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author | AdeB <adbrebs@gmail.com> | 2015-07-16 18:59:50 -0400 |
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committer | AdeB <adbrebs@gmail.com> | 2015-07-16 18:59:50 -0400 |
commit | b6566c010be7c871a5b6c199feaf1dfda0910ade (patch) | |
tree | 8c730ccb9ec23fd9cbcb5903abecda86bf50e6ab | |
parent | 97e9ac0e15b890076af0cf469efbead89f8eb804 (diff) | |
download | taxi-b6566c010be7c871a5b6c199feaf1dfda0910ade.tar.gz taxi-b6566c010be7c871a5b6c199feaf1dfda0910ade.zip |
Fix a bug in the heatmap generation
-rw-r--r-- | data_analysis/maps.py | 28 |
1 files changed, 10 insertions, 18 deletions
diff --git a/data_analysis/maps.py b/data_analysis/maps.py index d5db182..2912c8d 100644 --- a/data_analysis/maps.py +++ b/data_analysis/maps.py @@ -2,22 +2,16 @@ import cPickle 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 +from data.hdf5 import taxi_it def compute_number_coordinates(): - dataset = TaxiDataset('train') - stream = DataStream(dataset, iteration_scheme=ConstantScheme(1, dataset.num_examples)) - train_it = stream.get_epoch_iterator() # Count the number of coordinates n_coordinates = 0 - for ride in train_it: - n_coordinates += len(ride[2]) + for ride in taxi_it('train'): + n_coordinates += len(ride['latitude']) print n_coordinates return n_coordinates @@ -29,17 +23,14 @@ 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 = stream.get_epoch_iterator() c = 0 - for ride in train_it: - for point in zip(ride[2], ride[3]): + for ride in taxi_it('train'): + for point in zip(ride['latitude'], ride['longitude']): coordinates[c] = point c += 1 + print c cPickle.dump(coordinates, open(data.path + "/coordinates_array.pkl", "wb")) @@ -52,13 +43,14 @@ def draw_map(coordinates, xrg, yrg): hist, xx, yy = np.histogram2d(coordinates[:, 0], coordinates[:, 1], bins=2000, range=[xrg, yrg]) plt.imshow(np.log(hist)) + plt.gca().invert_yaxis() plt.savefig(data.path + "/analysis/xyhmap2.png") if __name__ == "__main__": - extract_coordinates(n_coordinates=32502730) + extract_coordinates(n_coordinates=83409386) coordinates = cPickle.load(open(data.path + "/coordinates_array.pkl", "rb")) - xrg = [-8.75, -8.55] - yrg = [41.05, 41.25] + xrg = [41.05, 41.25] + yrg = [-8.75, -8.55] draw_map(coordinates, xrg, yrg) |