datacamp python data visualization

I. Overview of the sceneOn the 3rd day of the new company, I received a mission to get information about more than 100 physical servers, including: hostname, IP address, number of disks, disk device number. The sad reminder is that the existing production environment does not have any tools to do this, I would like to use ansible to do, but because of ansible is not very familiar with, so decided to hand-off a script to achieve, so it is the birth of this script.Second, the basic idea of the scr

This article records some of the knowledge that appears in the book, convenient to use when the query. Implied volatility rate The implied volatility is the value of those fluctuations in the price of different options and the market quotations measured on the maturity date under other conditions unchanged.In this case, the implied volatility is not the input parameter of the model/formula, but the result of a digital optimization process of the Formula 4.1 basic

Matplotlib is a common data visualization tool used in Python, and is a bit similar to MATLAB. Calls are simple and powerful. You can install it from the command line pip install matplotlib under Windows.Here are some examples of basic use:1. Draw a straight lineFirst generate a set of data on line y = 5 * x + 5 by Num

= bra.productSize.str.findall(‘[a-zA-Z]+‘).str[0] #新增列cupcup2 = cup.str.replace(‘M‘,‘B‘)cup3 = cup2.str.replace(‘L‘,‘C‘)cup4 = cup3.str.replace(‘XC‘,‘D‘)bra[‘cup‘] = cup4 bra.head()bra[‘cup‘].unique() #查看cup唯一值Data conversionbra.productColor.unique() #查看productColor唯一值def getColor(s): if ‘黑‘ in s: return ‘黑色‘ elif ‘肤‘ in s: return ‘肤色‘ elif ‘蓝‘ in s: return ‘蓝色‘ elif ‘红‘ in s: return ‘红色‘ elif ‘紫‘ in s:

Matplotlib is a common data visualization tool used in Python, and is a bit similar to MATLAB. Calls are simple and powerful. You can install it from the command line pip install matplotlib under Windows. Here are some examples of basic use: 1. Draw a straight line First generate a set of data on line y = 5 * x + 5 by