NUM_VALUES = 10
index = [chr(i) for i in range(97,97 + NUM_VALUES)]
print(index)
s1 = Series(np.linspace(1,5,NUM_VALUES), index=index)
s2 = Series(np.linspace(1,5,NUM_VALUES))
print(s1, "\n")
print(s2, "\n")
print(s1[['h','b']], "\n")
print(s1[['a','b','c']], "\n")
print(s1.sum(), s1.mean(), s1.min(), s1.max(), "\n")
print(s1.cumsum(), s1.cumprod(), s1.std(), "\n")
print('a' in s1)
print('m' in s1)
s3 = s1 * 10
print(s3, "\n")
print(s3 > 25, "\n")
s3[s3 < 25] = -1
print(s3, "\n")
s4 = Series([-0.204708, 0.478943, -0.519439])
print(s4.max(), s4.min(), s4.max() - s4.min())
#!/usr/bin/env python
"""
@author: jstrick
Created on Sat May 18 16:20:49 2013
"""
from pandas.core.frame import Series
# create from list
s1 = Series([5, 10, 15])
print(s1, "\n")
print("s1[0]:", s1[0], "\n")
print('-' * 60)
# create from list with index
s2 = Series([5, 10, 15], ['a', 'b', 'c'])
print(s2, "\n")
print("s2['a']:", s2['a'])
print('-' * 60)
# create from dictionary (keys are indices)
s3 = Series({'b': 10, 'a': 5, 'c': 15})
print(s3, "\n")
print("s3.sum(), s3.mean():", s3.sum(), s3.mean())
print('-' * 60)
