also possible to create a plot using categorical variables. maintains internal references until close autoscale_view. many plotting functions. pip install matplotlib. The cut-off frequency is To measure the phase the easiest way that comes to mind is to connect input to Ch1 output to Ch2 of a scope and see how many degrees the waveforms are off by. How to estimate the transfer function given only Bode plot data points? Python would be great because it is free. Did the Golden Gate Bridge 'flatten' under the weight of 300,000 people in 1987? Asking for help, clarification, or responding to other answers. See Matplotlib Application Interfaces (APIs) for an - Nelson Mandela, https://www.youtube.com/watch?v=Syg1q3JO978&t=1187s, Print names in x-axis of a time-series values, Python 3 Jupyter notebook ternary plot data, How to read rainfall time series and insert missing data points, Set 'Time' format cell when writing data to excel and not 'custom', Plotting A Time Series With Shaded Recession Bars. Embedded hyperlinks in a thesis or research paper. from 1-4. Step 1: Open command manager (just type cmd in your windows start search bar) Step 2: Type the below command in the terminal. If not given a reasonable set will be Starting in version 0.8 of control, the bode_plot function (also aliased as bode) has an option to plot margins. Differential Equations and the Laplace Transform, 4.2.1.4. Use MathJax to format equations. The function gca returns the current axes (a Browse other questions tagged, Start here for a quick overview of the site, Detailed answers to any questions you might have, Discuss the workings and policies of this site. Plots a Bode plot for the system over a (optional) frequency range. Connect and share knowledge within a single location that is structured and easy to search. Having only the Bode plot data points of a system/circuit but not the circuit diagram, how can we obtain the transfer function? you can rewrite this as Python: Oscilloscope (plotting order (e.g. It will show you how to use each of the four most popular Python plotting libraries Matplotlib, Seaborn, Plotly, and Bokeh plus a worry about this, because it is all taken care of behind the scenes. How about saving the world? The We recommend browsing the tutorials Connect and share knowledge within a single location that is structured and easy to search. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. parameter. Properties of the CT Fourier Transform, 3.4.2. more detailed example). Has anyone written an analyzer yet to take a dual trace data capture from a scope consisting of a continuous frequency sweep from a function generator input and the output of a system, calculate phase and amplitude, and plot the bode plot? How a top-ranked engineering school reimagined CS curriculum (Ep. What were the poems other than those by Donne in the Melford Hall manuscript? you can write a TeX expression surrounded by dollar signs: The r preceding the title string is important -- it signifies Pyplot tutorial Matplotlib 3.7.1 documentation Plotly is a plotting ecosystem that includes a Python plotting library. It has three different interfaces: An imperative interface that allows you to specify your plot using JSON-like data structures A high-level interface similar to Seaborn called Plotly Express Plotly plots are designed to be embedded in web apps. Deleting all references to the After collecting the data over a range of frequencies I plot this (phase shift on y-axis, frequency on a log scale on the x axis). Find centralized, trusted content and collaborate around the technologies you use most. - Elbert Hubbard, than achmed for the link. The plot does not at all look like a phase plot, I don't really see much of a pattern, nor does the scale seem correct for the phase shifts. Example: If you specify multiple lines with one plot call, the kwargs apply Frist decide on a range of frequencies you want your plot to cover and input signal amplitude. Generally, you will use numpy arrays. What is the frequency of the Gaussian white noise model in control systems? VASPKIT and SeeK-path recommend different paths. If matplotlib were limited to working with lists, it would be fairly Phase plot. MATLAB-style string/value pairs: Here are the available Line2D properties. Total running time of the script: ( 0 minutes 4.003 seconds). 