July 25, 2022, 4:04 p.m. | Marie Truong

Towards Data Science - Medium towardsdatascience.com

Photo by Element5 Digital on Unsplash

Pandas DataFrames can be a very convenient way to read, edit and visualize small tabular data. But they also come with a few major downsides:

  • They don’t work well with Python native data types
  • They are not convenient with nested data
  • Some operations can be very slow
  • They take a lot of space

When fetching data from an API, the API will likely return a JSON string. Although there is a way to convert …

dataframes json lists pandas python

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