Sitian Qian DickyChant

Matplotlib Backends

Matplotlib is a plotting library. It relies on some backend to actually render the plots. The default backend is the agg backend. This backend only renders PNGs. On Jupyter notebooks the matplotlib backends are special as they are rendered to the browser. Generally you will not need to explicitly set the backend on a Jupyter notebook. This does introduce a discrepancy between code that runs in Jupyter and code that runs as a script natively in the Python interpreter. So you need to understand that the 2 environments are not the same

注意：本文内容适用于 Tmux 2.3 及以上的版本，但是绝大部分的特性低版本也都适用，鼠标支持、VI 模式、插件管理在低版本可能会与本文不兼容。

Tmux 快捷键 & 速查表 & 简明教程

启动新会话：

tmux [new -s 会话名 -n 窗口名]

恢复会话：

	# ... Other .zshrc contents above
	function cursor() {
	/opt/cursor.appimage --no-sandbox "$@" >/dev/null 2>&1 &
	}
	# I used the default settings in the cursor install script here

	<!DOCTYPE html>
	<meta charset="utf-8">
	<link rel="stylesheet" href="http://cmx.io/v/0.1/cmx.css"/>
	<script src="http://cmx.io/v/0.1/cmx.js"></script>
	<body>
	<div style="max-width:1800px; -webkit-transform:rotate(0deg)">

	<scene id="scene1" height="400" width="400">
	<label t="translate(0,400)">
	<tspan x="0" y="0em">SM Neutrinos are massless</tspan>

	# Default termtype. If the rcfile sets $TERM, that overrides this value.
	set -g default-terminal screen-256color

	# support logging out and back in
	set -g update-environment "SSH_ASKPASS SSH_AUTH_SOCK SSH_AGENT_PID SSH_CONNECTION"

	# pbcopy support
	set-option -g default-command "reattach-to-user-namespace -l bash"

	# vi mode

	0) You can get the complete tutorial about CRAB3
	https://twiki.cern.ch/twiki/bin/view/CMSPublic/WorkBookCRAB3Tutorial (UPDATED TWIKI PAGE)
	For impatient users, a cheat-sheet is available
	https://twiki.cern.ch/twiki/bin/viewauth/CMS/CRAB3CheatSheet


	1) login to lxplus SLC6 machine by doing
	ssh -Y [email protected]

	2) source LCG GRID UI by

	import uproot4, uproot
	import awkward1 as ak
	import numba as nb
	from uproot3_methods import TLorentzVectorArray, TLorentzVector
	import os
	import feather

	import numpy as np
	import boost_histogram as bh
	import matplotlib.pyplot as plt

	import FWCore.ParameterSet.Config as cms

	externalLHEProducer = cms.EDProducer("ExternalLHEProducer",
	args = cms.vstring("/home/stqian/gridpack/herwig_dyellell012j_5f_NLO_FXFX_slc6_amd64_gcc630_CMSSW_9_3_16_tarball.tar.xz"),
	nEvents = cms.untracked.uint32(5000),
	numberOfParameters = cms.uint32(1),
	outputFile = cms.string('cmsgrid_final.lhe'),
	scriptName = cms.FileInPath('GeneratorInterface/LHEInterface/data/run_generic_tarball_cvmfs.sh')
	)

	"""
	Helper module for displaying ROOT canvases in ipython notebooks

	Usage example:
	# Save this file as rootnotes.py to your working directory.

	import rootnotes
	c1 = rootnotes.default_canvas()
	fun1 = TF1( 'fun1', 'abs(sin(x)/x)', 0, 10)
	c1.SetGridx()