/Modules/Sensors/ALTIMET01A/SW/Python/ALTIMET_test.ipynb
1,6 → 1,6
{
"metadata": {
"name": "ALTIMET_test"
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
35,15 → 35,12
"output_type": "stream",
"stream": "stdout",
"text": [
"i2c-0\tsmbus \tCP2112 SMBus Bridge on hiddev0 \tSMBus adapter\r\n",
"i2c-1\ti2c \ti2c-tiny-usb at bus 001 device 007\tI2C adapter\r\n",
"i2c-2\ti2c \ti915 gmbus ssc \tI2C adapter\r\n",
"i2c-3\ti2c \ti915 gmbus vga \tI2C adapter\r\n",
"i2c-4\ti2c \ti915 gmbus panel \tI2C adapter\r\n",
"i2c-5\ti2c \ti915 gmbus dpc \tI2C adapter\r\n",
"i2c-6\ti2c \ti915 gmbus dpb \tI2C adapter\r\n",
"i2c-7\ti2c \ti915 gmbus dpd \tI2C adapter\r\n",
"i2c-8\ti2c \tDPDDC-B \tI2C adapter\r\n"
"i2c-5\ti2c \ti2c-tiny-usb at bus 002 device 008\tI2C adapter\r\n",
"i2c-0\ti2c \tintel drm CRTDDC_A \tI2C adapter\r\n",
"i2c-1\ti2c \tintel drm LVDSBLC_B \tI2C adapter\r\n",
"i2c-2\ti2c \tintel drm LVDSDDC_C \tI2C adapter\r\n",
"i2c-3\ti2c \tintel drm HDMIB \tI2C adapter\r\n",
"i2c-4\ti2c \tDPDDC-B \tI2C adapter\r\n"
]
}
],
76,7 → 73,7
"cell_type": "code",
"collapsed": false,
"input": [
"port = 1"
"port = 5"
],
"language": "python",
"metadata": {},
97,7 → 94,6
"import time\n",
"import datetime\n",
"import sys\n",
"import serial\n",
"\n",
"from pymlab import config\n",
"import matplotlib.pyplot as plt\n",
185,8 → 181,8
"output_type": "stream",
"stream": "stdout",
"text": [
"(0, 22.625, 94868.25)\n",
"(1, 22.625, 94868.25)"
"(0, 22.0, 96976.25)\n",
"(1, 22.0, 96978.0)"
]
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{
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"stream": "stdout",
"text": [
"\n",
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"(2, 22.0, 96978.0)"
]
},
{
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"stream": "stdout",
"text": [
"\n",
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]
},
{
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"stream": "stdout",
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"\n",
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]
},
{
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"stream": "stdout",
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"\n",
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]
},
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"stream": "stdout",
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"\n",
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]
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{
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"stream": "stdout",
"text": [
"\n",
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"(7, 22.0, 96976.25)"
]
},
{
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"stream": "stdout",
"text": [
"\n",
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]
},
{
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"stream": "stdout",
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"\n",
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]
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{
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"stream": "stdout",
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]
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{
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"stream": "stdout",
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"\n",
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]
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"stream": "stdout",
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"\n",
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]
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"\n",
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]
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]
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]
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]
},
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"\n",
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]
},
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"\n",
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{
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]
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"\n",
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},
{
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"\n",
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]
},
{
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"\n",
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"(27, 22.0, 96978.5)"
]
},
{
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"\n",
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]
},
{
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"\n",
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]
},
{
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"\n",
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{
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"\n",
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]
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{
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{
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450,7 → 446,7
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"\n",
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]
},
{
458,7 → 454,7
"stream": "stdout",
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"\n",
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]
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"\n",
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]
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]
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"\n",
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]
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{
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"\n",
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]
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{
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"\n",
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]
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{
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"stream": "stdout",
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"\n",
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"(42, 22.0, 96980.75)"
]
},
{
522,7 → 518,7
"stream": "stdout",
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"\n",
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]
},
{
530,7 → 526,7
"stream": "stdout",
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"\n",
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]
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{
538,7 → 534,7
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"\n",
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]
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{
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"stream": "stdout",