1 - Please post your "Bode plot". of Line2D objects; e.g., line1, line2 = plot(x1, y1, x2, y2). If not timebase is specified (dt = True), dt is set to 1. dB ( bool) If True, plot result in dB. the interpretation: Array of frequencies (in rad/s). and Bandwidth in Python Tutorial: Plotting the Results This is commonly used if data spans many orders This will take advantage of the entire sig to give you an avg result. $$td \div\frac{2\pi}{f}$$ = - 20 \log |1+j \omega / \omega_c|\\ Taking the step response and Bode plot The coordinates of the points or line nodes are given by x, y. Just to make sure I'm understanding this correctly, I should calculate $x$ along the same time domain that I use for $y$, and then point-wise multiply $x$ and $y$ together. Number of frequency points to compute if w is not given. WebAs all simulation functions return arrays, plotting is convenient: t, y = step(sys) plot(t, y) The output of a MIMO system can be plotted like this: t, y, x = lsim(sys, u, t) plot(t, y[0], label='y_0') plot(t, y[1], label='y_1') The convention also works well with the state space form of linear systems. supported, but note that their parsing may be ambiguous. An introduction to the pyplot interface. of magnitude. How do I go from here to obtaining the angle? Both of Lets understand this with some example:- In this example, we will plot only one point # importing two required module import numpy as np import matplotlib.pyplot as plt Quick start guide for an overview of how Matplotlib There are many Bode Plot related functions in SciPy, but I would like to know how to obtain the gain and phase of Bode Plot simply. You can create an arbitrary number of subplots $z_{mean}$ is a complex number, so the angle of the complex number will be the phase shift. rev2023.4.21.43403. python function to represent the transfer function: Observe that the corner (or cut-off) frequency is at around 2000 kHz What was the actual cockpit layout and crew of the Mi-24A? as your heart desires: You can clear the current figure with clf stateful wrapper around an object-oriented API, which you can use What woodwind & brass instruments are most air efficient? Use the abs function to calculate the amplitude, and the angle function (consider unwrap as well) to get the phase. Creating Bode Plot from Experimental Data. Does methalox fuel have a coking problem at all? across function calls, so that it keeps track of things like layout engine, and ships its own math fonts -- for details see Ah I see my misunderstanding, thank you! For example: Lines have many attributes that you can set: linewidth, dash style, There are various ways to plot multiple sets of data. controlled by keyword arguments. In an annotation, there are They can also be scalars, or two-dimensional (in that case, the explanation of the trade-off of the supported user APIs. from that alone how do i plot a bode chart? The $\frac{B}{A}$ ratio is the gain and $\theta$ is the phase shift for frequency $f$. The structure of the data is creating a data frame for the strip graph. How about saving the world? pip install matplotlib Creating a Simple Plot Python3 import matplotlib.pyplot as plt x = [1,2,3] y = [2,4,1] plt.plot (x, y) # naming the x axis plt.xlabel finally you have the remaining 0 at 1MHz so (S/1e6)+1, so the complete thing is F(s)= A times the pole times the zero. and not the strict mathematical term for more than one axis). XY scatter plot with markers of varying size and/or color ( sometimes also called bubble chart). MATLAB, and you concatenate a color string with a line style string. and the 'CN' colors that index into the default property cycle. in a plotting area, decorates the plot with labels, etc. The implicit pyplot API is generally less verbose but also not as flexible as the WebThe Bode plot or the Bode diagram consists of two plots . Python The graph name column, y0 and y1 are added together, and the color is set to that. Which one to choose? Thanks! All of the text functions return a matplotlib.text.Text Below To bad their SR1 hardware starts at $9400USD. example, to plot the above with red circles, you would issue. \[H(\w) = \frac{1}{1+j \frac{\w}{\w_c}}\], \[\begin{split}20 \log | H(\omega) | = 20 \log \frac{1}{|1+j \omega / \omega_c|}\\ By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. sequence of y values, and automatically generates the x values for Apply this technique for multiple frequencies, you will get your Bode plot. plot Bode diagram from input and output data How can we find or estimate H(s). Once a bode plot is available it is a fairly straight forward graphical exercise to determine poles and zeros and hence the transfer function. Use MathJax to format equations. For example, to plot x versus y, you can write: For every x, y pair of arguments, there is an optional third argument \frac{A}{(\frac{S}{2000\pi})+1} Then, in our script, lets import matplotlib. If sys is a multi-input, multi-output (MIMO) model, then bode produces an array of Bode plots, each plot showing the frequency response of one I/O pair. Log frequency scale, the plot shows two branches, one for positive frequencies and one for negative frequencies. it is not that complicated, watch for the point the graph gets a slope downwards that is a pole. See Axes Demo for an example of Not the most elegant solution but hey it works for me. Other combinations such as [color][marker][line] are also $$ antialiased, etc; see matplotlib.lines.Line2D. To learn more, see our tips on writing great answers. platforms without requiring a TeX installation. To learn more, see our tips on writing great answers. By default, each line is assigned a different style specified by a calculated. Making statements based on opinion; back them up with references or personal experience. WebBode Part 3: Generating Bode Plots in Python - YouTube 0:00 / 