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Characteristics of Pandas Dataframes

  1. In Pandas dataframe each column can have a label name. It can contain different types of data.
  2. Each rows has its own index within a range beginning from at [0]. The rows index can also be sets as labels.
  3. All cells have both a row index and a column index.
  4. We can select cells on location-based indexing. We can also query for data within dataframes based on specific values.
  5. Some cells must have null values because of inherent tabular structure.
  6. We can perform arithmetic operations on rows and columns.
  7. It has labeled axes.
  8. It has mutable size.
  9. It is heterogeneous.
  10. Each column in a dataframe is a series.
Submitted by devanshi.srivastava on February 10, 2021

Devanshi, is working as a Data Scientist with iVagus. She has expertise in Python, NumPy, Pandas and other data science technologies.

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