From 735ecf692c48e0a966b96efc3ae58da5510ce285 Mon Sep 17 00:00:00 2001 From: Michaela Date: Tue, 16 Feb 2021 18:43:28 +1000 Subject: [PATCH] Update example to convert values to numbers --- examples/sondehub.ipynb | 198 ++++++++++++++++++++++++++++------------ 1 file changed, 139 insertions(+), 59 deletions(-) diff --git a/examples/sondehub.ipynb b/examples/sondehub.ipynb index de5470f..143c619 100644 --- a/examples/sondehub.ipynb +++ b/examples/sondehub.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "stuffed-projection", + "id": "agricultural-wellington", "metadata": {}, "source": [ "# Python Prerequisites\n", @@ -12,8 +12,8 @@ }, { "cell_type": "code", - "execution_count": 1, - "id": "accomplished-brick", + "execution_count": 5, + "id": "multiple-ribbon", "metadata": { "scrolled": true }, @@ -23,14 +23,22 @@ "output_type": "stream", "text": [ "Requirement already satisfied: sondehub in /usr/local/lib/python3.9/site-packages (0.1.7)\n", - "Requirement already satisfied: paho-mqtt<2.0.0,>=1.5.1 in /usr/local/lib/python3.9/site-packages (from sondehub) (1.5.1)\n", + "Collecting sondehub\n", + " Using cached sondehub-0.1.8-py3-none-any.whl (16 kB)\n", "Requirement already satisfied: boto3<2.0.0,>=1.14.44 in /usr/local/lib/python3.9/site-packages (from sondehub) (1.17.5)\n", + "Requirement already satisfied: paho-mqtt<2.0.0,>=1.5.1 in /usr/local/lib/python3.9/site-packages (from sondehub) (1.5.1)\n", "Requirement already satisfied: botocore<1.21.0,>=1.20.5 in /usr/local/lib/python3.9/site-packages (from boto3<2.0.0,>=1.14.44->sondehub) (1.20.5)\n", - "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /usr/local/lib/python3.9/site-packages (from boto3<2.0.0,>=1.14.44->sondehub) (0.3.4)\n", "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /usr/local/lib/python3.9/site-packages (from boto3<2.0.0,>=1.14.44->sondehub) (0.10.0)\n", + "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /usr/local/lib/python3.9/site-packages (from boto3<2.0.0,>=1.14.44->sondehub) (0.3.4)\n", "Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/local/lib/python3.9/site-packages (from botocore<1.21.0,>=1.20.5->boto3<2.0.0,>=1.14.44->sondehub) (2.8.1)\n", "Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/local/lib/python3.9/site-packages (from botocore<1.21.0,>=1.20.5->boto3<2.0.0,>=1.14.44->sondehub) (1.26.2)\n", "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.21.0,>=1.20.5->boto3<2.0.0,>=1.14.44->sondehub) (1.15.0)\n", + "Installing collected packages: sondehub\n", + " Attempting uninstall: sondehub\n", + " Found existing installation: sondehub 0.1.7\n", + " Uninstalling sondehub-0.1.7:\n", + " Successfully uninstalled sondehub-0.1.7\n", + "Successfully installed sondehub-0.1.8\n", "\u001b[33mWARNING: You are using pip version 20.3.3; however, version 21.0.1 is available.\n", "You should consider upgrading via the '/usr/local/opt/python@3.9/bin/python3.9 -m pip install --upgrade pip' command.\u001b[0m\n" ] @@ -39,12 +47,12 @@ "source": [ "# Install a pip package in the current Jupyter kernel\n", "import sys\n", - "!{sys.executable} -m pip install sondehub" + "!