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Pandas, Hands-On Data with Python

Data Science

Core pandas · Lesson 5 of 10

Summary functions and maps

Describing and transforming

pandas has built in functions to summarize data fast.

  • describe() gives count, mean, min, max and more
  • mean(), max(), min(), sum() work on a column
  • value_counts() shows how often each value appears

To transform a column, do math on it directly, or create a new column from a calculation.

Python

Exercise

Exercise — check your understanding

The temps DataFrame holds daily temperatures. Compute the average of the celsius column and store it in avg.

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