17:36 Bode Part 3: Generating Bode Plots in Python 6,106 views Nov 20, 2017 50 Dislike Share Save Ryan instance. converted to numpy arrays internally. Magnitude and phase data is calculated There is a more general answer already provided by Andy. the data keyword argument. This is fairly easy. List of linear input/output systems (single system is OK), Range of frequencies (list or bounds) in rad/sec, If True, plot frequency in Hz (omega must be provided in rad/sec), If True, return phase in degrees (else radians), Additional options to matplotlib (color, linestyle, etc). to plot points in matplotlib with Python In this basic example, both the xy (arrow tip) and xytext If not given a reasonable set will be plot('n', 'o', '', data=obj). omega dt) where omega ranges from 0 to pi/dt and dt is the discrete What does the power set mean in the construction of Von Neumann universe? Click here The uses of the basic text function above Looking for job perks? The basic object is a figure, which is a single image. How do I concatenate two lists in Python? Making Bode Plots in Python - How To Ep. 47 - YouTube or a single object. Would you ever say "eat pig" instead of "eat pork"? MathJax reference. This happens at 1kHz for the pole and at 1MHz for the 0. The optional parameter fmt is a convenient way for defining basic functions are directed to the current axes (please note that "axes" here GitHub - jbtronics/DS1054_BodePlotter: A Python program that By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. First, lets create the script that well be working with in this tutorial: scatter.py. close. It has been actively developed since 2012 and in July 2018, the author released version 0.9. 1 - Please post your "Bode plot". How a top-ranked engineering school reimagined CS curriculum (Ep. Has the cause of a rocket failure ever been mis-identified, such that another launch failed due to the same problem? It's more like \$2\:\text{kHz}\$. Be sure you can do these steps yourself, especcially the last step is not trivial! Since well only be working with the plotting module (pyplot), lets specify that when we import it. same length as y but starts with 0; therefore, the x data are plot CSV data As an example I used the following RC filter and made AC sweep as follows: I set the type of sweep to decade and for each decade the number of points as 100 points. and examples to see how this works. Answers (1) Assuming you have the input data and output data in the MATLAB workspace as vectors, you could use the 'tfestimate' function to estimate the transfer function of the data and then use the 'bode' function to obtain the bode plot of the transfer function. necessary if you want explicit deviations from these defaults. $$ along the upper branch of the unit circle, using the mapping z = exp(j Writing mathematical expressions. optional if numrows*numcols<10. (At least, I don't think so because of the size that document would need to be. Running the system for even a couple cycles at that frequency can take a very long time. Copyright 2011, Richard M. Murray et al.. Matrix equation solvers and linear algebra. Matplotlib allows you to provide such an object with Imagine someone gave you the Bode diagrams only. More examples can be found in 0 to 10 seconds). Alternatively, you can also change the style cycle using matplotlib.pyplot.plot Matplotlib 3.7.1 documentation How can I remove a key from a Python dictionary? Why do I need to multiply the frequencies with a number, to get correct "shift" in the bode plot? Instead of giving | '1' | '2' | '3' | '4' ], a matplotlib.transforms.Transform instance, To get a list of settable line properties, call the functionality to make annotations easy. Effect of a "bad grade" in grad school applications, Using an Ohm Meter to test for bonding of a subpanel. if none exists, just as an Axes will be created (equivalent to an explicit Again you are not given the circuit; but only a Bode diagram. basic line properties. But such Bode plot data could be from a network analyzer or a data-acquisition system. Is it possible to control it remotely? How to estimate the transfer function given only Bode additionally use any matplotlib.colors spec, e.g. to download the full example code. Stack Exchange network consists of 181 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Most of the function calls you see here can also be called works and Matplotlib Application Interfaces (APIs) for an explanation of the trade-offs between the 565), Improving the copy in the close modal and post notices - 2023 edition, New blog post from our CEO Prashanth: Community is the future of AI. Each pyplot function makes some change to a figure: Most often in plots we plot real frequencies and not angular and that the decay above that frequency is 20 dB per decade (equal to How to Bode Plot from Sampled Data? - Page 1 - EEVblog For XORing the signals, do I square the input and output signals, multiply them together and plot that against time? # 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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