Metadata-Version: 2.1
Name: dtale
Version: 2.12.2
Summary: Web Client for Visualizing Pandas Objects
Home-page: https://github.com/man-group/dtale
Author: MAN Alpha Technology
Author-email: ManAlphaTech@man.com
License: LGPL
Description: |image0|
        
        -  `Live Demo <http://alphatechadmin.pythonanywhere.com>`__
        
        --------------
        
        |CircleCI| |PyPI Python Versions| |PyPI| |Conda| |ReadTheDocs| |codecov|
        |Downloads| |Open in VS Code|
        
        What is it?
        -----------
        
        D-Tale is the combination of a Flask back-end and a React front-end to
        bring you an easy way to view & analyze Pandas data structures. It
        integrates seamlessly with ipython notebooks & python/ipython terminals.
        Currently this tool supports such Pandas objects as DataFrame, Series,
        MultiIndex, DatetimeIndex & RangeIndex.
        
        Origins
        -------
        
        D-Tale was the product of a SAS to Python conversion. What was
        originally a perl script wrapper on top of SAS’s ``insight`` function is
        now a lightweight web client on top of Pandas data structures.
        
        In The News
        -----------
        
        -  `4 Libraries that can perform EDA in one line of python
           code <https://towardsdatascience.com/4-libraries-that-can-perform-eda-in-one-line-of-python-code-b13938a06ae>`__
        -  `React Status <https://react.statuscode.com/issues/204>`__
        -  `KDNuggets <https://www.kdnuggets.com/2020/08/bring-pandas-dataframes-life-d-tale.html>`__
        -  `Man Institute <https://www.man.com/maninstitute/d-tale>`__ (warning:
           contains deprecated functionality)
        -  `Python
           Bytes <https://pythonbytes.fm/episodes/show/169/jupyter-notebooks-natively-on-your-ipad>`__
        -  `FlaskCon 2020 <https://www.youtube.com/watch?v=BNgolmUWBp4&t=33s>`__
        -  `San Diego
           Python <https://www.youtube.com/watch?v=fLsGur5YqeE&t=29s>`__
        -  `Medium: towards data
           science <https://towardsdatascience.com/introduction-to-d-tale-5eddd81abe3f>`__
        -  `Medium: Exploratory Data Analysis – Using
           D-Tale <https://medium.com/da-tum/exploratory-data-analysis-1-4-using-d-tale-99a2c267db79>`__
        -  `EOD Notes: Using python and dtale to analyze
           correlations <https://www.google.com/amp/s/eod-notes.com/2020/05/07/using-python-and-dtale-to-analyze-correlations/amp/>`__
        -  `Data Exploration is Now Super Easy w/
           D-Tale <https://dibyendudeb.com/d-tale-data-exploration-tool/>`__
        -  `Practical Business
           Python <https://pbpython.com/dataframe-gui-overview.html>`__
        
        Tutorials
        ---------
        
        -  `Pip Install Python YouTube
           Channel <https://m.youtube.com/watch?v=0RihZNdQc7k&feature=youtu.be>`__
        -  `machine_learning_2019 <https://www.youtube.com/watch?v=-egtEUVBy9c>`__
        -  `D-Tale The Best Library To Perform Exploratory Data Analysis Using
           Single Line Of
           Code🔥🔥🔥🔥 <https://www.youtube.com/watch?v=xSXGcuiEzUc>`__
        -  `Explore and Analyze Pandas Data Structures w/
           D-Tale <https://m.youtube.com/watch?v=JUu5IYVGqCg>`__
        -  `Data Preprocessing simplest method
           🔥 <https://www.youtube.com/watch?v=Q2kMNPKgN4g>`__
        
        ## Related Resources
        
        -  `Adventures In Flask While Developing
           D-Tale <https://github.com/man-group/dtale/blob/master/docs/FlaskCon/FlaskAdventures.md>`__
        -  `Adding Range Selection to
           react-virtualized <https://github.com/man-group/dtale/blob/master/docs/RANGE_SELECTION.md>`__
        -  `Building Draggable/Resizable
           Modals <https://github.com/man-group/dtale/blob/master/docs/DRAGGABLE_RESIZABLE_MODALS.md>`__
        -  `Embedding Flask Apps within
           Streamlit <https://github.com/man-group/dtale/blob/master/docs/EMBEDDED_STREAMLIT.md>`__
        
        Where To get It
        ---------------
        
        The source code is currently hosted on GitHub at:
        https://github.com/man-group/dtale
        
        Binary installers for the latest released version are available at the
        `Python package index <https://pypi.org/project/dtale>`__ and on conda
        using `conda-forge <https://github.com/conda-forge/dtale-feedstock>`__.
        
