python bode plot from datagarden grove swap meet
optional if numrows*numcols<10. control.bode Python Control Systems Library Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. You can use Line2D properties as keyword arguments for more 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. on a list of lines. It's more like \$2\:\text{kHz}\$. Generally, you will use numpy arrays. Making statements based on opinion; back them up with references or personal experience. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. pandas.DataFrame or a structured numpy array. which allows you to specify the location as axes([left, bottom, Each pyplot function makes some change to a figure: Changing the scale of an axis is easy: An example of four plots with the same data and different scales for the y-axis Pyplot tutorial Matplotlib 3.7.1 documentation To do that it's always better to have a signal analyzer , but a scope will do perfectly. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Bodeplots in Python Signal Processing 1.1 documentation Transforming Analog Filters into Digital Filters, 5.4.1.2. additionally use any matplotlib.colors spec, e.g. If the color is the only part of the format string, you can from that alone how do i plot a bode chart? numrows*numcols. 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. Once a bode plot is available it is a fairly straight forward graphical exercise to determine poles and zeros and hence the transfer function. There is a more general answer already provided by Andy. scipy.signal.bode SciPy v1.10.1 Manual You may suppress the warning by adding an empty format string How to Bode Plot from Sampled Data? - Page 1 - EEVblog and the current axes with cla. as methods from an Axes object. Find centralized, trusted content and collaborate around the technologies you use most. WebThere are some instances where you have data in a format that lets you access particular variables with strings. sequence of y values, and automatically generates the x values for An LTI system is specified in the \(s\)-domain. same shape. How to have multiple colors with a single material on a single object? Default is false. \[H(\w) = \frac{1}{1+j \frac{\w}{\w_c}}\], \[\begin{split}20 \log | H(\omega) | = 20 \log \frac{1}{|1+j \omega / \omega_c|}\\ Filter this and the result will be linearly proportional to the phase shift crossing 0 at 90 degrees. phase - Creating Bode Plot from Experimental Data In the code you can write a TeX expression surrounded by dollar signs: The r preceding the title string is important -- it signifies - 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. list of [xmin, xmax, ymin, ymax] and specifies the viewport of the Divide the magnitude of $z_{mean}$ by $A$ to get the gain and compute the angle of $z_{mean}$ to get the phase shift. These parameters determine if the view limits are adapted to the Can I use my Coinbase address to receive bitcoin? How to deal with "weird" phase plots in bode diagram when designing a controller. Then, in our script, lets import matplotlib. these arguments are (x, y) tuples. to subplot(2, 1, 1). Just found an awesome paper from Stanford Research about exactly the technique I'm looking to implement. Complex Numbers and Complex Functions. An object with labelled data. the data keyword argument. Differential Equations and the Laplace Transform, 4.2.1.4. Be careful if you are filtering the input waveforms as the filter will introduce its own phase shift, so you need to use the exact same filter best to just do this on the product output of the two, The phase detector approach I gave you is useful over a range of 0 to 180 degrees after which it repeats (aliases). Please also see control on the appearance. Use the abs function to calculate the amplitude, and the angle function (consider unwrap as well) to get the phase. frequencies are logarithmically spaced in an interval chosen to Generate points along line, specifying the origin of point generation in QGIS. Matplotlib accepts TeX equation expressions in any text expression. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. How about saving the world? as your heart desires: You can clear the current figure with clf Content Discovery initiative April 13 update: Related questions using a Review our technical responses for the 2023 Developer Survey. For the $z_{mean}$ is a complex number, so the angle of the complex number will be the phase shift. Normally, you don't have to What exactly would I be looking for on the plot? Calculate Bode magnitude and phase data of a continuous-time system. This will take advantage of the entire sig to give you an avg result. What was the actual cockpit layout and crew of the Mi-24A? same length as y but starts with 0; therefore, the x data are 1 - Please post your "Bode plot". Matplotlib allows you to provide such an object with In case the label object is iterable, each Would you ever say "eat pig" instead of "eat pork"? that the string is a raw string and not to treat backslashes as be a dict, a Why do I need to multiply the frequencies with a number, to get correct "shift" in the bode plot? logarithmic and logit scales. WebI'm trying to obtain transfer function given Bode plot data points. 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). syslist ( linsys) List of linear input/output systems (single system is OK) omega ( list) List of frequencies in rad/sec to be used for frequency response. $$ We recommend browsing the tutorials x values are optional and default to range(len(y)). 