from __future__ import absolute_import, print_function
from os import mkdir, remove
from os.path import exists, expanduser, isdir, join, splitext
from sys import stdout
from zipfile import ZipFile
import six
from six.moves.urllib.request import urlopen
def _bokeh_dir(create=False):
bokeh_dir = join(expanduser("~"), ".bokeh")
if not exists(bokeh_dir):
if not create: return bokeh_dir
print("Creating %s directory" % bokeh_dir)
try:
mkdir(bokeh_dir)
except OSError:
raise RuntimeError("could not create bokeh config directory at %s" % bokeh_dir)
else:
if not isdir(bokeh_dir):
raise RuntimeError("%s exists but is not a directory" % bokeh_dir)
return bokeh_dir
def _data_dir(file_name=None, create=False):
try:
import yaml
except ImportError:
raise RuntimeError("'yaml' and 'pyyaml' are required to use bokeh.sampledata functions")
bokeh_dir = _bokeh_dir(create=create)
data_dir = join(bokeh_dir, "data")
try:
config = yaml.load(open(join(bokeh_dir, 'config')))
data_dir = expanduser(config['sampledata_dir'])
except (IOError, TypeError):
pass
if not exists(data_dir):
if not create:
raise RuntimeError('bokeh sample data directory does not exist, please execute bokeh.sampledata.download()')
print("Creating %s directory" % data_dir)
try:
mkdir(data_dir)
except OSError:
raise RuntimeError("could not create bokeh data directory at %s" % data_dir)
else:
if not isdir(data_dir):
raise RuntimeError("%s exists but is not a directory" % data_dir)
if file_name is not None:
return join(data_dir, file_name)
else:
return data_dir
[docs]def download(progress=True):
'''
Download larger data sets for various Bokeh examples.
'''
data_dir = _data_dir(create=True)
print("Using data directory: %s" % data_dir)
s3 = 'https://s3.amazonaws.com/bokeh_data/'
files = [
(s3, 'CGM.csv'),
(s3, 'US_Counties.zip'),
(s3, 'us_cities.json'),
(s3, 'unemployment09.csv'),
(s3, 'AAPL.csv'),
(s3, 'FB.csv'),
(s3, 'GOOG.csv'),
(s3, 'IBM.csv'),
(s3, 'MSFT.csv'),
(s3, 'WPP2012_SA_DB03_POPULATION_QUINQUENNIAL.zip'),
(s3, 'gapminder_fertility.csv'),
(s3, 'gapminder_population.csv'),
(s3, 'gapminder_life_expectancy.csv'),
(s3, 'gapminder_regions.csv'),
(s3, 'world_cities.zip'),
(s3, 'airports.json'),
(s3, 'movies.db.zip'),
]
for base_url, file_name in files:
_getfile(base_url, file_name, data_dir, progress=progress)
def _getfile(base_url, file_name, data_dir, progress=True):
file_url = join(base_url, file_name)
file_path = join(data_dir, file_name)
url = urlopen(file_url)
with open(file_path, 'wb') as file:
file_size = int(url.headers["Content-Length"])
print("Downloading: %s (%d bytes)" % (file_name, file_size))
fetch_size = 0
block_size = 16384
while True:
data = url.read(block_size)
if not data:
break
fetch_size += len(data)
file.write(data)
if progress:
status = "\r%10d [%6.2f%%]" % (fetch_size, fetch_size*100.0/file_size)
stdout.write(status)
stdout.flush()
if progress:
print()
real_name, ext = splitext(file_name)
if ext == '.zip':
if not splitext(real_name)[1]:
real_name += ".csv"
print("Unpacking: %s" % real_name)
with ZipFile(file_path, 'r') as zip_file:
zip_file.extract(real_name, data_dir)
remove(file_path)
def _open_csv_file(filename):
# csv differs in Python 2.x and Python 3.x. Open the file differently in each.
if six.PY2:
return open(filename, 'rb')
else:
return open(filename, 'r', newline='', encoding='utf8')
