counts.py w/ Pandas

counts.py

import pandas as pd
import json
import sys
import datetime as dt

data = json.load(open(sys.argv[1]))
df = pd.DataFrame(data["entries"])
df['date'] = pd.to_datetime(df['date'])

# non merge - This doesn't affect the trend it turned out.
df = df[False == df['subject'].str.contains("Merge")]
# recent
limit = dt.datetime.now() - dt.timedelta(360)
df = df[df['date'] > limit]

print df.groupby('author').count().sort("date", ascending=False)