Pandas & Data Analysis·Pandas from first Series to analysis project

Setup and Series

Install Pandas and understand a Series as labelled one-dimensional data.

Beginner 12 min read Lesson 1 of 300 Challenge included

What you will be able to do

Install pandas and numpy in a virtual environment.
A Series has values and an index.
Use .head() and .describe() to inspect.
Prefer vectorised operations over Python loops.

In plain English

A Series is a column with an index. The index makes alignment possible: operations line up by label, not position. That is the idea that makes the rest of Pandas make sense.

series.pyPython

import pandas as pd

minutes = pd.Series([12, 18, 9], index=['HTML', 'CSS', 'SQL'])
print(minutes)
print(minutes.mean())
print(minutes[minutes >= 12])

Your turn

Create a Series

Easy

Create a Series of three lesson minute values with named labels and print the mean.

PYTHON · starter

import pandas as pd

Check your understanding before moving on.

Knowledge checkQuestion 1

What makes a Series different from a plain list?

Select an answer to continue

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