Cognite Python SDK Documentation¶
This is the Cognite Python SDK for developers and data scientists working with Cognite Data Fusion (CDF). The package is tightly integrated with pandas, and helps you work easily and efficiently with data in Cognite Data Fusion (CDF).
Installation¶
To install this package:
pip install cognite-sdk
To upgrade the version of this package:
pip install cognite-sdk --upgrade
pip install "cognite-sdk[pandas, geo]"
Contents¶
- Quickstart
- Settings
- Extensions and optional dependencies
- API
- CogniteClient
- Authentication
- Assets
- Labels
- Events
- Data sets
- Files
- Retrieve file metadata by id
- Retrieve multiple files’ metadata by id
- List files metadata
- Aggregate files metadata
- Search for files
- Create file metadata
- Upload a file or directory
- Upload a string or bytes
- Retrieve download urls
- Download files to disk
- Download a single file to a specific path
- Download a file as bytes
- Delete files
- Update files metadata
- Data classes
- Functions
- Time series
- Synthetic time series
- Data points
- Sequences
- Retrieve a sequence by id
- Retrieve multiple sequences by id
- List sequences
- Aggregate sequences
- Search for sequences
- Create a sequence
- Delete sequences
- Update sequences
- Retrieve data
- Retrieve pandas dataframe
- Insert rows into a sequence
- Insert a pandas dataframe into a sequence
- Delete rows from a sequence
- Delete a range of rows from a sequence
- Data classes
- Raw
- Relationships
- Geospatial
- Create feature types
- Delete feature types
- List feature types
- Retrieve feature types
- Update feature types
- Create features
- Delete features
- Retrieve features
- Update features
- List features
- Search features
- Stream features
- Aggregate features
- Get coordinate reference systems
- List coordinate reference systems
- Create coordinate reference systems
- Put raster data
- Delete raster data
- Get raster data
- Compute
- Data classes
- 3D
- Contextualization
- Fit Entity Matching Model
- Re-fit Entity Matching Model
- Retrieve Entity Matching Models
- Delete Entity Matching Models
- Update Entity Matching Models
- Predict Using an Entity Matching Model
- Detect entities in Engineering Diagrams
- Convert to an interactive SVG where the provided annotations are highlighted
- Vision
- Contextualization Data Classes
- Templates
- Create Template groups
- Upsert Template groups
- Retrieve Template groups
- List Template groups
- Delete Template groups
- Upsert a Template group version
- List Temple Group versions
- Delete a Temple Group version
- Run a GraphQL query
- Create Template instances
- Upsert Template instances
- Update Template instances
- Retrieve Template instances
- List Template instances
- Delete Template instances
- Create Views
- Upsert Views
- List Views
- Resolve View
- Delete Views
- Data classes
- Annotations
- Identity and access management
- Extraction pipelines
- Transformations
- Create transformations
- Retrieve transformations by id
- Run transformations by id
- Preview transformations
- Cancel transformation run by id
- List transformations
- Update transformations
- Delete transformations
- Transformation Schedules
- Transformation Notifications
- Transformation Jobs
- Transformation Schema
- Data classes
- Base data classes
- Exceptions
- Utils
- Testing