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What is pandas?

Pandas is a powerful tool set for analyzing structured data; it is based on Numpy (which provides high-performance matrix operations); it is used for data mining and data analysis, as well as data cleaning capabilities.

Feature: DataFrame

DataFrame is a tabular data structure in Pandas, which contains a set of ordered columns, each of which can be a different value type (value, string, Boolean, etc.), DataFrame has both row index and column index, and can be regarded as a dictionary made up of Series.

Feature: Series

It is an object similar to a one-dimensional array, consisting of a set of data (various NumPy data types) and a set of related data tags (that is, indexes). Simple Series objects can also be generated from a single set of data.

As Easy as 1, 2, 3

  1. # 1. Installation package
  2. $ pip install pandas
  4. # 2. Enter the interactive interface of python
  5. $ python -i
  7. # 3. Using Pandas
  8. >>> import pandas as pd
  9. >>> df = pd.DataFrame() 
  10. >>> print(df)
  12. # 4. Output result
  13. Empty DataFrame
  14. Columns: []
  15. Index: []

Contact information

  • 📮Email: l@numpy.org.cn
  • 📩WeChat: iamnotahacker(If you want to join our group)

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