Data Analysis Based on Python——Taking Fund Trend Analysis As an Example

With its concise and clear syntax and rich third-party library resources, python has achieved remarkable results in big data collection, analysis, preprocessing and visualization. This paper takes the stock funds in the market as a sample, through data analysis means such as data table inspection, data table cleaning, data preprocessing, data extraction, data screening and summary, and data visualization, and taking the National Planning as the background, carries out screening statistical analysis on the fund data from the Perspective of industry, and classifies the industry proportion, industry popularity ranking, fund quantity statistics The fund net value trend analysis is visually displayed in a more intuitive way, so as to provide practical reference value for further understanding the fund development.