{sys.executable} -m pip install --upgrade sondehub" ] }, { "cell_type": "markdown", - "id": "wound-chancellor", + "id": "piano-parameter", "metadata": {}, "source": [ "# Imports\n", @@ -53,8 +61,8 @@ }, { "cell_type": "code", - "execution_count": 2, - "id": "confused-procurement", + "execution_count": 1, + "id": "canadian-collapse", "metadata": {}, "outputs": [], "source": [ @@ -71,7 +79,7 @@ }, { "cell_type": "markdown", - "id": "alpha-gabriel", + "id": "general-annotation", "metadata": {}, "source": [ "# Download data\n", @@ -82,8 +90,8 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "divided-bronze", + "execution_count": 60, + "id": "processed-winning", "metadata": {}, "outputs": [], "source": [ @@ -93,43 +101,43 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "ordered-connecticut", + "execution_count": 61, + "id": "local-vietnamese", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'datetime': '2021-02-09T22:30:39.001000Z',\n", + "{'datetime': '2021-02-09T22:30:33.001000Z',\n", " 'uploader_position': '-34.8137,138.7488',\n", " 'software_name': 'radiosonde_auto_rx',\n", " 'uploader_callsign': 'AREG_AUTO_RX',\n", - " 'alt': -4.25039,\n", - " 'lon': 138.52045,\n", - " 'vel_h': 0.13142,\n", + " 'alt': -4.83791,\n", + " 'lon': 138.52043,\n", + " 'vel_h': 0.77782,\n", " 'frequency': 401.501,\n", - " 'vel_v': 0.18256,\n", + " 'vel_v': 5e-05,\n", " 'manufacturer': 'Vaisala',\n", " 'batt': 3,\n", " 'software_version': '1.4.1-beta8',\n", " 'uploader_antenna': '6dBi Vertical',\n", " 'lat': -34.95243,\n", " 'subtype': 'RS41-SG',\n", - " 'snr': 10.1,\n", + " 'snr': 11.6,\n", " 'type': 'RS41',\n", " 'sats': 7,\n", - " 'heading': 331.42193,\n", - " 'frame': 1268,\n", + " 'heading': 291.15022,\n", + " 'frame': 1262,\n", " 'burst_timer': 65535,\n", - " 'time_received': '2021-02-09T22:30:23.122067Z',\n", + " 'time_received': '2021-02-09T22:30:17.135788Z',\n", " 'serial': 'S4620525',\n", " 'user-agent': 'autorx-1.4.1-beta8',\n", - " 'position': '-34.95243,138.52045',\n", - " 'upload_time_delta': -1.425171,\n", + " 'position': '-34.95243,138.52043',\n", + " 'upload_time_delta': -2.001443,\n", " 'uploader_alt': 420}" ] }, - "execution_count": 7, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -140,7 +148,7 @@ }, { "cell_type": "markdown", - "id": "outstanding-tradition", + "id": "double-insulation", "metadata": {}, "source": [ "# Parse data\n", @@ -151,44 +159,116 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "native-undergraduate", + "execution_count": 62, + "id": "married-founder", "metadata": {}, "outputs": [], "source": [ - "data = np.array(\n", - " [\n", - " [datetime.datetime.strptime(each['datetime'], \"%Y-%m-%dT%H:%M:%S.%fZ\"), each['alt'], each['snr'] if 'snr' in each else None, each['uploader_callsign'] if 'uploader_callsign' in each else None]\n", - " for each in radiosonde if each['uploader_callsign'] == 'AREG_AUTO_RX'\n", - " ]\n", - ")" + "data = np.array( [ [datetime.datetime.strptime(each['datetime'], \"%Y-%m-%dT%H:%M:%S.%fZ\"), each['alt'], each['snr'] if 'snr' in each else None, each['uploader_callsign'] if 'uploader_callsign' in each else None] for each in radiosonde if each['uploader_callsign'] == 'AREG_AUTO_RX' ] )" ] }, { "cell_type": "code", - "execution_count": 9, - "id": "casual-terrace", + "execution_count": 63, + "id": "level-conversation", + "metadata": {}, + "outputs": [], + "source": [ + "filtered = [\n", + " [\n", + " datetime.datetime.strptime(each['datetime'], \"%Y-%m-%dT%H:%M:%S.