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周末的时候,带着兔子看了兽医。
医生的并没有做什么血检什么,询问了情况,做了一些视查。她认为嘟嘟可能是有些神经症,某种神经萎缩,造成的肌肉萎缩。她的体重变化,就是因为失去了大量的肌肉造成的。跟年龄有关系,但主要还是疾病造成了现在的状况。
现在已经是晚期了,医生说。
于是,拿了一些流食,一些消炎止痛药,回家了。这些都不太可能减缓病程,只是在最后,减轻一下她的痛苦。
到现在看来,虽然有了止疼药和流食,她还是每况愈下。不免让人担心。


Historical financial data is monitored and recorded by computer and saved for us to pore over later but there are many ways the data can be faulty.
In this lesson: how missing data can occur and what we can do about it.
Time: 00:00:27

Lesson outline
Pandas makes it very convenient to compute various statistics on a dataframe:
- Global statistics: mean, median, std, sum, etc. [more]
- Rolling statistics: rolling_mean, rolling_std, etc. [more]
You will use these functions to analyze stock movement over time.
Specifically, you will compute:
- Bollinger Bands: A way of quantifying how far stock price has deviated from some norm.
- Daily returns: Day-to-day change in stock price.