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
Man Institute (warning: contains deprecated functionality)
Tutorials
## Related Resources
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 dtaleGetting Started
PyCharm |
jupyter |
|---|---|
Python Terminal
This comes courtesy of PyCharm 
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 sessionsLicense
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
2 maintainers
Metadata
2 maintainers
Release files for dtale 3.22.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dtale-3.22.0.tar.gz | 16.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dtale-3.22.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 33.7 MB
Release files / dtale-3.22.0.tar.gz
| Download URL | dtale-3.22.0.tar.gz |
|---|---|
| Size | 16.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.0
|
Release files / dtale-3.22.0-py2.py3-none-any.whl
| Download URL | dtale-3.22.0-py2.py3-none-any.whl |
|---|---|
| Size | 17.4 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.0
|
