dashi
Elaborate data analyses are possible with the functionality offered by the great
numpy <http://numpy.scipy.org/>, matplotlib <http://matplotlib.sourceforge.net/>, and pytables <http://www.pytables.org/moin>_ libraries. However their support for
HEP-typical problems (histograms, fitting routines,visualization of those,..) is
limited. Dashi is intended to be a thin wrapper around these libraries to
provide some useful tools for these problems without obstructing the user the access
to the underlying libraries and without being a dependency sink.
Installation
The easiest way to install dashi is with pip::
pip install pydashi
Documentation
Metadata
Release files for pydashi 2.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pydashi-2.0.1.tar.gz | 52.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pydashi-2.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 117.1 kB
Release files / pydashi-2.0.1.tar.gz
| Download URL | pydashi-2.0.1.tar.gz |
|---|---|
| Size | 52.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1cd7887389ee0ba4038cf7ee1cebcd7179650456fc21aabfc853f1fd4f685977
|
|
BLAKE2b-256 checksum How to use checksums |
96e875dcf946124a766bd3ec5c1dc21bf20bd6c436e4cfaca8e22186c8437863
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.7
|
Release files / pydashi-2.0.1-py3-none-any.whl
| Download URL | pydashi-2.0.1-py3-none-any.whl |
|---|---|
| Size | 64.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7b3bbe2ab3a5f30307a702d9bf669226b998bf035b2f3c63dd75369a9b5d55d9
|
|
BLAKE2b-256 checksum How to use checksums |
970f75c2dd7cf94991872d98e1a398c634c767c16e76220d48a3a24568a0e28e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.7
|