azureml-fsspec


Nameazureml-fsspec JSON
Version 1.3.1 PyPI version JSON
download
home_pagehttps://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py
SummaryAccess datastore uri with fsspec
upload_time2024-02-08 23:22:48
maintainer
docs_urlNone
authorMicrosoft Corp
requires_python>=3.6,< 4.0
licenseProprietary https://aka.ms/azureml-preview-sdk-license
keywords file-system dask azure
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Filesystem interface to Azure Machine Learning defined URIs

## Getting started

This package can be installed using:

```bash
pip install azureml-fsspec
```

## Examples
Accepted uri format is Azure Machcine Learning defined datastore uri: azureml://subscriptions/([^\/]+)/resourcegroups/([^\/]+)/workspaces/([^\/]+)/datastores/([^\/]+)/paths/([^\/]+)

```python
# load parquet file to pandas
import pandas
df = pandas.read_parquet('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}
                          /datastores/workspaceblobstore/paths/myfolder/mydata.parquet')

# load csv file to pandas
import pandas
df = pandas.read_csv('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}
                          /datastores/workspaceblobstore/paths/myfolder/mydata.csv')

# load parquet file to dask
import dask.dataframe as dd
df = dd.read_parquet('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}
                          /datastores/workspaceblobstore/paths/myfolder/mydata.parquet')

# load csv file to dask
import dask.dataframe as dd
df = dd.read_csv('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}
                          /datastores/workspaceblobstore/paths/myfolder/mydata.csv')
```


# Release History

## 1.3.1 (02-05-2024)

### Features Added
- added support for using mlclient for authorization

## 1.3.0 (01-17-2024)

### Features Added
- added registry support for fsspec. 

## 1.2.0 (08-14-2023)

### Features Added
- added auth dict support (SP and managedIdentity) for fsspec. 
- added user exception mapping

## 1.1.0 (06-01-2023)

### Features Added
- upload/download performance improvement

## 1.0.0 (04-07-2023)

### Features Added
- Added upload/download API
- bugfix(root behavior)

## 0.1.0b1

### Features Added
- Initial public preview release of FileSystem for Azure Machine Learning defined datastore uri 

## 0.1.0b2

### Features Added
- Fix release notes


## 0.1.0b3

### Features Added
- Add mode in open API
- Add validation
- Upgrade dataprep to 4.8


            

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    "description": "# Filesystem interface to Azure Machine Learning defined URIs\r\n\r\n## Getting started\r\n\r\nThis package can be installed using:\r\n\r\n```bash\r\npip install azureml-fsspec\r\n```\r\n\r\n## Examples\r\nAccepted uri format is Azure Machcine Learning defined datastore uri: azureml://subscriptions/([^\\/]+)/resourcegroups/([^\\/]+)/workspaces/([^\\/]+)/datastores/([^\\/]+)/paths/([^\\/]+)\r\n\r\n```python\r\n# load parquet file to pandas\r\nimport pandas\r\ndf = pandas.read_parquet('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}\r\n                          /datastores/workspaceblobstore/paths/myfolder/mydata.parquet')\r\n\r\n# load csv file to pandas\r\nimport pandas\r\ndf = pandas.read_csv('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}\r\n                          /datastores/workspaceblobstore/paths/myfolder/mydata.csv')\r\n\r\n# load parquet file to dask\r\nimport dask.dataframe as dd\r\ndf = dd.read_parquet('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}\r\n                          /datastores/workspaceblobstore/paths/myfolder/mydata.parquet')\r\n\r\n# load csv file to dask\r\nimport dask.dataframe as dd\r\ndf = dd.read_csv('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}\r\n                          /datastores/workspaceblobstore/paths/myfolder/mydata.csv')\r\n```\r\n\r\n\r\n# Release History\r\n\r\n## 1.3.1 (02-05-2024)\r\n\r\n### Features Added\r\n- added support for using mlclient for authorization\r\n\r\n## 1.3.0 (01-17-2024)\r\n\r\n### Features Added\r\n- added registry support for fsspec. \r\n\r\n## 1.2.0 (08-14-2023)\r\n\r\n### Features Added\r\n- added auth dict support (SP and managedIdentity) for fsspec. \r\n- added user exception mapping\r\n\r\n## 1.1.0 (06-01-2023)\r\n\r\n### Features Added\r\n- upload/download performance improvement\r\n\r\n## 1.0.0 (04-07-2023)\r\n\r\n### Features Added\r\n- Added upload/download API\r\n- bugfix(root behavior)\r\n\r\n## 0.1.0b1\r\n\r\n### Features Added\r\n- Initial public preview release of FileSystem for Azure Machine Learning defined datastore uri \r\n\r\n## 0.1.0b2\r\n\r\n### Features Added\r\n- Fix release notes\r\n\r\n\r\n## 0.1.0b3\r\n\r\n### Features Added\r\n- Add mode in open API\r\n- Add validation\r\n- Upgrade dataprep to 4.8\r\n\r\n",
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