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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 tabular data formats automatically:

gtabview data.csv

Usage as a module

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)

# 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'])

# numpy is supported as well
import numpy as np
view(np.array([[1, 2, 3], [4, 5, 6]]))

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.

Requirements and installation

gtabview is available directly on the Python Package Index.

gtabview requires:

  • Python 2 or Python 3

  • PyQt4 or PySide

  • setuptools and setuptools-git (install-only).

Under Debian/Ubuntu, install the required dependencies with:

sudo apt-get install python python-qt4
sudo apt-get install python-setuptools python-setuptools-git

Then download and install simply via pip:

pip install gtabview

Excel files are supported if the xlrd module is also installed:

pip install xlrd


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

Latest release notes

  • Headers and indexes can now be resized.

  • Level names in pd.DataFrame objects are now shown.

  • Negative start_pos offsets are now allowed to conveniently position the cursor counting from the end of the dataset.

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