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A simple graphical tabular data viewer

Project description

gtabview: a simple graphical tabular data viewer

Graphical counterpart to tabview, a simple tabular data viewer that can be used both stand-alone and as a Python module for various files and Python/Pandas/NumPy data structures.

Stand-alone usage

gtabview reads most text tabular data formats automatically:

gtabview data.csv
gtabview data.txt

If xlrd is installed, Excel files can be read directly:

gtabview file.xls[x]

Usage as a module

gtabview.view() can be used to display simple Python types directly in tabulated form:

from gtabview import view

# view a file

# view a list
view([1, 2, 3])

# view a dict (by columns)
view({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})

# view a dict (by rows)
view({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]}, transpose=True)

# view a simple list of lists
view([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# view a simple list of lists (with headers)
view([['a', 'b', 'c'], [1, 2, 3], [4, 5, 6], [7, 8, 9]], hdr_rows=1)

gtabview includes native support for NumPy and all features of Pandas’ DataFrames, such as MultiIndexes and level names:

from gtabview import view

# numpy arrays up to two dimensions are supported
import numpy as np
view(np.array([[1, 2, 3], [4, 5, 6]]))

# view a DataFrame/Series/Panel
import pandas as pd
df = pd.DataFrame([[1, 2, 3], [4, 5, 6]],
                  columns=['a', 'b', 'c'], index=['x', 'y'])

gtabview is designed to integrate correctly with matplotlib. If you’re using gtabview with matplotlib either directly or indirectly (for example, using the Pandas visualization API or Seaborn), be sure to include matplotlib first to correctly initialize gtabview.

gtabview will also use matplotlib’s interactive setting to determine the default behavior of the data window: when interactive, calls to view() will not block, and will keep recycling the same window.

To use gtabview in a Python Notebook with inline graphics, you’ll probably want to force the detached behavior. In the first cell of your notebook, initialize both gtabview and matplotlib as follows:

import gtabview
gtabview.DETACH = True
from gtabview import view
%matplotlib inline

When using view, a separate data window will show. The window can be kept around or closed, but will only be refreshed when evaluating the cell again. Jupyter is currently known not to work properly (

Requirements and installation

gtabview is available directly on the Python Package Index.

gtabview requires:

  • Python 3 or Python 2

  • PyQt5, PyQt4 or PySide

  • setuptools (install-only)

Under Debian/Ubuntu, install the required dependencies with:

sudo apt-get install python3 python3-pyqt5
sudo apt-get install python3-setuptools

Then download and install simply via pip:

pip install gtabview

Install xlrd if direct reading of Excel files is desired:

pip install xlrd


gtabview is distributed under the MIT license (see LICENSE.txt)
Copyright(c) 2014-2020: wave++ “Yuri D’Elia” <>
Copyright(c) 2014-2015: Scott Hansen <>

Latest release notes

  • All iterables with a known length (such as sets) can now be visualized as regular columns without an explicit conversion.

  • Sets and dictionary keys are now displayed in native order by default. A new sort keyword has been added to enforce ordering again.

  • Fixes column autosizing error with Python 3.7+

  • A crash that could occur during shutdown with a running detached view and Qt5 has been fixed.

  • The gtabview utility is now installed via console_scripts, fixing usage on Windows platforms.

  • Removed support for Blaze, due to broken/unmaintained upstream.

  • Version information is now available as a command line via --version and in the module itself gtabview.__version__.

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