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
- 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
- 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 🔥
- Adventures In Flask While Developing D-Tale
- Adding Range Selection to react-virtualized
- Building Draggable/Resizable Modals
- Embedding Flask Apps within Streamlit
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| PyCharm | jupyter |
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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
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
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 sessionsD-Tale is licensed under the GNU LGPL v2.1. A copy of which is included in LICENSE
Located on the main github repo