Skip to content

Instantly share code, notes, and snippets.

Avatar

Thomas A Caswell tacaswell

View GitHub Profile
@tacaswell
tacaswell / demo.py
Created Nov 15, 2022
two slope scale for Matplotlib
View demo.py
import itertools
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.scale as mscale
def factory(break_point, slope_ratio):
def forward(values):
out = np.array(values, copy=True)
out -= break_point
@tacaswell
tacaswell / miniplotlib.py
Created Sep 6, 2022
Minimal functional Matplotlib
View miniplotlib.py
from types import SimpleNamespace
import matplotlib.image as mimage
from matplotlib.patches import Rectangle
from matplotlib.backends.backend_agg import RendererAgg
import matplotlib.transforms as mtransforms
import matplotlib.path as mpath
import matplotlib.colors as mcolors
import numpy as np
@tacaswell
tacaswell / overlays.md
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

@tacaswell
tacaswell / world_clock.py
Last active Oct 27, 2021
What time is it where your friends are?
View world_clock.py
#! /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",
@tacaswell
tacaswell / README.md
Last active Feb 18, 2021
Files for working with reduced data from 2020-12 experiments at XPD
View README.md

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
@tacaswell
tacaswell / ingest_sensord.py
Created May 16, 2020
Example of how to ingest sensord logs (from journalctl) to EventModel
View ingest_sensord.py
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):
@tacaswell
tacaswell / ironmanpython.txt
Created Apr 8, 2020
trace back -> IPython exit
View ironmanpython.txt
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 "<ipython-input-1-a37332903225>", line 1, in <module>
1 /0
@tacaswell
tacaswell / README.md
Last active Apr 2, 2020
ingest xpd chi files
View README.md

This is code to consume processed data from XPD back into document model

View datathoughts.py
import numpy as np
import matplotlib
import matplotlib.lines
from matplotlib.artist import allow_rasterization
import matplotlib.pyplot as plt
class MatplotlibException(Exception):
...
@tacaswell
tacaswell / .gitignore
Last active Sep 18, 2019
Slides for h5py update
View .gitignore
*.h5
.ipynb_checkpoints/