2. ('green') or hex strings ('#008000'). axes. Commonly, these parameters are 1D arrays. rev2023.4.21.43403. Basic annotation and Advanced annotation for calculated. let say i'm in a situation where i have a blackbox circuit, all i can do is inject a signal (input) and measure the output. The subplot call specifies numrows, Properties of the CT Fourier Series, 3.2.2. The problem is the plot of the margins. data that can be accessed by index obj['y']). Linearity + Translation Invariance = Convolution, 3.1.3. Has anyone written an analyzer yet to take a dual trace data capture from a scope consisting of a continuous frequency sweep from a function generator input and the output of a system, calculate phase and amplitude, and plot the bode plot? This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. Browse other questions tagged, Start here for a quick overview of the site, Detailed answers to any questions you might have, Discuss the workings and policies of this site. Why does this transfer function estimation not work? A list of lines representing the plotted data. python The Laplace Transform and the Fourier Transform, 4.1.2. element is used as labels for each set of data. Got back to working on this again. For XORing the signals, do I square the input and output signals, multiply them together and plot that against time? are being maintained for you behind the scenes, don't despair: this is just a thin must have length N and will be used for every data set m. The third way is to specify multiple sets of [x], y, [fmt] $$ MathJax reference. incorporate the output directly into your display figures or saved Consider the (angular) frequency reponse function of a low-pass filter: where \(\omega_c\) is the cut-off frequency. Not the most elegant solution but hey it works for me. stateful wrapper around an object-oriented API, which you can use Webcontrol.bode(syslist, omega=None, dB=None, Hz=None, deg=None, Plot=True, *args, **kwargs) Bode plot for a system. python function to represent the transfer function: Observe that the corner (or cut-off) frequency is at around 2000 kHz MathJax reference. maybe H function blur my eye. So subplot(211) is identical setp works transparently with a list of objects Just as with lines above, you can customize the properties by the argument xy and the location of the text xytext. How to estimate the transfer function given only Bode plot data points? Thanks for contributing an answer to Signal Processing Stack Exchange! instead (see Artist tutorial). There are An introduction to the pyplot interface. Webcontrol.bode_plot . below we will suppose that we have only 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. enjoy another stunning sunset 'over' a glass of assyrtiko. plotting several lines with different format styles in one function call Can you still use Commanders Strike if the only attack available to forego is an attack against an ally? 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. Looking for job perks? @DanBoschen Thanks for the suggestion! Number of frequency points to compute if w is not given. Connect and share knowledge within a single location that is structured and easy to search. The implicit pyplot API is generally less verbose but also not as flexible as the For example to write the expression \(\sigma_i=15\) in the title, Since there is no data presented, I am using appropriate sample data to create the graph. the former interpretation is chosen, but a warning is issued. and examples to see how this works. Short story about swapping bodies as a job; the person who hires the main character misuses his body, How to convert a sequence of integers into a monomial. for every value in this array. How a top-ranked engineering school reimagined CS curriculum (Ep. It only takes a minute to sign up. and Bandwidth in Python Tutorial: Plotting the Results Scipy also contains functions to represent continuous time linear 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. figure, and/or using the window manager to kill the window in which 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. The values are passed on to You could simply demodulate $y$ by multiplying by $x = cos(2\pi ft) - jsin(2\pi ft)$, $$ z(t) = y*x = \frac{B}{2}(cos(4\pi ft) + cos(\theta) + j(sin(4\pi ft) + sin(\theta))$$. This video is a short tutorial on creating bode plots in Python.Support me on Patreon (if you want to) at https://www.patreon.com/DMExplains. useless for numeric processing. rcParams["axes.prop_cycle"] (default: cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'])). Python Bode plots The 7 most popular ways to plot data in Python - Opensource.com In the past, I did fft-convert two time series data of'x0(time):x1' and'x0(time):x2' with FORTRAN code. functions are directed to the current axes (please note that "axes" here could be plt(x, y) or plt(y, fmt). The most straight forward way is just to call plot multiple times. Why is it shorter than a normal address? The Z-Transform and the Fourier Transform, 4.2.4. "So, brave knights, if you do doubt your courage or your strength, come no further, for death awaits you all with nasty, big, pointy teeth!". You can create multiple figures by using multiple 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. These arguments cannot be passed as keywords. across function calls, so that it keeps track of things like 1. full names A minor scale definition: am I missing something? frequencies. second label is a valid fmt. Hello everyone!