Source code for bokeh.sampledata

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)
        except OSError:
            raise RuntimeError("could not create bokeh config directory at %s" % bokeh_dir)
        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):
        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")
        config = yaml.load(open(join(bokeh_dir, 'config')))
        data_dir = expanduser(config['sampledata_dir'])
    except (IOError, TypeError):
    if not exists(data_dir):
        if not create:
            raise RuntimeError('bokeh sample data directory does not exist, please execute')
        print("Creating %s directory" % data_dir)
        except OSError:
            raise RuntimeError("could not create bokeh data directory at %s" % data_dir)
        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)
        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 = '' files = [ (s3, 'CGM.csv'), (s3, ''), (s3, 'us_cities.json'), (s3, 'unemployment09.csv'), (s3, 'AAPL.csv'), (s3, 'FB.csv'), (s3, 'GOOG.csv'), (s3, 'IBM.csv'), (s3, 'MSFT.csv'), (s3, ''), (s3, 'gapminder_fertility.csv'), (s3, 'gapminder_population.csv'), (s3, 'gapminder_life_expectancy.csv'), (s3, 'gapminder_regions.csv'), (s3, ''), (s3, 'airports.json'), (s3, ''), ] 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 = 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')