Metadata-Version: 1.1
Name: datascroller
Version: 0.9.2
Summary: Data scrolling in the terminal
Home-page: https://github.com/baogorek/datascroller
Author: Ben Ogorek
Author-email: baogorek@gmail.com
License: MIT
Download-URL: https://github.com/baogorek/datascroller/archive/v0.9.2.tar.gz
Description: datascroller - data scrolling in the terminal!
        ==============================================
        
        Welcome to the datascroller project! While IDEs and notebooks are
        excellent or interactive data exploration, there will always be some of
        us who prefer to stay in the terminal. For exploring Pandas data frames,
        that meant painstakingly tedius use of .iloc, until now…
        
        |image0| *Note: commands shown on the demo are out of date as of version
        0.9.2. See Usage and Examples below.*
        
        Installation
        ------------
        
        via pip
        ~~~~~~~
        
        ::
        
           pip install datascroller
        
        Usage
        -----
        
        Import the ``scroll`` function with
        
        ::
        
           from datascroller import scroll
        
        and call scroll with a Pandas DataFrame as an argument. Press ‘q’ to
        quit viewing. ### Keys The default (only at the moment) keys are set up
        to resemble Vim’s edit mode.
        
        The following keys are currently supported: #### Movement - h: move to
        the left - j: move down - k: move up - l: move left #### Data Frame
        Resizing - d: grow data frame by one column - x: grow data frame by one
        row - a: shrink data frame by one column - w: shring data frame by one
        row #### Quick Movement - Ctrl + F: Page down - Ctrl + B: Page up (not
        working as well for some reason) #### Exiting - q
        
        Examples
        ~~~~~~~~
        
        Using iPython is a good way to try out datascroller interactively:
        
        ::
        
           import pandas as pd
           from datascroller import scroll
        
           train = pd.read_csv(
               'https://raw.githubusercontent.com/datasets/house-prices-uk/master/data/data.csv')
        
           scroll(train)
        
        .. |image0| image:: resources/demo.gif
        
Keywords: data,dataframe,viewer
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
