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authorAdeB <adbrebs@gmail.com>2015-07-16 10:36:11 -0400
committerAdeB <adbrebs@gmail.com>2015-07-16 10:36:11 -0400
commit404250df425df4f89d9edfe2357fc0cb7b8b77e6 (patch)
tree96da63912cf3bd387af369040e47dbec3a2cdff1 /data_analysis/maps.py
parentfc59592e58412f70ad3b3d47dc3732e7be6dc0c4 (diff)
downloadtaxi-404250df425df4f89d9edfe2357fc0cb7b8b77e6.tar.gz
taxi-404250df425df4f89d9edfe2357fc0cb7b8b77e6.zip
Update the heatmap script.
Diffstat (limited to 'data_analysis/maps.py')
-rw-r--r--data_analysis/maps.py22
1 files changed, 15 insertions, 7 deletions
diff --git a/data_analysis/maps.py b/data_analysis/maps.py
index 991f279..e951f23 100644
--- a/data_analysis/maps.py
+++ b/data_analysis/maps.py
@@ -1,13 +1,17 @@
import cPickle
-import scipy
import numpy as np
import matplotlib.pyplot as plt
+from fuel.schemes import ConstantScheme
+from fuel.streams import DataStream
+
import data
+from data.hdf5 import TaxiDataset, TaxiStream
def compute_number_coordinates():
- train_it = data.train_it()
+ stream = TaxiDataset('train').get_example_stream()
+ train_it = stream.get_epoch_iterator()
# Count the number of coordinates
n_coordinates = 0
@@ -24,16 +28,20 @@ def extract_coordinates(n_coordinates=None):
if n_coordinates is None:
n_coordinates = compute_number_coordinates()
+ dataset = TaxiDataset('train')
+ stream = DataStream(dataset, iteration_scheme=ConstantScheme(1, dataset.num_examples))
+
coordinates = np.zeros((n_coordinates, 2), dtype="float32")
- train_it = data.train_it()
+ train_it = stream.get_epoch_iterator()
c = 0
for ride in train_it:
- for point in ride[-1]:
+ for point in zip(ride[2], ride[3]):
coordinates[c] = point
c += 1
+ print c
- cPickle.dump(coordinates, open(data.DATA_PATH + "/coordinates_array.pkl", "wb"))
+ cPickle.dump(coordinates, open(data.path + "/coordinates_array.pkl", "wb"))
def draw_map(coordinates, xrg, yrg):
@@ -47,9 +55,9 @@ def draw_map(coordinates, xrg, yrg):
if __name__ == "__main__":
- # extract_coordinates(n_coordinates=83360928)
+ extract_coordinates(n_coordinates=32502730)
- coordinates = cPickle.load(open(data.DATA_PATH + "/coordinates_array.pkl", "rb"))
+ coordinates = cPickle.load(open(data.path + "/coordinates_array.pkl", "rb"))
xrg = [-8.75, -8.55]
yrg = [41.05, 41.25]
draw_map(coordinates, xrg, yrg)