|image0|
Live Demo <http://alphatechadmin.pythonanywhere.com>__|CircleCI| |PyPI Python Versions| |PyPI| |Conda| |ReadTheDocs| |codecov| |Downloads| |Open in VS Code|
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.
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.
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>__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>__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>__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 install dtale -c conda-forge
conda install -c plotly python-kaleido
.. code:: sh
pip install dtale
======== ========= 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
FAQs
Web Client for Visualizing Pandas Objects
We found that dtale demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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