The use of the Pandas library for analyzing data arrays is considered, the advantages of this library for performing actions with numerical data and time series presented in the form of numerical tables. For comparison, the disadvantages of processing data arrays in Excel using trend analysis models, such as linear, logarithmic, polynomial, power, exponential, are indicated. The ability to process data by the Pandas library from different software environments, such as HTML and data buffers.