Add solutions

Author: Tania Allard

03_ProcessData.ipynb

@@ -8,7 +8,7 @@
     }
    },
    "source": [
-    "# Writing the code to perform the analysis\n",
+    "# Adding the code that performs the analysis\n",
     "\n",
     "Now for the real work- writing the code that will perform out analysis.\n",
     "\n",
@@ -22,17 +22,45 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "slideshow": {
+     "slide_type": "subslide"
+    }
+   },
    "source": [
     "Don't worry you do not have to generate all of the scripts... we have provided the bases for you to start working.\n",
-    "You should now have a directory called `SupportScripts`"
+    "You should now have a directory called `SupportScripts`\n",
+    "\n",
+    "You need to make sure that they are in the appropriate directory inside your newly created project.\n",
+    "- Noteboks\n",
+    "- src/data\n",
+    "- src/visualization\n",
+    "\n",
+    "Once this is done commit your changes to git\n",
+    "```bash\n",
+    "$ git add .\n",
+    "$ git commit -m \"Add processing scripts\"\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Documentation\n",
+    "\n",
+    "Documentation is an important part of a reproducible workflow.\n",
+    "\n",
+    "Take 5 minutes and identify which scripts/notebook have the best documentation. Why makes it a good documentation?\n",
+    "\n",
+    "A good point to start is checking the [Google Python style guidelines](https://google.github.io/styleguide/pyguide.html#Comments)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
-     "slide_type": "-"
+     "slide_type": "slide"
     }
    },
    "source": [
@@ -47,11 +75,11 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "![](./assets/dates_ISO.png)"
+   ]
   },
   {
    "cell_type": "code",

solutions/01_subset-data-GBP.py solutions/01_subset-data-GBP-Copy1.pysolutions/01_subset-data-GBP.py renamed to solutions/01_subset-data-GBP-Copy1.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python
+
+import sys
+import datetime
+
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+def process_data_GBP(filename):
+    """
+    Get only the needed subset from the data.
+    Args:
+    filename: str
+        Path to the filename containing the wine data
+
+    Returns:
+
+    data_path: st
+        Path to the created data set
+    """
+
+    # Load table
+    try:
+        wine = pd.read_csv(filename)
+    except IOError:
+        print('That file does not seem to exist')
+
+    # Subset of data to keep
+    wine_keep = wine.loc[:,['country', 'designation', 'points', 'price']]
+
+    # Add column with prices in GBP
+    wine_keep['price_GBP'] = wine_keep['price'].apply(lambda x : x * 1.2)
+
+    # Constructing the fname
+    today = datetime.datetime.today().strftime('%Y-%m-%d')
+    fname = f'data/interim/{today}-winemag_priceGBP.csv'
+
+    # Saving the csv
+    wine_keep.to_csv(fname)
+
+    return(fname)
+
+
+if __name__ == '__main__':
+    filename = sys.argv[1]
+    print(filename)
+    print(process_data_GBP(filename))

solutions/test01_subset-data-GBP.py

@@ -0,0 +1 @@
+#!/usr/bin/python