PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis - Kanaries/pygwalker
Turn a list of STAC items into a 4D xarray DataArray (dims: time, band, y, x), including reprojection to a common grid. The array is a lazy Dask array, so loading and processing the data in parallel—locally or on a cluster—is just a compute() call away. For more information and...
Check notice on line 0 in .github github-actions / Test Results 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 ‑ PyM...
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_...
StellarGraph's internal cache of node adjacencies is now computed lazily #1291 and takes into account whether the graph is directed or not #1463, and they now use the smallest integer type they can #1289 StellarGraph's internal list of source and target nodes are now stored using integer "...
PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis - aristo-ai/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"...
For example, you can call up PyGWalker with the dataframe loaded in this way: df = pd.read_csv('./bike_sharing_dc.csv') walker = pyg.walk(df) That's it. Now you have an interactive UI to analyze and visualize data with simple drag-and-drop operations. Cool things you can do ...
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[...