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("/path/to/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'])
view(df)
# 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
License
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.