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Export to Numpy – DuckDB 12371
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... entation / Guides / Python Copy Markdown Export to Numpy The result of a query can be converted to a Numpy array using the fetchnumpy() function. For example: import duckdb import numpy as np my_arr = duckdb . sql ( "SELECT unnest([1, 2, 3]) AS x, 5.0 AS y ... " ). fetchnumpy () my_arr {'x': array([1, 2, 3], dtype=int32), 'y': masked_array(data=[5.0, 5.0, 5.0], mask=[False, False, False], fill_va ... ctions, e.g.: np . sum ( my_arr [ 'x' ]) 6 See Also DuckDB also supports importing from Numpy . 関連キーワード Numpy using fetchnumpy import duckdb Documentation Guides Copy Markdown Export query converted example numpy unnest dtype masked mask fill proces ...
https://man.mtool.work/duckdb/1.3/guides/python/export_numpy.html
Conversion between DuckDB and Python – DuckDB 8820
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... to Python DuckDB's Python client provides multiple additional methods that can be used to efficiently retrieve data. NumPy fetchnumpy() fetches the data as a dictionary of NumPy arrays Pandas df() fetches the data as a Pandas DataFrame fetchdf() is an alia ... 1 3 chainsaw 500.0 10 4 iphone 300.0 2 Fetch as dictionary of NumPy arrays: arr = con . execute ( "SELECT * FROM items" ). fetchnumpy () print ( arr ) {'item': masked_array(data=['jeans', 'hammer', 'laptop', 'chainsaw', 'iphone'], mask=[False, False, False ...
https://man.mtool.work/duckdb/1.3/clients/python/conversion.html
Python Client API – DuckDB 8007
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... : duckdb.duckdb.DuckDBPyConnection , size : int = 1 ) → list ¶ Fetch the next set of rows from a result following execute fetchnumpy ( self : duckdb.duckdb.DuckDBPyConnection ) → dict ¶ Fetch a result as list of NumPy arrays following execute fetchone ( s ... list ¶ Execute and fetch the next set of rows as a list of tuples Detailed examples can be found at Relational API page . fetchnumpy ( self : duckdb.duckdb.DuckDBPyRelation ) → dict ¶ Execute and fetch all rows as a Python dict mapping each column to one ... onnection : duckdb.DuckDBPyConnection = None ) → list ¶ Fetch the next set of rows from a result following execute duckdb. fetchnumpy ( * , connection : duckdb.DuckDBPyConnection = None ) → dict ¶ Fetch a result as list of NumPy arrays following execute du ...
https://man.mtool.work/duckdb/1.3/clients/python/reference/
Python API – DuckDB 7748
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... "SELECT 42" ). pl () # Polars DataFrame duckdb . sql ( "SELECT 42" ). arrow () # Arrow Table duckdb . sql ( "SELECT 42" ). fetchnumpy () # NumPy Arrays Writing Data to Disk DuckDB supports writing Relation objects directly to disk in a variety of formats. ...
https://man.mtool.work/duckdb/1.3/clients/python/overview.html
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