commit try again number 3

Notebooks/Untitled.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

Notebooks/sb_utils.py

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+import pandas as pd
+import os
+import pickle
+
+
+# This utility was created because students were getting confused when they ran 
+# their notebooks twice, the previous write-to-file code would do nothing and say  
+# nothing. The students thought the file was over-written when in fact, it was not -
+# generating hidden bugs in subsequent notebooks.
+
+def save_file(data, fname, dname):
+    """Save a datafile (data) to a specific location (dname) and filename (fname)
+
+    Currently valid formats are limited to CSV or PKL."""
+
+    if not os.path.exists(dname):
+        os.mkdir(dname)
+        print(f'Directory {dname} was created.')
+
+    fpath = os.path.join(dname, fname)
+
+
+    if os.path.exists(fpath):
+        print("A file already exists with this name.\n")
+
+        yesno = None
+        while yesno != "Y" and yesno != "N":
+            yesno = input('Do you want to overwrite? (Y/N)').strip()[0].capitalize()
+            if yesno == "Y":
+                print(f'Writing file.  "{fpath}"')
+                _save_file(data, fpath)
+                break  # Not required
+            elif yesno == "N":
+                print('\nPlease re-run this cell with a new filename.')
+                break  # Not required
+            else:
+                print('\nUnknown input, please enter "Y" or "N".')
+
+    else:  # path does not exist, ok to save the file
+        print(f'Writing file.  "{fpath}"')
+        _save_file(data, fpath)
+
+
+
+
+
+
+def _save_file(data, fpath):
+    valid_ftypes = ['.csv', '.pkl']
+
+    assert (fpath[-4:] in valid_ftypes), "Invalid file type.  Use '.csv' or '.pkl'"
+
+    # Figure out what kind of file we're dealing with by name
+    if fpath[-3:] == 'csv':
+        data.to_csv(fpath, index=False)
+    elif fpath[-3:] == 'pkl':
+        with open(fpath, 'wb') as f:
+            pickle.dump(data, f)
+

data/state_summary.csv

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+state,resorts_per_state,state_total_skiable_area_ac,state_total_days_open,state_total_terrain_parks,state_total_nightskiing_ac,state_population,state_area_sq_miles
+Alaska,3,2280.0,345.0,4.0,580.0,731545,665384
+Arizona,2,1577.0,237.0,6.0,80.0,7278717,113990
+California,21,25948.0,2738.0,81.0,587.0,39512223,163695
+Colorado,22,43682.0,3258.0,74.0,428.0,5758736,104094
+Connecticut,5,358.0,353.0,10.0,256.0,3565278,5543
+Idaho,12,16396.0,1136.0,27.0,415.0,1787065,83569
+Illinois,4,191.0,221.0,6.0,191.0,12671821,57914
+Indiana,2,165.0,157.0,4.0,165.0,6732219,36420
+Iowa,3,140.0,100.0,5.0,140.0,3155070,56273
+Maine,9,3216.0,865.0,17.0,388.0,1344212,35380
+Maryland,1,172.0,121.0,3.0,118.0,6045680,12406
+Massachusetts,11,1166.0,671.0,18.0,583.0,6892503,10554
+Michigan,28,4406.0,2389.0,63.0,1946.0,9986857,96714
+Minnesota,14,1560.0,1490.0,29.0,1020.0,5639632,86936
+Missouri,2,60.0,69.0,2.0,47.0,6137428,69707
+Montana,12,21410.0,951.0,27.0,710.0,1068778,147040
+Nevada,4,2110.0,415.0,9.0,0.0,3080156,110572
+New Hampshire,16,3427.0,1847.0,43.0,376.0,1359711,9349
+New Jersey,2,190.0,170.0,4.0,181.0,8882190,8723
+New Mexico,9,5223.0,966.0,18.0,50.0,2096829,121590
+New York,33,5514.0,2384.0,72.0,2836.0,19453561,54555
+North Carolina,6,370.0,506.0,9.0,335.0,10488084,53819
+Ohio,5,421.0,489.0,12.0,421.0,11689100,44826
+Oregon,10,11774.0,1180.0,22.0,1127.0,4217737,98379
+Pennsylvania,19,1888.0,1404.0,47.0,1528.0,12801989,46054
+Rhode Island,1,30.0,100.0,1.0,30.0,1059361,1545
+South Dakota,2,950.0,183.0,3.0,0.0,884659,77116
+Tennessee,1,0.0,83.0,1.0,0.0,6829174,42144
+Utah,13,30508.0,1544.0,26.0,642.0,3205958,84897
+Vermont,15,7239.0,1777.0,50.0,50.0,623989,9616
+Virginia,4,269.0,366.0,4.0,135.0,8535519,42775
+Washington,10,15330.0,1022.0,21.0,1997.0,7614893,71298
+West Virginia,4,542.0,342.0,9.0,187.0,1792147,24230
+Wisconsin,15,1750.0,1519.0,40.0,1065.0,5822434,65496
+Wyoming,8,6523.0,716.0,14.0,110.0,578759,97813