Initial commit

.gitattributes

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+# Auto detect text files and perform LF normalization
+* text=auto

.ipynb_checkpoints/weatherAndTrends-checkpoint.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Google Trends and Australian Weather#\n",
+    "## Ewan Short ##\n",
+    "\n",
+    "Welcome to a Jupyter Notebook demontration of the `weatherAndTrends.py` module! This module has one function `loadDataAndPlot` which compares Google Trends data for a given state with Australian Bureau of Meteorology station data for the capital of that state. Trend data is provided on a weekly basis, and station data is resampled weekly. Extra smoothing can be applied to both data sets using a centred running mean. The function `loadDataAndPlot` first looks locally for data; if required data is not available it retrieves it online then saves it locally. \n",
+    "\n",
+    "`loadDataAndPlot` takes four arguments. \n",
+    "\n",
+    "1. `keyword` - The Google search keyword for which data is sought. This can be any string (default 'firewood'.) \n",
+    "2. `state` - the Australian state over which to perform the comparison. This can be 'VIC', 'TAS', 'QLD', 'ACT', 'NSW', 'NT', 'SA' or 'WA' (default 'VIC'.) \n",
+    "3. `weatherVar` - The weather variable to compare with. This can be 'rain', 'minTemp', 'maxTemp', 'minRH', 'maxRH' or 'wind' (default 'maxTemp'.)\n",
+    "4. `smooth` - Number of weeks to smooth data over. This can be any natural number (default 1, i.e no smoothing).\n",
+    "\n",
+    "It then plots time series, a scatter plot and a periodogram for each dataset. There are no outputs.   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from weatherAndTrends import loadDataAndPlot\n",
+    "\n",
+    "loadDataAndPlot('firewood', 'VIC', 'minTemp', 1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Also available is a script `weatherAndTrendsScript.py` which can be called from the unix terminal in the form"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::python\n",
+    "python weatherAndTrendsScript.py keyword state weatherVar smooth"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::python\n",
+    "import abc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

README.md

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+# google_trends_project

errorExample.py

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+import logging
+logging.basicConfig(level=logging.DEBUG)
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.close("all")
+
+plt.rc('text', usetex=True)
+
+#plt.rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
+## for Palatino and other serif fonts use:
+#rc('font',**{'family':'serif','serif':['Palatino']})
+plt.rc('text', usetex=True)
+
+x=np.arange(1,10)
+
+plt.plot(x,x)
+
+plt.xlabel("$\int_0^1 \sin(\\alpha)$")
+plt.show()