dtale 3.15.0

Web Client for Visualizing Pandas Objects

• Live Demo

---

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

• React Status

• KDNuggets

• Man Institute (warning: contains deprecated functionality)

• Python Bytes

• FlaskCon 2020

• San Diego Python

• Medium: towards data science

• Medium: Exploratory Data Analysis – Using D-Tale

• EOD Notes: Using python and dtale to analyze correlations

• Data Exploration is Now Super Easy w/ D-Tale

• Practical Business Python

Tutorials

• Pip Install Python YouTube Channel

• machine_learning_2019

• D-Tale The Best Library To Perform Exploratory Data Analysis Using Single Line Of Code🔥🔥🔥🔥

• Explore and Analyze Pandas Data Structures w/ D-Tale

• Data Preprocessing simplest method 🔥

## Related Resources

• Adventures In Flask While Developing D-Tale

• Adding Range Selection to react-virtualized

• Building Draggable/Resizable Modals

• Embedding Flask Apps within Streamlit

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 and on conda using conda-forge.

# conda
conda install dtale -c conda-forge
# if you want to also use "Export to PNG" for charts
conda install -c plotly python-kaleido

# or PyPI
pip install dtale

Getting Started

PyCharm	jupyter

Python Terminal

This comes courtesy of PyCharm 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

Additional functions available programmatically

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

Additional Documentation

Located on the main github repo