Mailman 3 April 2020 - Matplotlib-users

subplots and xticklabels
by Kees Serier June 26, 2020

June 26, 2020

Hi, I have been making some graphs with multiple curves with Python 3.7.5 and Matplotlib 3.0.2. Now I want to plot 4 curves in 3 graphs with subplot. This works and the 3 graphs are plotted correctly, including the legends. Only I can't get my X values printed, like I did in my previous graphs with: labels = ax.get_xticklabels() plt.setp(labels, fontsize=6, rotation = 90.) My script is like: ax = plt.axes() name_list = tuple(X) pos_list = np.arange(len(name_list)) ax.xaxis.set_major_locator(ticker.FixedLocator((pos_list))) ax.xaxis.set_major_formatter(ticker.FixedFormatter((name_list))) grid_size = (3,1) fig = plt.figure() plt.subplot2grid(grid_size, (0, 0), rowspan = 1, colspan = 1) plt.plot(pos_list, value_list[0], label = "r/s") plt.plot(pos_list, value_list[1], label = "w/s") plt.title(plt_title) plt.legend(loc = 'lower left', fontsize=6) plt.grid(True) #plt.setp(labels, visible=False) # does not work plt.subplot2grid(grid_size, (1, 0), rowspan = 1, colspan = 1) plt.plot(pos_list, value_list[2], label = "blks/s (kB)") plt.legend(loc = 'lower left', fontsize=6) plt.grid(True) #plt.setp(labels, visible=False) # does not work plt.subplot2grid(grid_size, (2, 0), rowspan = 1, colspan = 1) plt.plot(pos_list, value_list[3], label = "avser (ms)") plt.legend(loc = 'lower left', fontsize=6) labels = ax.get_xticklabels() plt.setp(labels, fontsize=6, rotation = 90.) fig.subplots_adjust(hspace=0) plt.grid(True) plt.show() I have tried a lot of things, but can't get it working. Thank you in advance, Kees

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Third Y axis is like cryptonite to pyplot.
by Andre June 26, 2020

June 26, 2020

I modified https://matplotlib.org/3.2.1/gallery/ticks_and_spines/multiple_yaxis_with_s… to have a fourth data-set: https://gist.github.com/AndKe/c0c999a22a8daebafb62171b671bf131 With the offset of "1.35" par3.spines["right"].set_position(("axes", 1.35)) One can get a glimpse of that, any less, and it will overlap, and more it will be invisible. changing "right" to "left" does nothing. Also, the resulting spines placement does vary with the width of the window. - wasting more space the wider the window gets. -- Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html

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Logarithmic scale in 3D surface
by Hedy BOUJELBEN June 26, 2020

June 26, 2020

Hello, I'm mechanical student and i'm using python for a project I don't find the logarithmic scale in python for 3D graphs can you help me please ?

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Arc and art3d.pathpatch_2d_to_3d
by Andreas Schneider April 22, 2020

April 22, 2020

Hi, I'm trying to plot an arc in a 3d plot using patches.Arc and art3d.pathpatch_2d_to_3d. However, although the arc is correctly shown from theta1 to theta2 in a 2d plot, the 3d plot always shows the full circle. Here is a minimal example: from matplotlib import pyplot as plt from matplotlib import patches from mpl_toolkits.mplot3d import art3d fig = plt.figure() ax = fig.add_subplot(111, projection='3d') p = patches.Arc((0, 0), 0.5, 0.5, angle=0., theta1=0., theta2=45.) ax.add_patch(p) art3d.pathpatch_2d_to_3d(p, z=0, zdir="y") plt.show() I get a whole circle but want to have an arc only from 0 degrees to 45 degrees. A corresponding 2d plot shows the arc correctly: fig = plt.figure() ax = fig.add_subplot(111) p = patches.Arc((0, 0), 0.5, 0.5, angle=0., theta1=0., theta2=45.) ax.add_patch(p) plt.show() What am I doing wrong with the conversion from 2d to 3d? I tried Python 3.7.3 with Matplotlib 3.0.2 and Python 2.7.16 with Matplotlib 2.2.3 (which are shipped with my Linux distribution). Thanks in advance for your help. Andreas

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import problems matplotlib.transforms, matplotlib.numerix
by Izabel Cvetković April 22, 2020

April 22, 2020

Hi all, I am having troubles importing from matplotlib.transforms, specifically the Value and Point methods. Other than that I cannot import matplotlib.numerix, the error message is: no module named 'matplotlib.numerix'. Now, I assume that this has to do with the matplotlib version, as I am using the latest version, and when I checked, there are indeed no 'Value' and 'Point' methods in the transforms module. Does anyone know how this changed with versions and which version should I use to successfully import these modules? Best wishes; Izabel

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continuous plotting with mplot3d
by Bret Foreman April 15, 2020

