Semantic link functions for Geopandas. Enables conversion of a FabricDataFrame to a GeoDataFrame.
Project description
FabricDataFrames dynamically expose semantic functions based on logic defined by each function. For example, the is_holiday function shows up in the autocomplete suggestions when you're working on a FabricDataFrame containing both a datetime column and a country column.
Each semantic function uses information about the data types, metadata (such as Power BI data categories), and the data in a FabricDataFrame or FabricSeries to determine its relevance to the particular data on which you're working.
Semantic functions are automatically discovered when annotated with the @semantic_function decorator. You can think of semantic functions as being similar to C# extension methods applied to the popular DataFrame concept.
from sempy.fabric import FabricDataFrame
df = FabricDataFrame(
{"country": ["US", "AT"],
"lat": [40.7128, 47.8095],
"long": [-74.0060, 13.0550]},
column_metadata={"lat": {"data_category": "Latitude"}, "long": {"data_category": "Longitude"}},
)
df_geo = df.to_geopandas(lat_col="lat", long_col="long")
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for semantic_link_functions_geopandas-0.8.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dab10e290fdf563cd89295f9345ce53beb79e97650908f902dcdeef150228a22 |
|
MD5 | d12bef0d11e0412b83bfa24da228dbc3 |
|
BLAKE2b-256 | dc33c10c18bd8d9c2bf28bd1d35e82ee01498374cc2a3b018ff38bbc45b1fec2 |