A table data viewer for Python
Project description
tabulous
A table data viewer for Python.
tabulous
is highly inspired by napari in its design and API.
Installation
Install all the dependencies including functionalities of loading sample data, plotting, etc.
pip install tabulous[all]
Install with PyQt5 backend.
pip install tabulous[pyqt5]
Documentation
Documentation is available here.
How it works.
from tabulous import open_sample
viewer = open_sample("iris") # open a sample data from seaborn
df = pd.read_csv("data.csv")
viewer.add_table(df) # add table data to viewer
viewer.tables # table list
table = viewer.tables[0] # get table
table.data # get pd.DataFrame object (or other similar one)
# Connect data changed signal
# See examples/03-0_data_changed_signal.py
@table.events.data.connect
def _on_data_change(info):
"""data-changed callback"""
# Connect selection changed signal
# See examples/03-1_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. |
Project details
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