Mailman 3 September 2020 - Matplotlib-users

Need assistance with inconsistent matplotlib plots from computer to computer...
by Anthony Billings Sept. 23, 2020

Sept. 23, 2020

I wrote a program that gathers data and plots it (y) over time (x). I use Python 3.7.7, with matplotlib 3.2.2, on Windows 10 Pro. I have compiled the program using pyinstaller, into an .exe and put it on additional computers to run. The program has worked properly on all computers, except an HP i5, running Windows 10. I've attached a picture of both graphs to help explain my problem... Good and Bad Graph<https://imgur.com/gallery/f08CiJZ>. The bad graph seems to display the data sporadically with long horizontal lines between data points. I have created a debug version that displays the data of the lists used for the x and y-axis and the lists are full with 80-110 values, so I know the data is being collected. It's just not displaying on the graph properly. I have tried uninstalling things and installing things, I have tweaked the priority in Task Manager, and I've tried running in SAFE mode to disable any extensions that may be interrupting in the background. Does anyone have ANY ideas or help? Thank you in advance! I have now tried installing Python 3.7.7 on the computer that displays the bad graph, and running the program directly from Python IDE and the display is still inaccurate. I'm at a total loss and would LOVE some help. Code snippet: def Laser_WaferScan(self, lst, display1, time_lst): """ Laser - WAFER SCAN PLOT """ waferScan = lst rpms = display1 # Displays the RPMs in plt.title waferScan_fullScan_time_lst = time_lst #### TESTING - Moved from main() 6.1.20 if gv.bandpass_yes == True: plt.subplot(3, 1, 1) else: plt.subplot(2, 1, 1) ########################################## # Dynamically setup graph axes using Plotting class waferScan_min_ylim, waferScan_max_ylim = self.Ylim(waferScan) plt.ylim(waferScan_min_ylim, waferScan_max_ylim) # Compare the last value added to the waferScan_fullScan_time_lst, and if it is greater than the current X-axis limit, make it the new X-axis limit if waferScan_fullScan_time_lst[-1] > gv.waferScan_max_xlim: gv.waferScan_max_xlim = waferScan_fullScan_time_lst[-1] plt.xlim(0, gv.waferScan_max_xlim) if gv.scan_name != None: # These conditional statements check to see which title should be used if gv.lowpass_yes == True: plt.title(f"{gv.scan_name}\nLowpass Filter Settings: N: {gv.lowpass_N} Wn: {gv.lowpass_Wn}\nRPMs = {rpms} Time to Scan = {round(gv.adjusted_time_to_scan,4)} sec", fontsize=12) else: plt.title(f"{gv.scan_name}\nRPMs = {rpms} Time to Scan = {round(gv.adjusted_time_to_scan,4)} sec", fontsize=12) else: if gv.lowpass_yes == True: plt.title(f"Lowpass Filter Settings: N: {gv.lowpass_N} Wn: {gv.lowpass_Wn}\nRPMs = {rpms} Time to Scan = {round(gv.adjusted_time_to_scan,4)} sec", fontsize=12) else: plt.title(f"RPMs = {rpms} Time to Scan = {round(gv.adjusted_time_to_scan,4)} sec", fontsize=12) plt.ylabel("Full Wafer Scan (volts)") plt.xlabel('Full Wafer Scan Time (milliseconds)', fontsize=10) plt.plot(waferScan_fullScan_time_lst, waferScan, label="Laser Readings", color='k') Email: ABillings(a)axustech.com<mailto:ABillings@axustech.com> 7001 West Erie Street Suite #1, Chandler, Arizona 85226 Phone: 480.705.8000 Direct Line: 480.240.5547 Website: www.axustech.com<http://www.axustech.com/> Surface Processing Technology for Semiconductors, III-V, and II-VI Materials, Advanced Packaging, TSV, MEMS, LED, Precision Optical, Photonics, Nanotechnology, and MicroMachining applications. We specialize in Legacy Equipment refurbishment, upgrading, modifications, repurposing, spare parts, and field support, and we OEM Gemini Slurry delivery systems, advanced wafer carriers, and robot-assisted polishers. We represent other OEMs including G&P Technologies and Trusval. We are the authorized sales, parts, service and support group for Gespac Controls and Moog Industrial Group products. Note: The information in this message and any attachments is confidential between the sender and the intended recipient. If you receive this message in error, please delete it immediately. Unauthorized use is strictly prohibited.

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symlog iffy when range max is below 1e0=1
by Liang Wang Sept. 23, 2020

Sept. 23, 2020

Hi, I have a problem using 'symlog' when the range maximum is below 1e0=1. Perhaps I'm misusing it, possibly the linthresh option. Example notebook: https://gist.github.com/liangwang0734/fde9a033c3d8788075589e2f9fd87f0c Sample code: import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt def test(start): linthresh = 10**(start+1) tmp = np.logspace(start, start + 3, 20) tmp = np.hstack((-tmp[::-1], tmp)) fig, ax = plt.subplots() ax.plot(tmp, marker='o') ax.set_yscale('symlog', linthresh=linthresh) ax1 = ax.twinx() ax1.plot(tmp, c='orange', ls='--') test(0) # OK, linear scale and symlog scale look different test(-3) # iffy, linear scale and symlog scale look the same [image: image.png] [image: image.png]

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[ANN] Matplotlib 3.3.2
by Elliott Sales de Andrade Sept. 16, 2020

Sept. 16, 2020

Hi all, We are pleased to announce the release of 3.3.2. This is the second bug fix release of the 3.3.x series. Pre-built wheels are available for most major platforms, and can be installed using `pip install matplotlib==3.3.2`. Other packages may also be available already; please check with your preferred source. The 3.3.2 release represents the work of 14 authors over 24 pull requests, and we thank them for their contributions. This release contains several critical bug-fixes: * fix |Axis| scale on twinned |Axes| * fix auto-close of |Figure|s in nbagg * fix automatic title placement if |Axes| is off the |Figure| * fix autoranging of log scales with barstacked histogram * fix extra redraws when using |Button| or |TextBox| widgets * fix imshow with |LogNorm| and large vmin/vmax ranges * fix plotting Pandas |DataFrame| with string |MultiIndex| * fix |scatter| with |marker=''| * fix |scatter3d| color/linewidth re-projection * fix state of mode buttons in TkAgg backends * include license files in built distribution * reduce Visual C++ runtime requirements on Windows For further details, please see the What's new in Matplotlib 3.3.2 page: https://matplotlib.org/3.3.2/users/whats_new.html and the milestone on GitHub: https://github.com/matplotlib/matplotlib/milestone/57?closed=1 This release is signed by my GPG key. The fingerprint is: 23CA B59E 3332 F94D 26BE F037 8D86 E7FA E5EB 0C10 and it is also used to sign this message.

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