| 知乎专栏 |
Series：是一种类似于一维数组的对象，是由一组数据和一组与之相关的数据标签(即索引)组成。
Series 创建方式有两种：
Series 参数:
import pandas as pd
print('-' * 20, '通过数组创建 Series', '-' * 20)
ser = pd.Series(['a', 'b', 'c', 'd', 'e'])
print(ser)
print('-' * 20, '通过列表创建 Series', '-' * 20)
ser = pd.Series(list(range(5)), index=['a', 'b', 'c', 'd', 'e'])
print(ser)
print('-' * 20, '通过字典创建 Series', '-' * 20)
d = {'a': 1, 'b': 2, 'c': 3}
ser = pd.Series(data=d, index=['a', 'b', 'c'])
print(ser)
print('-' * 20, '指定常量创建 Series', '-' * 20)
ser = pd.Series(5, index=[1, 2, 3, 4, 5])
print(ser)
import pandas as pd s1 = pd.Series(data=[1, 2, 3, 4, 5], index=["a", "b", "c", "d", "e"]) s2 = pd.Series(data=[1, 2, 3, 4, 5], index=["a", "b", "c", "e", "f"]) ser = s1 + s2 print(ser)
a 2.0 b 4.0 c 6.0 d NaN e 9.0 f NaN dtype: float64
import pandas as pd
import string
data = [chr(x) for x in range(ord('a'), ord('z') + 1)]
res = pd.Series(data, index=list(string.ascii_lowercase))
# 原始数据
print(res)
# 查看前三个
print(res.head(3))
# 查看后两个
print(res.tail(2))
print('-' * 20, '筛选出非空的正常数据', '-' * 20)
print(ser[ser.notnull()])
print('-' * 20, '筛选出空的数据', '-' * 20)
print(ser[ser.isnull()])