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# Thomas A Caswell tacaswell

• Brookhaven National Lab
• New York
Created Feb 11, 2022
Notes on conda "overlays"
View overlays.md

# Hot-fixing and extending conda environments

## Introduction

We deploy root-owned conda environments which are the basis of the data collection and analysis environments. On one hand because these are owned by root they are write-protected and ensure that users can not accidentally break the environment, on the other hand because they are write-protected they can not be upgraded or extended. While we want to run with a stable, standard, well understood software environment, we do need this

Last active Jan 27, 2022
datathoughts
View datathoughts.py
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 import numpy as np import matplotlib import matplotlib.lines from matplotlib.artist import allow_rasterization import matplotlib.pyplot as plt class MatplotlibException(Exception): ...
Last active Oct 27, 2021
What time is it where your friends are?
View world_clock.py
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 #! /usr/bin/env python3 _facilities = { "SLAC/ALS": "America/Los_Angeles", "APS": "America/Chicago", "NSLS-II": "America/New_York", "DLS": "Europe/London", "MAXIV": "Europe/Paris", "SLS": "Europe/Paris",
Last active Aug 13, 2021
A quick little function to walk through the axes in a Figure instance and label each one with annotate.
View label_axes_iterate.py
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 import string from itertools import cycle from six.moves import zip def label_axes(fig, labels=None, loc=None, **kwargs): """ Walks through axes and labels each. kwargs are collected and passed to annotate
Last active May 27, 2021
factory for adding zoom callback to matplotlib graphs
View simp_zoom.py
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 import matplotlib.pyplot as plt def zoom_factory(ax,base_scale = 2.): def zoom_fun(event): # get the current x and y limits cur_xlim = ax.get_xlim() cur_ylim = ax.get_ylim() # set the range cur_xrange = (cur_xlim[1] - cur_xlim[0])*.5
Last active Feb 18, 2021
Files for working with reduced data from 2020-12 experiments at XPD

# Collection of notebooks an files for playing with gpcam data

1. explore_pgcam_data.ipynb -> demo of how to pulll reduced data out of the msgpack databroker
2. extract.py -> code run on xpd against raw data broker to sort out what raw runs we are interested in
3. reprocess.py -> code run to re-process the raw data and produce the reduced outputs
Created Jan 17, 2013
Format nicely printed labels based on pi for matplotlib x-axis
View pi_format.py
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 def format_frac(fr): '''Convert a/b to latex''' sp = str(fr).split('/') if len(sp) == 1: return sp[0] else: return r'$\frac{%s}{%s}$' % tuple(sp) frac_size = 4
Created May 16, 2020
Example of how to ingest sensord logs (from journalctl) to EventModel
View ingest_sensord.py
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 from event_model import compose_run import datetime import dateutil.parser import itertools from io import StringIO import subprocess import numpy as np import functools def extract_event(ts, batch):
Created Apr 8, 2020
trace back -> IPython exit
View ironmanpython.txt
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 Python 3.9.0a5+ (heads/master:799d7d61a9, Apr 6 2020, 17:38:49) Type 'copyright', 'credits' or 'license' for more information IPython 8.0.0.dev -- An enhanced Interactive Python. Type '?' for help. In [1]: 1 /0 Traceback (most recent call last): File "/home/tcaswell/.virtualenvs/bleeding/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3331, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 1, in 1 /0
Last active Apr 2, 2020
ingest xpd chi files