LA City Expenditures by Month Since 2012


In [1]:
import pandas as pd
import numpy as np

In [2]:
data = pd.read_csv("City_Expenditures_by_Month.csv")
data.head()


Out[2]:
FISCAL YEAR FISCAL MONTH NAME DEPARTMENT NAME ACCOUNT NAME EXPENDITURES FUND NAME ACCOUNT GROUP NAME ACCOUNT GROUP FISCAL MONTH NUMBER FISCAL PERIOD FUND DEPARTMENT ACCOUNT
0 2015 APRIL AGING SALARIES GENERAL $236359.02 GENERAL FUND (GENERAL BUDGET) SALARIES AND BENEFITS SAL 10 201510 100 2 001010
1 2015 APRIL AGING SALARIES AS NEEDED $13824.46 GENERAL FUND (GENERAL BUDGET) SALARIES AND BENEFITS SAL 10 201510 100 2 001070
2 2015 APRIL AGING TRAVEL $5441.68 GENERAL FUND (GENERAL BUDGET) EXPENSES EXP 10 201510 100 2 002130
3 2015 APRIL AGING CONTRACTUAL SERVICES $18670.61 GENERAL FUND (GENERAL BUDGET) EXPENSES EXP 10 201510 100 2 003040
4 2015 APRIL AGING TRANSPORTATION $250.00 GENERAL FUND (GENERAL BUDGET) EXPENSES EXP 10 201510 100 2 003310

In [3]:
len(data)


Out[3]:
70065

In [ ]: