PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis - aristo-ai/pygwalker
Real geospatial operations (shapestats on a GeoDataFrame, reprojection, etc.) aren't supported at all. rioxarray might help with some of these, but it has limited support for Dask, so be careful you don't kick off a huge computation accidentally. I haven't even written tests yet! Don'...
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2679 tests found (test 1 to 736) There are 2679 tests, see "Raw output" for the list of tests 1 to 736. Raw output PyMVA-AdaBoost-Classification ‑ PyMVA-AdaBoost-Classification PyMVA-AdaBoost-Multiclass ‑ PyMVA-AdaBoost-Multiclass PyMVA-GTB-Classification ‑ PyMVA-GTB-Classifi...
name.to_list() def calculate_fractions_mk7_new_smarts(df): mol_substructures, name_substructure = new_smarts() name_substructure = name_substructure + ['smirks', 'measurement' ,'target'] # Comapre left hand side # frame_left=pd.DataFrame(columns=name_substructure) frame_left=[] frame_...
parameter can be used to construct a heterogeneous graph from a single flat DataFrame, containing a column of the edge types #1284. This avoids the need to build separate DataFrames for each type, and is significantly faster when there are many types. Using edge_type_column gives a 2.6× ...
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis - Kanaries/pygwalker
PyGWalkercan simplify your Jupyter Notebook data analysis and data visualization workflow, by turning your pandas dataframe into an interactive user interface for visual exploration. PyGWalker(pronounced like "Pig Walker", just for fun) is named as an abbreviation of "Python binding ofGraphicWalker"...
dataset Union[DataFrame, Connector] - The dataframe or connector to be used. gid Union[int, str] None ID for the GraphicWalker container div, formatted as 'gwalker-{gid}'. env Literal['Jupyter', 'Streamlit', 'JupyterWidget'] 'JupyterWidget' Environment using pygwalker. fieldSpecs Optional[...