from pandas import Series
#matplotlib, pandas_datareader
#Series1 선언
series1 = Series([92600, 92400, 92100, 94300, 92300])
#출력
print(series1)
#총 개수
print('count',series1.count())
#요약
print('count',series1.describe())
#인덱스 접근
print(series1[0])
#Series2 선언
series2 = Series([92600, 92400, 92100, 94300, 92300], index=['2018-02-19','2018-02-18','2018-02-17','2018-02-16','2018-02-15'])
#출력2
print(series2)
#인덱스 순회
for date in series2.index:
print('date',date)
#값 순회
for price in series2.values:
print('price',price)
#Series3 선언
series_g1 = Series([10, 20, 30], index=['n1', 'n2', 'n3'])
series_g2 = Series([10, 30, 20], index=['n2', 'n1', 'n3'])
#Series 병합 & 계산
sum = series_g1 + series_g2
mul = series_g1 * series_g2
cul = (series_g1 * series_g2) * 0.5
#출력
print('sum')
print(sum)
print('mul')
print(mul)
print('cul')
print(cul)
from pandas import Series, DataFrame
import sys
import io
#Dict 선언
r_data = {'City': ['서울','대구','부산','대전'], 'Total1':[55000, 47000, 49000, 42000], 'Total2': [65000, 57000, 53000, 48000]}
i_data = ['one','two','three','four']
#출력1
print(type(r_data))
print(r_data)
#DataFrame 정의
d_frame = DataFrame(r_data, index=i_data)
#d_frame = DataFrame(r_data, columns=['Total1', 'Total2', 'City'])
#출력2
print(type(d_frame))
print(d_frame)
print(d_frame.index)
print(d_frame.values)
print(d_frame['City']) #columns
print(d_frame.ix['one']) #rows
#요약
print(d_frame.describe())
#값 순회
for e in d_frame.values:
for i, z in enumerate(e):
pass
print(i,z)
