November 2022
Intermediate to advanced
392 pages
10h 8m
Chinese
Content preview from Python算法交易
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Python
、
NumPy
、
matplotlib
和
pandas
｜
363
In [164]: df.mean(axis=1)
Out[164]: 2022-01-31 -0.169670
2022-02-28 0.074664
2022-03-31 0.077202
2022-04-30 -0.123965
2022-05-31 -0.718767
2022-06-30 -0.495280
2022-07-31 -0.511875
2022-08-31 -0.102843
2022-09-30 0.328859
2022-10-31 0.460191
Freq: M, dtype: float64
In [165]: np.mean(df)
Out[165]: no1 -0.798847
no2 -0.227665
no3 0.672067
dtype: float64
对所有元素进行标量乘法（向量化）。
计算列标准差……
……和平均值。对于
DataFrame
对象，默认是按列操作。
计算每个索引值的平均值，即按行计算。
将
NumPy
的函数应用到
DataFrame
对象上。
数据选择
可以通过不同的机制查找数据块。
In [166]: df['no2']
Out[166]: 2022-01-31 ...
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