%fZ\"),\n", + " float(each['alt']),\n", + " float(each['snr']) if 'snr' in each else None,\n", + " each['uploader_callsign'] if 'uploader_callsign' in each else None\n", + " ]\n", + " for each in radiosonde\n", + " ]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "meaningful-herald", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[datetime.datetime(2021, 2, 9, 22, 30, 16, 1000), -6.80747, 7.8,\n", - " 'AREG_AUTO_RX'],\n", - " [datetime.datetime(2021, 2, 9, 22, 30, 18, 179618), '-4', None,\n", - " 'AREG_AUTO_RX'],\n", - " [datetime.datetime(2021, 2, 9, 22, 30, 28, 1000), -7.21371, 10.3,\n", - " 'AREG_AUTO_RX'],\n", - " ...,\n", - " [datetime.datetime(2021, 2, 10, 1, 29, 18), 1333.96621, 7.5,\n", - " 'AREG_AUTO_RX'],\n", - " [datetime.datetime(2021, 2, 10, 1, 29, 35, 160183), '1333', None,\n", - " 'AREG_AUTO_RX'],\n", - " [datetime.datetime(2021, 2, 10, 1, 29, 35, 160183), '1333', None,\n", - " 'AREG_AUTO_RX']], dtype=object)" + "array([datetime.datetime(2021, 2, 9, 22, 30, 33, 1000), -4.83791, 11.6,\n", + " 'AREG_AUTO_RX'], dtype=object)" ] }, - "execution_count": 9, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "weekly-charter", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[datetime.datetime(2021, 2, 9, 22, 30, 33, 1000), -4.83791, 11.6,\n", + " 'AREG_AUTO_RX'],\n", + " [datetime.datetime(2021, 2, 9, 22, 30, 29, 1000), -6.23293, 11.0,\n", + " 'AREG_AUTO_RX'],\n", + " [datetime.datetime(2021, 2, 9, 22, 30, 38, 1000), -4.91941, 9.4,\n", + " 'AREG_AUTO_RX'],\n", + " ...,\n", + " [datetime.datetime(2021, 2, 10, 4, 44, 0, 188437), 277.0, None,\n", + " 'VK5KJL_AUTO_RX'],\n", + " [datetime.datetime(2021, 2, 10, 4, 43, 30, 212890), 277.0, None,\n", + " 'VK5KJL_AUTO_RX'],\n", + " [datetime.datetime(2021, 2, 10, 1, 31, 0, 73080), 482.0, None,\n", + " 'VK5ST_AUTO_RX']], dtype=object)" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "data = np.array(\n", + " filtered\n", + ")\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "insured-probability", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[datetime.datetime(2021, 2, 15, 23, 17, 28, 754111), 759.0, None,\n", + " 'F6BYJ'],\n", + " [datetime.datetime(2021, 2, 15, 23, 18, 0, 148398), 916.0, None,\n", + " 'F6BYJ'],\n", + " [datetime.datetime(2021, 2, 15, 23, 18, 26, 819436), 1049.0, None,\n", + " 'F1JBB'],\n", + " ...,\n", + " [datetime.datetime(2021, 2, 16, 2, 1, 30, 157053), 1195.0, None,\n", + " 'F6BYJ'],\n", + " [datetime.datetime(2021, 2, 16, 2, 2, 30, 69061), 1036.0, None,\n", + " 'F6BYJ'],\n", + " [datetime.datetime(2021, 2, 16, 2, 3, 0, 177289), 965.0, None,\n", + " 'F6BYJ']], dtype=object)" + ] + }, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -200,7 +280,7 @@ }, { "cell_type": "markdown", - "id": "demographic-condition", + "id": "confused-mistake", "metadata": {}, "source": [ "# Graph the data" @@ -208,13 +288,13 @@ }, { "cell_type": "code", - "execution_count": 10, - "id": "casual-repository", + "execution_count": 57, + "id": "exciting-record", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -236,13 +316,13 @@ }, { "cell_type": "code", - "execution_count": 11, - "id": "north-glossary", + "execution_count": 59, + "id": "interpreted-contributor", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -276,7 +356,7 @@ { "cell_type": "code", "execution_count": null, - "id": "threaded-grill", + "id": "extended-aberdeen", "metadata": {}, "outputs": [], "source": []