tabulous 0.2.0

A table data viewer for Python

tabulous

A table data viewer for Python. →当 Documentation

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 PyQt backend.

pip install tabulous[pyqt5]  # Use PyQt5
pip install tabulous[pyqt6]  # Use PyQt6

A Wide Variety of Tables are Supported

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.

Rich Visualization

Cell colors	Highlighting
Colormap defines text or background color based on the value.	Highlight is colored overlays.

Data Validation

Data type validation	Custom validation
Columns tagged with dtype will validate the input string and raise an error on entering invalid string.	You can also define custom validators for each column, such as confirming non-negative.

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"""