Install#

Quick start#

If you are already familiar with python environment and have ran pip install mplhep, primary functionality can be accessed as follows:

import numpy as np
import matplotlib.pyplot as plt
import mplhep as hep

# Load style sheet
plt.style.use(hep.style.CMS)  # or ATLAS/LHCb2

h, bins = np.histogram(np.random.random(1000))
fig, ax = plt.subplots()
hep.histplot(h, bins)

Will feature binder

Platform support#

mplhep is a python package distributed via PyPI. Python version 3.6 or newer is preferred, but a semi-maintained version of mplhep will run in python 2.7 or newer.

Note

Python 2 end-of-life is Jan. 1, 2020. All major scientific python packages will no longer provide support for python 2 by that date: https://python3statement.org/

All functional features in each supported python version are routinely tested. You can see the python version you have installed by typing the following at the command prompt:

>>> python --version

or, in some cases, if both python 2 and 3 are available, you can find the python 3 version via:

>>> python3 --version

Install mplhep#

To install mplhep you likely want to place it where your matplotlib installation is:

default pip install mplhep installs system-wide or whichever virtual environment is currently sourced

if you do not have administrator permissions, install as local user with pip install --user mplhep

if you prefer to not place mplhep in your global environment, you can set up a virtual environment, and use the venv-provided pip

if you use Conda, simply activate the environment you wish to use and install via the conda-provided pip.

it will soon be possible to install from conda-forge conda install mplhep

To update a previously installed mplhep to a newer version, use: pip install --upgrade mplhep.