feat: Add pandas utility for dataframe #84
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ancy-augustin
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cameronwaterman,
mure and
spanglerco
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| index_name: str = None | ||
| if index: | ||
| index_name = _get_table_index_name(client=client, table_id=table_id) | ||
| if query.columns: |
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Can we combine these two if statements into a single if.
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We cannot combine the if statements because the index_name is required regardless of whether query.columns is None, and checking index_name in query.columns should only occur when both are valid.
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It would be nice to have a function There is of course challenge in batching the rows upload if the data is large. |
nisystemlink/clients/dataframe/utilities/_pandas_dataframe_operations.py
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| """The names and order of the columns included in the data frame.""" | ||
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| data: List[List[Optional[str]]] | ||
| data: Optional[List[List[Optional[str]]]] = None |
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Could making this field optional lead to an error? This will provide a way to call the API without providing data.
| client (DataFrameClient): Instance of DataFrameClient. | ||
| df (pd.DataFrame): Pandas dataframe. | ||
| table_name (str): Name of the table. | ||
| nullable_columns (bool): Make the columns nullable. Nullable columns can contain `null` values. |
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Can we have a default value to nullable_columns field?
@santhoshramaraj What do you think?
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We need to understand the impact of nullable_columns on performance to choose the default value or require the user to make a conscious decision.
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What does this Pull Request accomplish?
Adds utility functions to interact with SystemLink
DataFrameAPI using pandas data frames.Why should this Pull Request be merged?
Simplifies working with pandas data frames and SystemLink
DataFrameby providing convenient methods for creating, appending, and querying tables directly from pandas.What testing has been done?
TODO: Detail what testing has been done to ensure this submission meets requirements.