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...
parts=lines.map(lambdarow:row.value.split("::"))ratingsRDD=parts.map(lambdap:Row(userId=int(p[0]),movieId=int(p[1]),rating=float(p[2]),timestamp=int(p[3])))ratings=spark.createDataFrame(ratingsRDD)(training,test)=ratings.randomSplit([0.8,0.2])# Build the recommendation mod...
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_...
dataframe-norootextension ‑ gtest-Users-sftnight-ROOT-CI-roottest-root-dataframe-norootextension gtest-Users-sftnight-ROOT-CI-roottest-root-hist-misc-gh15874 ‑ gtest-Users-sftnight-ROOT-CI-roottest-root-hist-misc-gh15874 gtest-Users-sftnight-ROOT-CI-roottest-root-math-vecops-testRVecIO ...
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 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"...
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"...
PyGWalker can simplify your Jupyter Notebook data analysis and data visualization workflow, by turning your pandas dataframe (and polars dataframe) into a Tableau-style User Interface for visual exploration.PyGWalker (pronounced like "Pig Walker", just for fun) is named as an abbreviation of "...