From fe704521e6cb4d7f32414b55044b6e2240524bf5 Mon Sep 17 00:00:00 2001
From: Alex Auvolat <alex.auvolat@ens.fr>
Date: Wed, 29 Apr 2015 19:09:37 -0400
Subject: Fix CSV import (partially)

---
 data.py | 35 +++++++++++++++++++++--------------
 1 file changed, 21 insertions(+), 14 deletions(-)

(limited to 'data.py')

diff --git a/data.py b/data.py
index d38df10..79b38c7 100644
--- a/data.py
+++ b/data.py
@@ -24,6 +24,11 @@ def get_client_id(n):
 porto_center = numpy.array([41.1573, -8.61612], dtype=theano.config.floatX)
 data_std = numpy.sqrt(numpy.array([0.00549598, 0.00333233], dtype=theano.config.floatX))
 
+n_clients = 57124 #57105
+n_stands = 63
+
+dataset_size = 1710670
+
 class CallType(Enum):
     CENTRAL = 0
     STAND = 1
@@ -126,26 +131,28 @@ class TaxiData(Dataset):
             return self.get_data(state)
 
         values = []
-        for idx, (_, constructor) in enumerate(self.columns):
-            values.append(constructor(line[idx]))
+        for _, constructor in self.columns:
+            values.append(constructor(line))
         return tuple(values)
 
 taxi_columns = [
-    ("trip_id", lambda x: x),
-    ("call_type", CallType.from_data),
-    ("origin_call", lambda x: 0 if x == '' or x == 'NA' else get_client_id(int(x))),
-    ("origin_stand", lambda x: 0 if x == '' or x == 'NA' else int(x)),
-    ("taxi_id", int),
-    ("timestamp", int),
-    ("day_type", DayType.from_data),
-    ("missing_data", lambda x: x[0] == 'T'),
-    ("polyline", lambda x: map(tuple, ast.literal_eval(x))),
+    ("trip_id", lambda l: l[0]),
+    ("call_type", lambda l: CallType.from_data(l[1])),
+    ("origin_call", lambda l: 0 if l[2] == '' or l[2] == 'NA' else get_client_id(int(l[2]))),
+    ("origin_stand", lambda l: 0 if l[3] == '' or l[3] == 'NA' else int(l[3])),
+    ("taxi_id", lambda l: int(l[4])),
+    ("timestamp", lambda l: int(l[5])),
+    ("day_type", lambda l: DayType.from_data(l[6])),
+    ("missing_data", lambda l: l[7][0] == 'T'),
+    ("polyline", lambda l: map(tuple, ast.literal_eval(l[8]))),
+    ("longitude", lambda l: map(lambda p: p[0], ast.literal_eval(l[8]))),
+    ("latitude", lambda l: map(lambda p: p[1], ast.literal_eval(l[8]))),
 ]
 
 taxi_columns_valid = taxi_columns + [
-    ("destination_x", float),
-    ("destination_y", float),
-    ("time", int),
+    ("destination_longitude", lambda l: float(l[9])),
+    ("destination_latitude", lambda l: float(l[10])),
+    ("time", lambda l: int(l[11])),
 ]
 
 train_files=["%s/split/train-%02d.csv" % (DATA_PATH, i) for i in range(100)]
-- 
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