VR001 Mide Technology Corporation, VR001 Datasheet - Page 9

• Manufacturer Part Number: VR001
• Description: VIBRATION DATA LOGGER
• Manufacturer: Mide Technology Corporation
• Series: Slam Stick™, Volture™r

Specifications of VR001

• Featured Product: Slam Stick™ Vibration Recorder
• Accessory Type: Vibration Characterization Device
• Lead Free Status / Rohs Status: Lead free by exemption / RoHS compliant by exemption
• For Use With/related Products: Volture™ Vibration Energy Harvesters
• For Use With: V25W - PIEZOELECTRIC ENERGY HARVESTERV20W - PIEZOELECTRIC ENERGY HARVESTERV21BL - PIEZOELECTRIC ENERGY HARVESTERV21B - PIEZOELECTRIC ENERGY HARVESTERV22BL - PIEZOELECTRIC ENERGY HARVESTERV22B - PIEZOELECTRIC ENERGY HARVESTER

PYTHON GRAPHIC UI
USING AND CUSTOMIZING SLAM STICK VIEWER
(PYTHON SOURCE)
Executing
To run the Slam Stick Viewer GUI standalone, run slamview.py without any arguments.
Reading and Writing Files
Slam Stick file read and write functions are provided by ss_read.py, and can be called from an
external script (requires NumPy).
ss_reader(parent=None, filename=None, recording_num=None)
Reads a vibration file in Slam Stick native, Slam Stick ‘split’, or CSV format (depending on file
extension). parent is the parent Tk window (if any). If no filename was provided, a file selection
dialog will first be spawned. If a Slam Stick file contains multiple recordings and recording_num
is not specified, a selection dialog will be spawned.
Returns a tuple consisting of (datalist, fActual, recording_time_actual), where
datalist is a 4‐by‐n NumPy array consisting of t, X, Y, Z; fActual is the exact sampling
frequency, and recording_time_actual is the exact elapsed time of the recording.
ss_writer(parent=None,
filename=None,
theData=None,
heading=None,
dialect='excel')
Writes a .CSV file consisting of the contents of theData, a list or NumPy array containing the
numeric data to write. parent is the parent Tk window (if any). If no filename was provided, a
file selection dialog will first be spawned. Please refer to the Python ‘csv’ module documentation
for details.
Adding custom plots
A generic plotting class is available in ssplot.py; each of the builtin plot types is a subclass of
ssplot. Each ssplot object expects an instance of ‘notebook’ (notebook.py, providing a
simple tabbed interface) as an input argument, and will add its plot and corresponding name to
the notebook.
Its main methods are:
Constructor (__init__) - Creates a Tk frame to hold the plot and its controls. Creates a
matplotlib Figure, axes (subplot), drawing canvas and matplotlib toolbar, and adds itself to the
notebook. Calls set_plot_type, create_line_controls, create_axis_controls.
set_plot_type(self) – Sets the appropriate plot title and axis labels, plus any plot‐specific
options required by the subclass (for example, a default windowing function for FFT plots).
Returns an appropriate tab name for this plot in the notebook.
create_line_controls(self) – Create plot‐specific plot (line) controls. The default
create_line_controls, for line plots, creates checkboxes to show or hide each line. For other plot
types, this method should be overridden.
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Python Graphing UI
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Version 1.1
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Slam Stick High Speed Portable Data Logger
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www.mide.com