msticpy.vis.data_viewer module

Dataframe viewer.

class msticpy.vis.data_viewer.DataTableColumnChooser(data, selected_cols=None)

Bases: object

DataTableColumnChooser class.

Initialize the DataTableColumnChooser class.

property dataframe_columns

Return the selected set of DataFrame columns.

property datatable_columns

Return a list of Bokeh column definitions for the DataFrame.

display()

Display in IPython.

property selected_columns

Return the selected columns.

class msticpy.vis.data_viewer.DataTableFilter(data: DataFrame)

Bases: object

Data filtering class.

Initialize the DataTableFilter class.

property bool_filters

Return current set of boolean filters.

property current_col

Return the currently selected column.

display()

Display in IPython.

property filtered_dataframe: DataFrame

Return current filtered DataFrame.

import_filters(filters: Dict[str, FilterExpr])

Replace the current filters with filters.

Parameters:

filters (Dict[str, FilterExpr]) – dict of filter name, FilterExpr FilterExpr is a tuple of: column [str], inv [bool], operator [str], expr [str]

class msticpy.vis.data_viewer.DataViewerBokeh(data: DataFrame, selected_cols: List[str] | None = None, debug=False)

Bases: object

Data viewer class.

Initialize the DataViewer class.

Parameters:

• data (pd.DataFrame) – The DataFrame to view

• selected_cols (List[str], optional) – Initial subset of columns to show, by default None (all cols)

• debug (bool) – Output additional debugging info to std out.

display()

Display the widget.

property filtered_data: DataFrame

Return filtered dataframe.

property filters: Dict[str, FilterExpr]

Return current filters as a dict.

import_filters(filters: Dict[str, FilterExpr])

Import filter set replacing current filters.

Parameters:

filters (Dict[str, FilterExpr]) – dict of filter name, FilterExpr FilterExpr is a tuple of: column [str], inv [bool], operator [str], expr [str]

show()

Display the data table control.

class msticpy.vis.data_viewer.FilterExpr(column, inv, operator, expr)

Bases: tuple

Create new instance of FilterExpr(column, inv, operator, expr)

column

Alias for field number 0

count(value, /)

Return number of occurrences of value.

expr

Alias for field number 3

index(value, start=0, stop=9223372036854775807, /)

Return first index of value.

Raises ValueError if the value is not present.

inv

Alias for field number 1

operator

Alias for field number 2