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Levi John Wolf ljwolf

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ljwolf / gist:61bbfdb70852e4d40aac
Created November 19, 2014 04:32
folium_notebook
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@ljwolf
ljwolf / gist:7498bb6eab38b199d1bd
Created January 14, 2015 01:27
Floyd Warshall for PySAL Networks
import pysal as ps
#Lots of reload for dev.
try:
reload(network)
except:
import network
try:
reload(analysis)
@ljwolf
ljwolf / fw.py
Created February 18, 2015 20:47
Floyd-Warshall for PySAL Networks
#!/bin/python
##ljw
##./$GIT_ROOT/pysal/network/fw.py
from collections import defaultdict
import pysal as ps
import numpy as np
ntw = ps.network.network.Network(ps.examples.get_path('geodanet/streets.shp'))
def floyd_warshall(ntw, cost = None, directed = False):
@ljwolf
ljwolf / esda: test_smoothing.py
Last active August 29, 2015 14:24
Pysal 2to3 nose errors
................F...
======================================================================
FAIL: test_assuncao_rate (__main__.TestUtils)
----------------------------------------------------------------------
Traceback (most recent call last):
File "pysal/esda/tests/test_smoothing.py", line 236, in test_assuncao_rate
exp_assuncao, sm.assuncao_rate(e, b)[:4])
File "/usr/lib/python3.4/site-packages/numpy/testing/utils.py", line 842, in assert_array_almost_equal
precision=decimal)
File "/usr/lib/python3.4/site-packages/numpy/testing/utils.py", line 665, in assert_array_compare
@ljwolf
ljwolf / induce.py
Last active April 15, 2016 23:19
inducing bug #587
import pysal as ps
import numpy as np
df = ps.pdio.read_files(ps.examples.get_path('columbus.shp'))
W = ps.queen_from_shapefile(ps.examples.get_path('columbus.shp'))
y = df['HOVAL'].values
y.reshape(W.n,1)
X = df[['CRIME', 'INC']].values
@ljwolf
ljwolf / A Model Proposal.ipynb
Last active May 20, 2016 20:42
RFC for ljwolf's GSOC
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@ljwolf
ljwolf / call_notes.md
Created May 25, 2016 08:19

Notes from ljwolf's GSOC call, 5/23

  • Blog posts proceeding fine, should be simple to continue making them on schedule, at the pace at which I blog normally.
  • Questions about Request for Comment:
    • What should I prioritize? NOGR or Labeled Array Interface?
      • Labeled Array. This is critical to get correct, and will make NOGR need and scope clearer.
  • How deep into PySAL should the Labeled Array interface go?
@ljwolf
ljwolf / final_submission.ipynb
Last active February 14, 2017 18:09
Overview of Labelled Array Development work
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@ljwolf
ljwolf / rolling_strings.py
Last active June 14, 2018 19:15
Pandas Rolling String example
import pandas as pd
import string
df = pd.DataFrame([[*string.ascii_letters[0:26:2]],
*string.ascii_letters[1:26:2]])
rolled = df.rolling(window=2, center=False, axis=1).apply(lambda x: ''.join(x))
#expected: [['ac', 'ce', 'eg', 'gi', 'ik', 'km', 'mo', 'oq', 'qs', 'su', 'uw', 'wy'],
# 'bd', 'df', 'fh', 'hj', 'jl', 'ln', 'np', 'pr', 'rt', 'tv', 'vx', 'xz']]
print(rolled.values)
@ljwolf
ljwolf / divergent_convergence_diags.ipynb
Created September 29, 2016 04:11
While poking around some traces, I was surprised by discrepancies between PyMC3 and the R CODA package for convergence diagnostics. So, I documented the differences I saw in one of the estimators in the following notebook.
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