Wrapper around the Azure Storage Blobs SDK to make life a bit easier
Project description
EasyAdls
Wrapper around the Azure Storage Blobs SDK to make life a bit easier.
Install
pip install EasyAdls
Examples
Get a client with either a key or sas token:
from EasyAdls import EasyBlob
client = EasyBlob(account_name='mystorageaccount',
container='some-container',
credential='key_or_sas_token')
Retrieve properties of a blob:
# return properties
client.get_properties('blob.jpg')
Read / write a csv directly into a pandas dataframe. You can pass-down
all arguments of pandas.read_csv()
and pandas.to_csv()
:
# read csv
df = client.read_csv_to_pandas('some.csv', header=None, sep=',')
# write csv
client.write_pandas_to_csv(df, 'another.csv', overwrite=False, index=True)
Get a string of bytestring back from a blob:
# returns string
client.read_blob_to_string('some.csv')
# returns bytes
client.read_blob_to_bytes('blob.jpg')
Write any content into a blob, can be both string or bytestring:
# directly write to file
client.write_content_to_blob('some.txt', 'some random test string', overwrite=True)
Read a text blob into a StringIO object, so you can read it in with e.g., Pandas as if it was on disk:
# get StringIO
csv_as_string = client.read_textfile_to_io('some.csv')
# turn it into a pandas df
pd.read_csv(csv_as_string)
Read a (binary) blob into a BytesIO object, so you can read it in with e.g., Pandas as if it was on disk
# get BytesIO
csv_as_bytes = client.read_binary_to_io('some.csv')
# turn it into a pandas df
pd.read_csv(csv_as_bytes)
Upload a local file to blob or vice versa
# upload a file
client.upload_blob('./some_local.jpg', 'blob.jpg', overwrite=True)
# download a file
client.download_blob('blob.jpg', './some_local.jpg')
License
None whatsoever
Author
D. Koops
Project details
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