def download_kaggle_dataset(dataset_url, data_dir, force=False, dry_run=False):
print("Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds")
os.environ['KAGGLE_USERNAME'] = click.prompt("Your Kaggle username")
os.environ['KAGGLE_KEY'] = _get_kaggle_key()
dataset_id = get_kaggle_dataset_id(dataset_url)
if not dry_run:
from kaggle import api
api.authenticate()
api.dataset_download_files(
dataset_id, os.path.join(data_dir, dataset_id.split('/')[1]), force=force, quiet=False, unzip=True)
else:
print("This is a dry run, skipping..")
def download_coronavirus_data(path='New\ Data/', verbose=False):
"""Installs the Kaggle Command Line Interface to clone dataset.
Then extracts dataset to specified path and displays name of main file.
Args:
path(str): Folder to extract dataset into (must end with a '/')
Returns:
file_list(list): List of full filepaths to downloaded csv files.
"""
## Determine if dataset is downloaded via Kaggle CL
import os, glob
from zipfile import ZipFile
from IPython.display import clear_output
os.makedirs(path, exist_ok=True)
## Install Kaggle
try:
import kaggle.api as kaggle
except:
## Install Kaggle
os.system("pip install kaggle --upgrade") #
clear_output()
if verbose: print('\t- Installed kaggle command line tool.')
## Using the kaggle.api
import kaggle.api as kaggle
kaggle.authenticate()
kaggle.dataset_download_files(
'sudalairajkumar/novel-corona-virus-2019-dataset',
path=path,
force=True,
unzip=True)
# ## Delete Zip File
# zipfile = path+"novel-corona-virus-2019-dataset.zip"
# try:
# os.system(f"rm {zipfile}" )
# except:
# print("ERROR DELETING ZIP FILE")
## Get list of all csvs
print('[i] Extraction Complete.')
file_list = glob.glob(path + "*.csv")
## Find main df
main_file = [file for file in file_list if 'covid_19_data.csv' in file]
if verbose:
print(f"[i] The main file name is {main_file}")
return main_file[0] #file_list[index]
def download_kaggle_dataset(dataset_url, data_dir, force=False, dry_run=False):
dataset_id = get_kaggle_dataset_id(dataset_url)
id = dataset_id.split('/')[1]
target_dir = os.path.join(data_dir, id)
if not force and os.path.exists(target_dir) and len(
os.listdir(target_dir)) > 0:
print(
'Skipping, found downloaded files in "{}" (use force=True to force download)'
.format(target_dir))
return
if not read_kaggle_creds():
print(
"Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds"
)
os.environ['KAGGLE_USERNAME'] = click.prompt("Your Kaggle username")
os.environ['KAGGLE_KEY'] = _get_kaggle_key()
if not dry_run:
from kaggle import api
api.authenticate()
if dataset_id.split('/')[0] == 'competitions' or dataset_id.split(
'/')[0] == 'c':
api.competition_download_files(id,
target_dir,
force=force,
quiet=False)
zip_fname = target_dir + '/' + id + '.zip'
extract_archive(zip_fname, target_dir)
try:
os.remove(zip_fname)
except OSError as e:
print('Could not delete zip file, got' + str(e))
else:
api.dataset_download_files(dataset_id,
target_dir,
force=force,
quiet=False,
unzip=True)
else:
print("This is a dry run, skipping..")
import kaggle.api
from kaggle.api.kaggle_api_extended import KaggleApi
api = KaggleApi()
api.authenticate()
# Download all files of a dataset
# Signature: dataset_download_files(dataset, path=None, force=False, quiet=True, unzip=False)
# api.dataset_download_files('avenn98/world-of-warcraft-demographics')
# downoad single file
# Signature: dataset_download_file(dataset, file_name, path=None, force=False, quiet=True)
api.dataset_download_files(
'/shashikant9198/nlp-and-glove-word-embeddings-sentimental-analysis',
path='/Users/fred/OneDrive - Adobe/Data/NLP_sentiment/Kaggle_Files')
def get_kaggle(dsname, fpath):
import kaggle.api as k
k.authenticate()
k.dataset_download_files(dsname, path='temp/', unzip=True)
def download_coronavirus_data(self, path=None, verbose=None):
"""Installs the Kaggle Command Line Interface to clone dataset.
Then extracts dataset to specified path and displays name of main file.
Args:
path(str): Folder to extract dataset into (must end with a '/')
Returns:
file_list(list): List of full filepaths to downloaded csv files.
"""
if verbose == None:
verbose = self.__verbose
if verbose:
print('[i] DOWNLOADING DATA USING KAGGLE API')
print(
"\thttps://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset"
)
if path is None:
path = self._data_folder
## Determine if dataset is downloaded via Kaggle CL
import os, glob
from zipfile import ZipFile
from IPython.display import clear_output
os.makedirs(path, exist_ok=True)
try:
import kaggle.api as kaggle
except:
## Install Kaggle
os.system("pip install kaggle --upgrade") #
clear_output()
if verbose: print('\t- Installed kaggle command line tool.')
## Using the kaggle.api
import kaggle.api as kaggle
kaggle.authenticate()
kaggle.dataset_download_files(
'sudalairajkumar/novel-corona-virus-2019-dataset',
path=path,
force=True,
unzip=True)
## Run Kaggle Command
# cmd = 'kaggle datasets download -d sudalairajkumar/novel-corona-virus-2019-dataset'
# os.system(cmd)
# ## Extract ZipFile
# zip_filepath = 'novel-corona-virus-2019-dataset.zip'
# with ZipFile(zip_filepath) as file:
# file.extractall(path)
if self.__verbose:
print(f'\t- Downloaded dataset .zip and extracted to:"{path}"')
# ## Delete Zip File
# try:
# os.system(f"rm {path}novel-corona-virus-2019-dataset.zip" )
# except:
# print("ERROR DELETING ZIP FILE")
self.get_data_fpath(path)
def main(dataset_dir, force=False):
if not os.path.exists(dataset_dir):
os.mkdir(dataset_dir)
if not os.listdir(dataset_dir) or force:
api.dataset_download_files("datasnaek/youtube-new", path=dataset_dir, force=True, quiet=False, unzip=True)
