Redivis API
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        • redivis
          • redivis.current_notebook
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          • redivis.organization
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          • Dataset.add_labels
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          • File.download
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          • Query.download_files
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          • Query.to_dataframe
          • Query.to_geopandas_dataframe
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          • Query.to_polars_lazyframe
        • Secret
          • Secret.get_value
        • Table
          • Table.add_files
          • Table.create
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          • Table.download
          • Table.download_files
          • Table.get
          • Table.exists
          • Table.list_files
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          • Table.to_arrow_batch_iterator
          • Table.to_arrow_dataset
          • Table.to_arrow_table
          • Table.to_dataframe
          • Table.to_geopandas_dataframe
          • Table.to_dask_dataframe
          • Table.to_pandas_dataframe
          • Table.to_polars_lazyframe
          • Table.update
          • Table.upload
          • Table.variable
        • Upload
          • Upload.create
          • Upload.delete
          • Upload.exists
          • Upload.get
          • Upload.insert_rows
          • Upload.list_variables
          • Upload.to_*
        • User
          • User.dataset
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          • Variable.get
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          • Version.dataset
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          • Version.previous_version
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        • Workflow
          • Workflow.get
          • Workflow.exists
          • Workflow.list_tables
          • Workflow.query
          • Workflow.table
      • Examples
        • Listing resources
        • Querying data
        • Reading tabular data
        • Uploading data
        • Working with non-tabular files
    • redivis-r
      • Getting started
      • Reference
        • redivis
          • redivis$current_notebook
          • redivis$file
          • redivis$make_api_request
          • redivis$organization
          • redivis$query
          • redivis$table
          • redivis$user
        • Dataset
          • Dataset$create
          • Dataset$create_next_version
          • Dataset$delete
          • Dataset$exists
          • Dataset$get
          • Dataset$list_tables
          • Dataset$query
          • Dataset$release
          • Dataset$table
          • Dataset$unrelease
          • Dataset$update
        • File
          • File$download
          • File$get
          • File$read
          • File$stream
        • Notebook
          • Notebook$create_output_table
        • Organization
          • Organization$dataset
          • Organization$list_datasets
          • Organization$secret
        • Query
          • Query$download_files
          • Query$get
          • Query$list_files
          • Query$to_arrow_batch_reader
          • Query$to_arrow_dataset
          • Query$to_arrow_table
          • Query$to_data_frame
          • Query$to_data_table
          • Query$to_tibble
          • Query$to_sf_tibble
        • Secret
          • Secret$get_value
        • Table
          • Table$add_files
          • Table$create
          • Table$delete
          • Table$download
          • Table$download_files
          • Table$get
          • Table$exists
          • Table$list_files
          • Table$list_uploads
          • Table$list_variables
          • Table$to_arrow_batch_reader
          • Table$to_arrow_dataset
          • Table$to_arrow_table
          • Table$to_data_frame
          • Table$to_data_table
          • Table$to_tibble
          • Table$to_sf_tibble
          • Table$update
          • Table$upload
          • Table$variable
        • Upload
          • Upload$create
          • Upload$delete
          • Upload$exists
          • Upload$get
          • Upload$insert_rows
          • Upload$list_variables
          • Upload$to_*
        • User
          • User$dataset
          • User$list_datasets
          • User$list_workflows
          • User$secret
          • User$workflow
        • Variable
          • Variable$get
          • Variable$get_statistics
          • Variable$exists
          • Variable$update
        • Workflow
          • Workflow$get
          • Workflow$exists
          • Workflow$list_tables
          • Workflow$query
          • Workflow$table
      • Examples
        • Listing resources
        • Querying data
        • Reading tabular data
        • Uploading data
        • Working with non-tabular data
  • REST API
    • General structure
    • Authorization
    • Access
      • get
      • list
    • Datasets
      • delete
      • get
      • list
      • patch
      • post
    • DataSources
      • get
      • list
      • patch
    • Exports
      • download
      • get
      • post
    • Files
      • createSignedUrl
      • get
      • head
      • post
    • Members
      • get
      • list
    • Notebooks
      • get
      • list
      • run
    • Queries
      • get
      • post
      • listRows
    • ReadSessions
      • post
      • getStream
    • Tables
      • createTempUploads
      • delete
      • get
      • list
      • listRows
      • patch
      • post
    • Transforms
      • get
      • list
      • run
    • Uploads
      • delete
      • get
      • insertRows
      • list
      • listRows
      • post
    • Variables
      • get
      • getStatistics
      • list
      • patch
    • Versions
      • delete
      • get
      • list
      • post
      • release
      • unrelease
    • Workflows
      • get
      • list
  • Resource definitions
    • Access
    • Dataset
    • DataSource
    • Export
    • Member
    • Notebook
    • Organization
    • Query
    • Table
    • Transform
    • Upload
    • User
    • Variable
    • VariableStatistics
    • Version
    • Workflow
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  1. Client libraries
  2. redivis-python
  3. Reference
  4. Upload

Upload.to_*

PreviousUpload.list_variablesNextUser

Last updated 3 months ago

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Upload.to_*(max_results=None, **kwargs)

Uploads support the same methods as for reading out data (e.g., as a pandas Dataframe). Note that data can only be read from completed uploads that are part of an unreleased version. If the upload's version has been released, or if an upload is still being processed, these methods will raise an error.

Full documentation can be found in the reference for the appropriate Table method:

See also

Tables
Table.to_arrow_batch_iterator()
Table.to_arrow_dataset()
Table.to_arrow_table()
Table.to_geopandas_dataframe()
Table.to_dask_dataframe()
Table.to_pandas_dataframe()
Table.to_polars_lazyframe()