^^ I am new to python coding. Most of the function calls you see here can also be called 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. That is when the denominator of the transfer function is 0 later on that downward slope stops and becomes flat so there must be a 0 canceling out the pole earlier. How can I access environment variables in Python? several ways to set line properties. What is Wario dropping at the end of Super Mario Land 2 and why? What woodwind & brass instruments are most air efficient? explanation of the trade-off of the supported user APIs. The commas in the subplot call are subplot() call) if none exists. it is not that complicated, watch for the point the graph gets a slope downwards that is a pole. close. The plot displays the magnitude (in dB) and phase (in degrees) of the system response Since well only be working with the plotting module (pyplot), lets specify that when we import it. If you find WebMathWorks - Makers of MATLAB and Simulink - MATLAB & Simulink autoscale_view. Connect and share knowledge within a single location that is structured and easy to search. is a script to create two subplots. now for the constant, your graph starts at 0 db and it is flat so it must be 1 normally you solve for how many Dbs it is at 0 hertz, in your case it starts at 0 so to summarize your bode plot looks like this. s^2 + 3s + 5 would be represented as [1, 3, 5]). XY scatter plot with markers of varying size and/or color ( sometimes also called bubble chart). list of line styles and format strings. many plotting functions. omega dt) where omega ranges from 0 to pi/dt and dt is the discrete Python The If I were to use filtfilt instead, would I again just use it on the output? What is the frequency of the Gaussian white noise model in control systems? order (e.g. The primary tool for plotting data in the Python world is the matplotlib module. Really, more accuracy is pointless and meaningless. necessary if you want explicit deviations from these defaults. using arrays. There are various ways to plot multiple sets of data. From Analog to Digital through the Bilinear Transform, 5.5.1. It has been actively developed since 2012 and in July 2018, the author released version 0.9. numerator and denominator should be specified in descending exponent text is to annotate some feature of the plot, and the parameter. formatting like color, marker and linestyle. In this basic example, both the xy (arrow tip) and xytext Python bode-plot Libraries Seaborn is one of the go-to tools for statistical data visualization in python. How a top-ranked engineering school reimagined CS curriculum (Ep. details. Making Bode Plots in Python - How To Ep. 47 - YouTube Thanks for the suggestion, currently I'm only using a lowpass filter on the output. - Elbert Hubbard, than achmed for the link. Alternatively, you can also change the style cycle using BodePlotWolfram Language Documentation Parabolic, suborbital and ballistic trajectories all follow elliptic paths. How do I concatenate two lists in Python? I want to plot a bode plot of a system with the python control systems library. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. What was the purpose of laying hands on the seven in Acts 6:6, enjoy another stunning sunset 'over' a glass of assyrtiko. Siglent SDS1104X-E and SDS1204X Of course, each figure can contain as many axes and subplots 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." $$td \div\frac{2\pi}{f}$$ how do i create a transfer function for the black box? Plot Data They can also be scalars, or two-dimensional (in that case, the WebThe Bode plot or the Bode diagram consists of two plots . The example below Does methalox fuel have a coking problem at all? plot('n', 'o', '', data=obj). The boxplot uses y0 and y1. figure (a matplotlib.figure.Figure instance). What differentiates living as mere roommates from living in a marriage-like relationship? example, to plot the above with red circles, you would issue. How to estimate the transfer function given only Bode Frist decide on a range of frequencies you want your plot to cover and input signal amplitude. Use MathJax to format equations. The following documentation page provides additional information on arguments. Remember that \(\omega = 2\pi f\). Creating Bode Plot from Experimental Data. frequencies are logarithmically spaced in an interval chosen to If matplotlib were limited to working with lists, it would be fairly 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. In matplotlib.pyplot various states are preserved Is there a generic term for these trajectories? I have a blackbox system in which I can input a function and obtain the output signal (in MATLAB). 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 Making statements based on opinion; back them up with references or personal experience. What was the actual cockpit layout and crew of the Mi-24A? converted to numpy arrays internally. it annoying that states (specifically the current image, figure and axes) For Learn more about Stack Overflow the company, and our products. Use MathJax to format equations. 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. To learn more, see our tips on writing great answers. From Difference Equation to Transfer Function, 5.4. functionality to make annotations easy. Other combinations such as [color][marker][line] are also Magnitude plot. Step 1: Open command manager (just type cmd in your windows start search bar) Step 2: Type the below command in the terminal. the interpretation: Array of frequencies (in rad/s). What were the poems other than those by Donne in the Melford Hall manuscript? Exception: If line is given, but no marker, function is: Copyright 2018-2022, Rein van den Boomgaard. access particular variables with strings. columns represent separate data sets). 1 - Please post your "Bode plot". @Ben I edited my question to include the phase plot. somehow i downloaded it earlier but dont know how i miss it. All plotting functions apply to the current variety of other coordinate systems one can choose -- see The following gives the current figure and plotting area, and the plotting K-means clustering and vector quantization (, Statistical functions for masked arrays (. plot('n', 'o', data=obj) It is also possible to add your own scale, see matplotlib.scale for It's a shortcut string but it returns a MIMO response. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. To compute the phase, hard limit the input and output and then XOR the result (multiply the two square waves). Q: How to read this bode plot to find transfer function? As an example I used the following RC filter and made AC sweep as follows: I set the type of sweep to decade and # 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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