Shulou(Shulou.com)06/02 Report--

In this issue, the editor will bring you about how to achieve mathematical statistics in python. The article is rich in content and analyzes and narrates it from a professional point of view. I hope you can get something after reading this article.

Construct an array to receive data

B = [19, 23, 30, 23, 41, 15, 21, 20, 27, 29, 38, 19, 22, 19, 22, 19, 22, 19, 19, 22, 19, 19, 22, 19, 19, 14, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 10, 10, 10, 10, 10, 10, 10, 10, 10, 14, 14, 10, 6, 6, 4, 6, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 24, 18, 18, 24]

Sort the data from small to large

C=sorted (b)

Import pandas Library

Import pandas as pd

Sort and calculate with pandas

Df=pd.Series (c)

Print (df)

Print (df.median ()) # median

Print (df.quantitle (quartile 0.25)) # quartile

Print (df.mode ()) # count the crowd

Print (df.std ()) # calculate the standard deviation

Print (df.var ()) # find the variance

Print (df.sum ()) # summation

Print (df.skew ()) # calculating skewness coefficient

Print (df.kurt ()) # calculating kurtosis coefficient

Print (df.sample (nasty 10)) # takes ten samples

The result is shown in the figure:

The above is the editor for you to share how to achieve mathematical statistics in the python, if there happen to be similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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