Merge pull request #1 from sdevenes/data_downloading

add python script to download the data and unzip them

.gitignore

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+data/

requirements.txt

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+requests

scripts/download_data.py

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+import requests 
+import sys 
+import zipfile
+
+
+# Function to download a file through http.get using requests
+def download_url(url, save_path):
+    with open(save_path, "wb") as f:
+            print("Downloading {} from {}".format(save_path, url))
+            response = requests.get(url, stream=True)
+            total_length = response.headers.get('content-length')
+
+            if total_length is None: # no content length header
+                f.write(response.content)
+            else:
+                dl = 0
+                total_length = int(total_length)
+                for data in response.iter_content(chunk_size=4096):
+                    dl += len(data)
+                    f.write(data)
+                    done = int(50 * dl / total_length)
+                    sys.stdout.write("\r[%s%s]" % ('=' * done, ' ' * (50-done)) )    
+                    sys.stdout.flush()
+    print()
+
+
+# Function to unzip files
+def unzip_file(path_to_zip_file, directory_to_extract_to):
+    print("Unzip files..")
+    with zipfile.ZipFile(path_to_zip_file, 'r') as zip_ref:
+        zip_ref.extractall(directory_to_extract_to)
+
+
+if __name__ == '__main__':
+  url = "https://archive.ics.uci.edu/ml/machine-learning-databases/00506/casas-dataset.zip"
+  url_test = "https://archive.ics.uci.edu/ml/machine-learning-databases/00405/Postures.zip" # Smaller zip to test
+  save_path = "../data/casas-dataset.zip"
+  # Download zip file
+  download_url(url, save_path)
+  # Unzip it
+  unzip_file(save_path, "../data_test/")
+  print("Done")