A table data viewer for Python
Project description
tabulous
A table data viewer for Python.
from tabulous import open_sample
viewer = open_sample("iris")
tabulous
is highly inspired by napari in its design and API.
df = pd.read_csv("data.csv")
viewer.add_table(df) # add table data to viewer
viewer.tables # table list
table = viewer.tables[1] # get table
table.data # get pd.DataFrame object (or other similar one)
# Connect data changed signal
# See examples/04_data_changed_signal.py
@table.events.data.connect
def _on_data_change(info):
"""data-changed callback"""
# Connect selection changed signal
# See examples/05_selection_changed.py
@table.events.selections.connect
def _on_selection_change(selections):
"""selection-changed callback"""
Supported table types
Table | SpreadSheet |
---|---|
A dtype-tagged table view with fixed size, aimed at viewing and editing pd.DataFrame . This table is the most basic one. |
A string based table editor. Table is converted into pd.DataFrame object with proper dtypes consistent with reading CSV file using pd.read_csv . |
GroupBy | TableDisplay |
---|---|
A table group that corresponds to the returned object of the groupby method of pd.DataFrame . |
A table viewer that hotly reloads data using provided loader function. Useful for streaming data from other softwares. |
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