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"\n",
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"(46, 22.0, 96974.25)"
]
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{
554,7 → 550,7
"stream": "stdout",
"text": [
"\n",
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]
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{
562,7 → 558,7
"stream": "stdout",
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"\n",
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{
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"\n",
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{
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"\n",
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]
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{
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"\n",
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]
},
{
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"stream": "stdout",
"text": [
"\n",
"(52, 22.5625, 94868.5)"
"(52, 22.0, 96976.25)"
]
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{
602,7 → 598,7
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"\n",
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]
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{
610,7 → 606,7
"stream": "stdout",
"text": [
"\n",
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]
},
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618,7 → 614,7
"stream": "stdout",
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"\n",
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]
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"\n",
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]
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{
634,7 → 630,7
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"\n",
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]
},
{
642,7 → 638,7
"stream": "stdout",
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"\n",
"(58, 22.5625, 94868.25)"
"(58, 22.0, 96978.0)"
]
},
{
650,7 → 646,7
"stream": "stdout",
"text": [
"\n",
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"(59, 22.0, 96978.0)"
]
},
{
658,7 → 654,7
"stream": "stdout",
"text": [
"\n",
"(60, 22.5625, 94866.75)"
"(60, 22.0, 96978.0)"
]
},
{
666,7 → 662,7
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"\n",
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]
},
{
674,7 → 670,7
"stream": "stdout",
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"\n",
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]
},
{
682,7 → 678,7
"stream": "stdout",
"text": [
"\n",
"(63, 22.5625, 94864.25)"
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]
},
{
690,7 → 686,7
"stream": "stdout",
"text": [
"\n",
"(64, 22.5625, 94864.25)"
"(64, 22.0, 96980.0)"
]
},
{
698,7 → 694,7
"stream": "stdout",
"text": [
"\n",
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]
},
{
706,7 → 702,7
"stream": "stdout",
"text": [
"\n",
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]
},
{
714,7 → 710,7
"stream": "stdout",
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"\n",
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]
},
{
722,7 → 718,7
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"\n",
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]
},
{
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"\n",
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]
},
{
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"\n",
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]
},
{
746,7 → 742,7
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},
{
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762,7 → 758,7
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770,7 → 766,7
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"\n",
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},
{
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"\n",
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]
},
{
786,7 → 782,7
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]
},
{
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]
},
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]
},
{
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{
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{
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},
{
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},
{
962,7 → 958,7
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"text": [
"\n",
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]
},
{
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"stream": "stdout",
"text": [
"\n",
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]
},
{
981,7 → 977,7
]
}
],
"prompt_number": 21
"prompt_number": 6
},
{
"cell_type": "code",
1005,14 → 1001,15
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 23,
"prompt_number": 7,
"text": [
"94864.0"
"96972.25"
]
}
],
"prompt_number": 23
"prompt_number": 7
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{
"cell_type": "code",
1024,14 → 1021,15
"metadata": {},
"outputs": [
{
"metadata": {},
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"prompt_number": 24,
"prompt_number": 8,
"text": [
"94874.5"
"96838.75"
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}
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"prompt_number": 24
"prompt_number": 8
},
{
"cell_type": "code",
1043,14 → 1041,15
"metadata": {},
"outputs": [
{
"metadata": {},
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"prompt_number": 25,
"prompt_number": 9,
"text": [
"2.1005044037087854"
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"prompt_number": 25
"prompt_number": 9
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{
"cell_type": "code",
1062,18 → 1061,23
"metadata": {},
"outputs": [
{
"metadata": {},
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"prompt_number": 26,
"prompt_number": 9,
"text": [
"[<matplotlib.lines.Line2D at 0x396eed0>]"
"[<matplotlib.lines.Line2D at 0xa00bb2c>]"
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},
{
"metadata": {},
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9XbqkLJrs6XFO5KK5GWvXrsXrr7+OqKgo5ObmYtOmTYiPjw96j5hD14rXyw5s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\ngQSdIAjCJZCgEwRBuAQSdIIgCJfw/31tYjp3QHiTAAAAAElFTkSuQmCC\n"
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lM5Md3A0Nxt5nV+TiJkE3WuEC2OPQ4+OZiFlxL1gRtchFa0yC0w5dPvhK3Ffk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\n3AENN2mnAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x9eb46cc>"
]
}
],
"prompt_number": 26
"prompt_number": 9
},
{
"cell_type": "code",
1085,18 → 1089,23
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 27,
"prompt_number": 11,
"text": [
"[<matplotlib.lines.Line2D at 0x399a4d0>]"
"[<matplotlib.lines.Line2D at 0x9ee51ec>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x9d764cc>"
]
}
],
"prompt_number": 27
"prompt_number": 11
},
{
"cell_type": "code",