import pandas
import os
#
# takes in a 'change' csv file, and writes out a modified csv
#
def create_modified_changedata( changedata, newchangedata ):
with open(changedata) as change, open(newchangedata, "w") as new:
# first, write out the column names
new.write("time,entropy\n")
for line in change:
data = line.split(',')
new.write("{},{}\n".format(data[0],data[1]))
def get_links_to_inflection_files( changedata, coredata ):
files = {}
print(changedata)
print(coredata)
timeids = []
with open(changedata) as change:
# skip the first line
# current format does not have column names, so we don't do this
# next(change)
for line in change:
data = line.split(',')
if float(data[2]) > 0.0:
timeids.append(int(float(data[0])))
df = pandas.read_csv(coredata)
for i in timeids:
dfquery = df[(df["phi"] == -180) & (df["theta"] == -38) & (df["time"] == i)]
files[i] = dfquery.iloc[0]["FILE"]
return files
def create_entropy_feed( outfile, entropydata, imgfiles ):
with open(outfile, "w") as outfile:
outfile.write("""