December 2015
Beginner to intermediate
202 pages
4h
English
Content preview from Python Business Intelligence CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Getting a count of unique values for a single column
Pandas make it very easy to get the count of unique values for a single column of a DataFrame. Information like this can easily be used to create charts that help us better understand the data we're working with.
How to do it…
- To get a count of the unique values for a single column of a Pandas DataFrame, begin by importing the required libraries:
import pandas as pd
- Next, import the dataset from the CSV file:
accidents_data_file = '/Users/robertdempsey/Dropbox/private/Python Business Intelligence Cookbook/Data/Stats19-Data1979-2004/Accidents7904.csv' accidents = pd.read_csv(accidents_data_file, sep=',', header=0, index_col=False, parse_dates=['Date'], dayfirst=True, tupleize_cols=False, error_bad_lines=True, ...
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