        .. code:: sh
        
           # conda
           conda install dtale -c conda-forge
           # if you want to also use "Export to PNG" for charts
           conda install -c plotly python-kaleido
        
        .. code:: sh
        
           # or PyPI
           pip install dtale
        
        Getting Started
        ---------------
        
        ======== =========
        PyCharm  jupyter
        ======== =========
        |image9| |image10|
        ======== =========
        
        Python Terminal
        ~~~~~~~~~~~~~~~
        
        This comes courtesy of PyCharm |image11| Feel free to invoke ``python``
        or ``ipython`` directly and use the commands in the screenshot above and
        it should work
        
        Issues With Windows Firewall
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        
        If you run into issues with viewing D-Tale in your browser on Windows
        please try making Python public under “Allowed Apps” in your Firewall
        configuration. Here is a nice article: `How to Allow Apps to Communicate
        Through the Windows
        Firewall <https://www.howtogeek.com/howto/uncategorized/how-to-create-exceptions-in-windows-vista-firewall/>`__
        
        Additional functions available programmatically
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        
        .. code:: python
        
           import dtale
           import pandas as pd
        
           df = pd.DataFrame([dict(a=1,b=2,c=3)])
        
           # Assigning a reference to a running D-Tale process
           d = dtale.show(df)
        
           # Accessing data associated with D-Tale process
           tmp = d.data.copy()
           tmp['d'] = 4
        
           # Altering data associated with D-Tale process
           # FYI: this will clear any front-end settings you have at the time for this process (filter, sorts, formatting)
           d.data = tmp
        
           # Shutting down D-Tale process
           d.kill()
        
           # using Python's `webbrowser` package it will try and open your server's default browser to this process
           d.open_browser()
        
           # There is also some helpful metadata about the process
           d._data_id  # the process's data identifier
           d._url  # the url to access the process
        
           d2 = dtale.get_instance(d._data_id)  # returns a new reference to the instance running at that data_id
        
           dtale.instances()  # prints a list of all ids & urls of running D-Tale sessions
        
        License
        -------
        
        D-Tale is licensed under the GNU LGPL v2.1. A copy of which is included
        in
        `LICENSE <https://github.com/man-group/dtale/blob/master/LICENSE.md>`__
        
        Additional Documentation
        ------------------------
        
        Located on the main `github repo <https://github.com/man-group/dtale>`__
        
        .. |image0| image:: https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/Title.png
           :target: https://github.com/man-group/dtale
        .. |CircleCI| image:: https://circleci.com/gh/man-group/dtale.svg?style=shield&circle-token=4b67588a87157cc03b484fb96be438f70b5cd151
           :target: https://circleci.com/gh/man-group/dtale
        .. |PyPI Python Versions| image:: https://img.shields.io/pypi/pyversions/dtale.svg
           :target: https://pypi.python.org/pypi/dtale/
        .. |PyPI| image:: https://img.shields.io/pypi/v/dtale
           :target: https://pypi.org/project/dtale/
        .. |Conda| image:: https://img.shields.io/conda/v/conda-forge/dtale
           :target: https://anaconda.org/conda-forge/dtale
        .. |ReadTheDocs| image:: https://readthedocs.org/projects/dtale/badge
           :target: https://dtale.readthedocs.io
        .. |codecov| image:: https://codecov.io/gh/man-group/dtale/branch/master/graph/badge.svg
           :target: https://codecov.io/gh/man-group/dtale
        .. |Downloads| image:: https://pepy.tech/badge/dtale
           :target: https://pepy.tech/project/dtale
        .. |Open in VS Code| image:: https://img.shields.io/badge/Visual_Studio_Code-0078D4?style=for-the-badge&logo=visual%20studio%20code&logoColor=white
           :target: https://open.vscode.dev/man-group/dtale
        .. |image9| image:: https://raw.githubusercontent.com/aschonfeld/dtale-media/master/gifs/dtale_demo_mini.gif
        .. |image10| image:: https://raw.githubusercontent.com/aschonfeld/dtale-media/master/gifs/dtale_ipython.gif
        .. |image11| image:: https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/Python_Terminal.png
        
Keywords: numeric,pandas,visualization,flask
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Provides-Extra: tests
Provides-Extra: dash-bio
Provides-Extra: arctic
Provides-Extra: redis
Provides-Extra: r
Provides-Extra: streamlit
Provides-Extra: swifter
