In this video, see how to use string handling.
- [Instructor] String handling generally have names…matching the equivalent scaler built in string methods…that are available in Python.…These are available under the str attribute.…Using the str attribute,…you have access to several common string methods,…such as contains, startswith, isnumeric and so on.…Let's head over to the Jupyter notebook…to have a look at a couple of examples.…Let's say we want to look up the legendary Flo Jo,…who is the fastest woman ever.…
Her time for the 100 meter sprint from 1988…is still the fastest time recorded today.…Now if you're like me, you can't remember her full name.…We know her name is Flo Jo, so her first name is Florence.…So I go to my data frame, Athlete,…and I now use the new string attribute str.contains,…and I search for Florence.…If I want to see where this is true,…so I want to see the rows where this is true,…I enter this in square brackets,…and I can see a couple of Florences.…
So, Florence Syers and so on.…Clearly the one that we're looking for is Flo Jo…from the USA who ran the 100 meters and 200 meters in 1988.…
- Working with plots
- Boolean indexing
- String handling
- Grouping data
- Creating your own colormaps
Skill Level Intermediate
1. Technical Setup
2. Series and DataFrames
3. Data Input and Validation
4. Basic Analysis
5. Basic Plotting
9. Data Visualizations
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