Adds Chicago Bike Demo

docs/source/examples/demo/chicago_bike/__init__.py

@@ -0,0 +1,17 @@
+from demo import PWD
+from pandas import read_csv
+from os.path import join
+
+PWD = join(PWD, 'chicago_bike')
+
+
+def _read(file):
+    return read_csv(
+        join(PWD, file),
+        parse_dates=['starttime', 'stoptime'],
+        index_col='trip_id',
+    )
+
+
+def load_sample():
+    return _read('sample.csv')

docs/source/examples/demo/next_purchase/__init__.py

@@ -9,7 +9,7 @@
 PWD = os.path.join(PWD, 'next_purchase')
 
 
-def add_time(df, start='2015-01-01'):
+def _add_time(df, start='2015-01-01'):
     def timedelta(value, string):
         return pd.Timedelta(string.format(value))
 
@@ -39,7 +39,7 @@ def process_orders(user):
     return df
 
 
-def load_data(nrows=1000000):
+def _data(nrows=1000000):
     output = os.path.join(PWD, 'download')
     path = os.path.join(output, 'instacart_2017_05_01')
     if not os.path.exists(path): utils.download(URL, output)
@@ -54,11 +54,15 @@ def load_data(nrows=1000000):
     orders = pd.read_csv(file, nrows=nrows)
 
     df = order_products.merge(products).merge(departments).merge(orders)
-    df = df.pipe(add_time)
+    df = df.pipe(_add_time)
     return df
 
 
-def load_sample():
-    path = os.path.join(PWD, 'sample.csv')
+def _read(file):
+    path = os.path.join(PWD, file)
     df = pd.read_csv(path, parse_dates=['order_time'], index_col='id')
     return df
+
+
+def load_sample():
+    return _read('sample.csv')

docs/source/examples/demo/turbofan_degredation/__init__.py

@@ -6,14 +6,14 @@
 PWD = os.path.dirname(__file__)
 
 
-def download_data():
+def _download_data():
     output = os.path.join(PWD, 'download')
     utils.download(URL, output)
 
 
-def load_data():
+def _data():
     path = os.path.join(PWD, 'download', 'train_FD004.txt')
-    if not os.path.exists(path): download_data()
+    if not os.path.exists(path): _download_data()
     cols = ['engine_no', 'time_in_cycles']
     cols += ['operational_setting_{}'.format(i + 1) for i in range(3)]
     cols += ['sensor_measurement_{}'.format(i + 1) for i in range(26)]
@@ -23,7 +23,11 @@ def load_data():
     return df
 
 
-def load_sample():
-    path = os.path.join(PWD, 'sample.csv')
+def _read(file):
+    path = os.path.join(PWD, file)
     df = pd.read_csv(path, parse_dates=['time'], index_col='id')
     return df
+
+
+def load_sample():
+    return _read('sample.csv')