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catalogue Draw a line chart 1 import pyplot 2 set the size of the drawing 3 drawing 3.1 setting the style of graphics 4 adjust the scale of the coordinate axis 5. Display and save graphics 6 Display Chinese in graphics 6.1 method 1: global setting (valid under Windows and Linux) 6.2 method 2: set Chinese font 7. Setting description i ...

Competition background Based on the analysis of network public opinion, the competition questions require players to conduct data analysis and visualization of brand issues according to users' comments. Through this competition question, we can guide the commonly used data visualization charts and data analysis methods to conduct exploratory d ...

DataFrame is a tabular data structure. It contains a set of ordered columns. Each column can be of different value types (numeric value, string, Boolean value, etc.). DataFrame has both row indexes and column indexes. Compared with other similar data structures (such as R's data.frame), the row oriented and column oriented operations of DataFra ...

preface I Getting started with Numpy NumPy (Numerical Python) is an open source numerical calculation extension of Python. It provides multidimensional array objects and various derived objects (such as mask arrays and matrices). This tool can be used to store and process large matrices, which is much more efficient than Python's own nest ...

Pandas document learning 0. Introduction What is Pandas? Pandas is a powerful tool set for analyzing structured data; Its use is based on Numpy (providing high-performance matrix operation); It is used for data mining and data analysis, and also provides data cleaning function. One of the sharp tools: DataFrame DataFrame is a tabular data ...

The two common data types are datetime and timedelta. As the name suggests, datetime means both date and time, indicating a specific point in time (timestamp). 2021-12-23 (date) 12:00:00 (time)  ---> datetime Timedelta indicates the difference between two time points. For example, the timedelta between 2020-01-01 and 2020-01-02 is one ...

It takes about 5 minutes to read this article Main contents: Excel office automation and data analysis Applicable population: office staff / Python beginners / personnel interested in data analysis Preparation content: Anaconda Spyder, Pandas Library If you will not install the library, you can refer to the following tutorials: How An ...

Tide information analysis (1) Climb cninfo Vanke A website to download pdf (2) Filter specified fields from pdf (3) Visual analysis using python preface Bloggers need to crawl the pdf of the annual report of the specified company in the tide information, download it, filter the specified fields of the pdf, and then conduct visual analys ...

Sometimes you may have some crazy ideas and want to test your trading strategy. By using historical market data for backtesting, you can assess risk, profit and measure performance, so as to gain confidence in using this trading strategy. Of course, if you are a skilled programmer, you have no problem writing complex and heavily loaded programs ...

1 Preface The golden three silver four has just passed, and the autumn move is coming. In the busy and rolling season, the author once dreamed of grabbing all the positions in his favorite company with one click, and then breaking them one by one according to his own strengths and job hunting willingness to harvest a basket of offer s. In fact ...