Created
September 20, 2012 16:11
-
-
Save sburns/3756832 to your computer and use it in GitHub Desktop.
v1 at converting eprime .txt to pandas.DataFrame
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pandas as pd | |
F = '/fs0/New_Server/RC_LMS/In_Behavioral/028_207757/PassagesV2_ListA-7757-1.txt' | |
def parse(f): | |
data = {} | |
text = open(f).read().decode('utf-16').replace('\r\n', '\r').splitlines() | |
start_ind = (i for i, _ in enumerate(text) if _ == '\t\t*** LogFrame Start ***') | |
end_ind = (i for i, _ in enumerate(text) if _ == '\t\t*** LogFrame End ***') | |
for i, se in enumerate(zip(start_ind, end_ind)): | |
s, e = se | |
for row in text[s + 1: e]: | |
k, v = row.strip().replace(': ', ':').split(':') | |
if k not in data: | |
data[k] = [[], []] | |
data[k][0].append(v) | |
data[k][1].append(i) | |
# Massage | |
new_data = {} | |
for k, v in data.items(): | |
ser = pd.Series(v[0], index=v[1]) | |
new_data[k] = ser | |
return pd.DataFrame(new_data) | |
df = parse(F) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment