from pandas import DataFrame
import json
import sys
import util
input = open(sys.argv[1],'r')
divisions = json.loads(input.readline())
user_dataframe = DataFrame.from_csv("LocalData/user.csv")
time_list = user_dataframe['created_at']
for i in range(len(divisions)-1):
count = util.count_ele(time_list,divisions[i],divisions[i+1])
print count
from pandas import DataFrame
import json
import sys
import util
input = open(sys.argv[1],'r')
gaps = json.loads(input.readline())
user_dataframe = DataFrame.from_csv("LocalData/repo.csv")
star_list = user_dataframe['watchers']
start = 0
for i in range(len(gaps)):
count = util.count_ele(star_list, start, start+gaps[i])
start += gaps[i]
print count
from pandas import DataFrame
import json
import sys
import util
input = open(sys.argv[1], "r")
gaps = json.loads(input.readline())
user_dataframe = DataFrame.from_csv("LocalData/repo.csv")
fork_list = user_dataframe["forks"]
start = 0
for i in range(len(gaps)):
count = util.count_ele(fork_list, start, start + gaps[i])
start += gaps[i]
print count
from pandas import DataFrame
import json
import sys
import util
# Param:
# A list of integers(JSON) as gap for the ranges.
# Result:
# Lines of integers telling number of users in each range.
input = open(sys.argv[1],'r')
gaps = json.loads(input.readline())
user_dataframe = DataFrame.from_csv("LocalData/user.csv")
follower_list = user_dataframe['followers']
start = 0
for i in range(len(gaps)):
count = util.count_ele(follower_list,start,start+gaps[i])
start += gaps[i]
print count