Python / Pandas - GUI for viewing a DataFrame or Matrix [closed]

Answer 1

You can use GitHub Atom with Hydrogen plugin. In Mac you can use Cmd+Shift keys to execute line by line. Even you can select only the variable and see inside. DataFrames are nicely display and you can even copy. I wrote a blog to show the way to configure these. http://ojitha.blogspot.com.au/2016/08/atom-as-spark-editor.html

Answer 2

I'm not a Pandas user myself, but a quick search for "pandas gui" turns up the Pandas project's GSOC 2012 proposal:

Currently the only way to interact with these objects is through the API. This project proposes to add a simple Qt or Tk GUI with which to view and manipulate these objects.

So, there's no GUI, but if you'd write one using Qt or Tk, the project might be interested in your code.

Answer 3

2019 update: I'm currently working on a successor tabloo.

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I wasn't fully satisfied with some other GUIs, so I created my own, which I'm now maintaining on Github. Example:

Apart from the basic table + plot functionality, I wanted to have a specific way to filter data:

• select a column to filter from a combo box
• write an "underscore expression" to filter on that column using arbitrary Python code. For example: _ > 0 to filter positive values only, or more complex expressions like (_ >= date(2016, 1, 1)) & (_ <= date(2016, 1, 31)) e.g. for datetime columns.

Answer 4

Pandas 0.13 provides as an experimental feature:

PySide support for the qtpandas DataFrameModel and DataFrameWidget

see https://github.com/pydata/pandas/blob/master/doc/source/faq.rst

you can add this feature using

from pandas.sandbox.qtpandas import DataFrameModel, DataFrameWidget

Answer 5

There's tkintertable for python2.7 and pandastable for python3.

Answer 6

I tested many of the suggestions here and none of them seem to run or install easily, especially for Python 3, but now I've written a function which is basically accomplishing what I wanted. Need to have these dataframes full-screen, and scrollable sometimes.

So in a Linux environment using Libreoffice Calc, inspired by this answer from Unix and Linux StackExchange, here's what you can do in Python 3:

import pandas as pd
import os

def viewDF(*dfs):
    filelist = ""
    for c, df in enumerate(dfs):    
        filename = 'tmp_df' + str(c) + '.csv'
        odsfile = 'tmp_df' + str(c) + '.ods'
        df.to_csv(filename)
        os.system("soffice --headless --convert-to ods  {}".format(filename))     
        filelist += odsfile + " "
    os.system("soffice --view {}".format(filelist)) 
    os.system("rm {}".format('tmp_df*'))

Use it like this:

viewDF(df1, df2, df3)

I learned something there, which is the Python 3 substitution syntax {}".format The opened files are read-only, in any case they are files which are later deleted, so it's effectively a GUI for dataframes. It will spawn multiple instances of Libreoffice Calc for each dataframe you give it, which you can view fullscreen on separate screens, and then once you close Calc, it cleans up after itself.