Pandas データ分析を使用したシリーズ

import pandas as pd
import numpy as np
users=['张三','李四','王老五']
series1=pd.Series(users)
print(series1)

0     张三
1     李四
2    王老五
dtype: object

users={'张三':20,'李四':25,'王五':21}
series2=pd.Series(users)
print(series2)

张三    20
李四    25
王五    21
dtype: int64

print(series2.index)

Index(['张三', '李四', '王五'], dtype='object')

print(series2.values)

[20 25 21]

print(series2.values)
print(series2[1])
print(series2['王五'])

25
21

pd.date_range('2022-10-01',periods=4,freq='M')

pd.TimedeltaIndex([10,12,14,16],unit="D")

TimedeltaIndex(['10 days', '12 days', '14 days', '16 days'], dtype='timedelta64[ns]', freq=None)

import numpy as np
import pandas as pd
pd=pd.DataFrame(np.random.randint(1,100,(4,5)),index=['A','B','C','D'])
# pd['A':'C']#通过索引名称取值，结果包含最后一个
pd[0:3]#通过索引下标取值，结果不包含最后一个

conditon=series>50
series[conditon]
或
series[series>50]

	0	1	2	3	4
A	84.0	63.0	76.0	72.0	77.0
B	NaN	96.0	NaN	65.0	NaN
C	NaN	NaN	NaN	81.0	NaN
D	74.0	89.0	NaN	NaN	53.0