kopia lustrzana https://github.com/peterhinch/micropython-nano-gui
Add plot images.
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README.md
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README.md
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@ -5,14 +5,18 @@ currently for color and monochrome OLED displays. This is coincidental.
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These images don't do justice to the OLED displays which are visually
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impressive with bright colors and extreme contrast. For some reason they are
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quite hard to photograph.
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![Image](images/IMG_2885.png)
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One of the demos running on an Adafruit 1.27 inch OLED. The colors change
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dynamically with low values showing green, intermediate yellow and high red. In
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reality the colors are vivid: the right hand meter bar and LED are a brilliant
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yellow and the centre one is vivid green.
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![Image](images/clock.png) The aclock.py demo.
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![Image](images/fonts.png) Label objects in two fonts.
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![Image](images/meters.png)
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One of the demos running on an Adafruit 1.27 inch OLED. The colors change
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dynamically with low values showing green, intermediate yellow and high red.
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![Image](images/alevel.png)
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The alevel.py demo. The Pyboard was mounted vertically: the length and angle
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of the vector arrow varies as the Pyboard is moved.
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![Image](images/IMG_2887.png)
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The Dial object.
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There is an optional [graph plotting module](./plot/FPLOT.md) for basic
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Cartesian and polar plots, also realtime plotting including time series.
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@ -9,8 +9,14 @@ This was ported from the
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[lcd160cr-gui library](https://github.com/peterhinch/micropython-lcd160cr-gui).
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Like `nanogui.py` it uses synchronous code.
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Please excuse the photography: they look much better than in the pictures. In
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particular the effect at the top left corner is an artifact of my efforts at
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post processing.
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![Image](images/cartesian.png) Classic Cartesian plot.
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![Image](images/polar.png) Classic Cartesian plot.
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![Image](images/discont.png) Plot of discontinuous data.
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![Image](images/lissajous.png) A Lissajous figure.
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@ -19,6 +25,8 @@ Like `nanogui.py` it uses synchronous code.
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![Image](images/rtpolar.png) Still from realtime simulation of acquisition of polar data.
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![Image](images/bernoulli.png) The lemniscate of Bernoulli.
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# Contents
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1. [Python files](./FPLOT.md#1-python-files)
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