December 2018
Beginner to intermediate
490 pages
10h 38m
English
Content preview from Data Analysis with PythonBecome 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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SampleData – a simple API for loading data
Loading data into a Notebook is one of the most repetitive tasks a data scientist can do, yet depending on the framework or data source being used, writing the code can be difficult and time-consuming.
Let's take a concrete example of trying to load a CSV file from an open data site (say https://data.cityofnewyork.us) into both a pandas and Apache Spark DataFrame.
Note
Note: Going forward, all the code is assumed to run in a Jupyter Notebook.
For pandas, the code is pretty straightforward as it provides an API to directly load from URL:
import pandas data_url = "https://data.cityofnewyork.us/api/views/e98g-f8hy/rows.csv?accessType=DOWNLOAD" building_df = pandas.read_csv(data_url) building_df
The last statement, ...
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