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import numpy as np | |
import rasterio | |
""" | |
2014-02-13 | |
Bryan Luman | |
Use it however you like at your own risk | |
Problem: | |
I have a huge DEM converted from LiDAR LAS points. I'd like to make it slightly |
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# Create data frame 1 | |
x = c("ID1","ID2","ID3","ID4","ID5") | |
y = c("C1","C2","C3","C4","C5") | |
d1 = data.frame("SiteID" = x, "Value" = y) | |
d1 | |
# Create lookup table | |
x = c("ID2","ID5") | |
y = c("C5","C2") | |
lookup = data.frame("SiteID" = x, "Value" = y) | |
lookup |
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import pysal as ps | |
import pandas as pd | |
''' | |
Arguments | |
--------- | |
dbfile : DBF file - Input to be imported | |
upper : Condition - If true, make column heads upper case | |
''' | |
def dbf2DF(dbfile, upper=True): #Reads in DBF files and returns Pandas DF | |
db = ps.open(dbfile) #Pysal to open DBF |
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#predData is dataframe of predictor variable where 1st column is a unique site ID | |
vect = names(predData)[2:length(predData)] | |
combos = cbind(combn(vect, 2)[1,], combn(vect, 2)[2,]) | |
#Useful for comparing pairwise combo models | |
combos = data.frame(combos); combos$AUC <- 0.0 | |
names(combos) <- c('Pred1','Pred2','AUC') |
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path = 'xyz/' | |
mask_grid = path + 'nlcd2006.tif' | |
arcpy.env.mask = mask_grid | |
PCH = path + 'PCH.tif' | |
PCH = Con(IsNull(PCH),0,PCH) | |
PCH.save(path + 'PCH2.tif') |
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