wes mckinney python for data analysis

[Python Data Analysis] Python3 multi-thread concurrent web crawler-taking Douban library Top250 as an example, python3top250 Based on the work of the last two articles [Python Data Analysis] Python3 Excel operation-Take Douban lib

Most of the students who Do data analysis start with excel, and Excel is the most highly rated tool in the Microsoft Office Series.But when the amount of data is very large, Excel is powerless, python Third-party package pandas greatly extend the functionality of excel, the entry takes a little time, but really is the

Data volume: 3,289,329 people.Data acquisition tool: Distributed Python crawlerAnalysis tool: ElasticSearch + KibanaAnalysis angle: geographical location, gender ratio, all kinds of rankings, universities, active level.Please note:All of the following analysis results are based on the personal information of the 3 million users I crawl, non-authoritative

Python for data analysis: Related Package installation, pythonpackage 1. Why use Python for data analysis? Python has a huge and active scientific computing community with improved libr

NumPy as Npimport random #这里的random是python内置的模块import Matplotlib.pyplot as Pltposition = 0walk = [position]steps = 1000for i in xrange (steps): step = 1 if random.randint (0,1) else-1 position + = Step walk.append (position) plt.plot (walk) plt.show () #下面看看简单的写法nsteps = 1000draws = Np.random.randint (0,2,size = Nstep S) steps = Np.where (draws > 0,1,-1) walk = steps.cumsum () plt.plot (walk) plt.show () #argmax函数返回数组第一个最大值的索引, But in this argmax is

The Pandas object has some common mathematical and statistical methods. For example, the sum () method, which makes the column subtotal: the sum () method passed in Axis=1 is specified as a horizontal summary, which is subtotal: Idxmax () gets the index of the maximum value: There is also a rollup that is cumulative, cumsum (), compared to it and Su The difference between M ():The unique () method is used to return only values in the data: the Value_

C, C + +, FORTRAN code integration into Python tools Pandas: A large number of data structures and functions that handle structured data Precise indexing, reshaping, slicing, chopping, aggregating, selecting subsets High performance time series features and tools Matplotlib: The most popular library for plotting

[Python Data Analysis] solve and optimize some problems in Python3 Excel (2), pythonpython3 After the previous article titled "Python Data Analysis" and "Excel in Python3"-taking Douban book Top250 as an example to crawl the top P

Before doing data analysis, many are using Oracle or MySQL, SQL to complete the query and statistical data analysis, but with the increase in data volume, the database with the development of a NoSQL database, due to the changes in the database and its underlying technology

QQ space Python crawler v2.0 -- thumb up data analysis, pythonv2.0 -- After remembering the previous v1.0 space crawler, I want to write another crawler to analyze my likes. FirstAnalyze Json: You can find that the node for thumb ups isData --> vFeeds (list) --> like --> likemans (list) --> user --> nickname uin The Code is as follows: 1 for I in range (0, pa

`Database', type, 'Key', Encoding,Count(`Database`) asRecord_count,SUM(size_in_bytes) asSize_in_bytes_sum,AVG(size_in_bytes) asSize_in_bytes_avg fromRedis_hotWHERE`Key` like 'user_last_3_day_duration:%'/*Here you can continue to use the Union and check other names of key specific analysis data, the following line of code is generated redis_key_storage.csv file, if commented out, you can directly in the Navi

Numpy (numerical Python) Foundation package for high performance scientific computing and data analysis; Ndarray, multi-dimensional Array (matrix), with vector computing ability, fast, save space; Matrix operations, without loops, can be done similar to MATLAB in the vector operation; Linear algebra, random send generation; Ndarray, n-di