April 15, 2020

I'm using Python 2.7 on Windows 10 in a Jupyter Notebook. I have an external orientation sensor on a USB port. I want to periodically poll that sensor at around 10Hz and update the orientation of a figure on the screen with each new sample. The sensor returns a quaternion when polled which I convert to a rotation matrix to rotate a 3D image array. This all works fine. My problem is getting mplot3d to update the displayed image dynamically after each orientation sample. All I can get is a plot at the end of the run, nothing updates while I'm sampling. How can I change this code to plot dynamically? Here's my code: *import serial.tools.list_ports # import serial moduleimport threespace_api_mod_Bret as ts_apiimport numpy as npimport quaternionimport matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3Dimport timedef pack_quat_3space_array( array ): return np.quaternion( array[3] , array[0] , array[1] , array[2] )class SensorAnimation( object ): def __init__(self,commport): # Create 3D axis self.fig = plt.figure() self.ax <http://self.ax> = self.fig.add_subplot(111, projection='3d') # Initialize the 3space sensor self.sensor = ts_api.TSUSBSensor(commport) #create the 3d image to rotate zline = np.linspace(0, 15, 1000) xline = np.sin(zline) yline = np.cos(zline) # Put the 3d data into an array for rotation self.image_array = np.array([xline,yline,zline]) # Draw the initial image self.ax.plot3D(xline, yline, zline, 'red') # plt.show(block=False) def RefreshPosition( self , previous ): if self.sensor is not None: rot_matrix = quaternion.as_rotation_matrix(pack_quat_3space_array(sensor.getTaredOrientationAsQuaternion())) result = np.dot(rot_matrix,self.image_array) if previous is not None: try: plt.cla() except Exception as e: print(e) previous = self.ax.plot3D(result[0], result[1], result[2], 'green') # plt.pause(0.00001) return previous def Close( self ): if self.sensor is not None: self.sensor.close()try: # Set up animation object sanimate = SensorAnimation("COM5") previous = None for i in range(20): previous = sanimate.RefreshPosition( previous ) time.sleep(0.1) sanimate.Close()* -- Bret Foreman 415-608-0604

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Connect plot in Contourf when there are missing values(nan)
by apu April 4, 2020

April 4, 2020

I am plotting x, y, z values using contourf plots. However I have some missing z values (nan). All these regions are shown as blanks and the graph looks diconnected. Is there a way for the plot to have connected gaps? Plotly has an option to connect gaps with smooth transitions? https://plot.ly/python/contour-plots/#connect-the-gaps-between-none-values-… Do we have an equivalent of this in matlotlib contourf plots? -- Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html

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scatter c=colors seems confusing and inconsistent
by Neal Becker April 3, 2020

April 3, 2020

For 2d scatter, I can pass 2d arrays as X and Y. But it seems not c=. Here is a demonstration: ------------ import matplotlib.pyplot as plt import numpy as np A = np.array import colorcet as cc cmap = cc.m_rainbow x = A([[0,.25], [0.5, 0.75]]) y = x**2 colors = np.empty (x.shape, dtype=object) for i in range(2): for j in range(2): colors[i,j] = cmap(x[i,j]) plt.scatter (x, y, c=colors.flatten()) -------------- Without colors.flatten(), mpl will give an error. It seems to be OK with X and Y being 2D, but not c. In this example I have given c as a 2d array of objects, each object being an RGBA tuple. Is there an easier way? Preferably one that doesn't require me to specifically allocate an empty array of objects and then populate it with an explicit loop?

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position of level label.
by Piter_ April 2, 2020

April 2, 2020

Hi everyone. Is it possible to set position of level labels in contour plot? https://matplotlib.org/3.1.0/gallery/images_contours_and_fields/contour_lab… Thanks. Petro.

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Adding 2 Data Array's Math Operation
by Benson, Randall April 1, 2020

April 1, 2020

Hi - I'm struggling to figure out why I am not receiving the result from trying to add 2 unique but with same shape DataArrays that look like this below: <xarray.DataArray 'stack-1eae019110cce9444c8807bfd58d45fb' (variable: 1, lat: 73, lon: 144)> dask.array<pow, shape=(1, 73, 144), dtype=float32, chunksize=(1, 73, 144), chunktype=numpy.ndarray> Coordinates: * lat (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0 * lon (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5 month int64 2 * variable (variable) <U4 'uwnd' Doing this in my code --- > speedc = np.sqrt(uwindc*uwindc+vwindc*vwindc) Gives me an empty (when I try speedc.plot()) variable that looks like this below: speedc Out[219]: <xarray.DataArray (variable: 0, lat: 73, lon: 144)> dask.array<sqrt, shape=(0, 73, 144), dtype=float32, chunksize=(0, 73, 144), chunktype=numpy.ndarray> Coordinates: * variable (variable) object * lat (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0 * lon (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5 month int64 2 Thank you for any help that you can provide after I've exhausted my search (I must be missing something). Randall [Description: cid:image001.jpg@01D34737.23261CB0] Randall P. Benson, PhD Wind Asset Meteorologist, Energy Resource - Onshore 1125 NW Couch Street, Suite 700 Portland, Oregon, USA 97209 Telephone 503-796-7129 Cell 971-227-2477 randall.benson(a)avangrid.com<mailto:randall.benson@avangrid.com> [Description: cid:image002.png@01D34737.23261CB0] In the interest of the environment, please print only if necessary and recycle. ============================================================== Please consider the environment before printing this email. If you have received this message in error, please notify the sender and immediately delete this message and any attachment hereto and/or copy hereof, as such message contains confidential information intended solely for the individual or entity to whom it is addressed. The use or disclosure of such information to third parties is prohibited by law and may give rise to civil or criminal liability. The views presented in this message are solely those of the author(s) and do not necessarily represent the opinion of Avangrid Renewables, LLC. or any company of its group. Neither Avangrid Renewables, LLC. nor any company of its group guarantees the integrity, security or proper receipt of this message. Likewise, neither Avangrid Renewables, LLC. nor any company of its group accepts any liability whatsoever for any possible damages arising from, or in connection with, data interception, software viruses or manipulation by third parties. ==============================================================

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