PyResistorColorCode 1.0.0

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Description:

PyResistorColorCode 1.0.0

Overview
PyResistorColorCode is a Python module that provides some tools to manage IEC 60062 marking codes for
resistors.
The associated program resistor-decoder provides a graphical user interface to help user to
decode a resistor colour-coding using an inference algorithm. This feature is an enhancement
compared to a program like gresistor which is only a colour-coding calculator.
I started to develop this software a day where I had to sort a lot of unsorted resistors in a
jumble. Resistors colour-coding using no more than 3 bands (2 digits and a multiplier) are no too
difficult to decode when a person is experienced. But for more accurate resistors, it is more
tricky. Another difficulty arises when it is difficult to recognise the colour of a band, due to an
inappropriate colour contrast or tone. For strange colour-coding we can in last resort use an
Ohmmeter to measure the resistance value. But it doesn’t respond to the question what is the
specification of this resistor: tolerance, temperature coefficient, etc. For all theses reasons, I
developed an inference algorithm coupled to an graphical user interface to help user to decode
resistor colour-coding.


Inference Algorithm
The inference algorithm works as follow:

code orientation (left-right or right-left) doesn’t matter,
unset bands are not take into account,
at least 3 colours must be provided: 2 digits and the multiplier,
colour band are interpreted by priority as:



resistance value,
resistance tolerance,
temperature coefficient,



the resistance value must exists in a IEC 60063 series: E6, E12, E48, E96, E192,
the resistance tolerance must be defined if there is a colour band assigned to it.

When there is more than one hypothesis for the given input, the hypotheses are sorted by ascending
precision (series).


Where is the Documentation ?
The documentation is available on the PyResistorColorCode Home Page.


How to install it ?
Look at the installation section in the documentation.



Credits
Authors: Fabrice Salvaire

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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