Completed
- Fill NaN values in moon phase column
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Classroom Contents
Predicting Meteor Showers Using Python and Visual Studio Code
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- 1 - Introduction and agenda
- 2 - Local environment setup
- 3 - Import libraries and data
- 4 - Explore and understand data
- 5 - Define goal of the data exploration
- 6 - Convert months from strings to ints
- 7 - Convert month and day to datetime
- 8 - Question: Why might you manipulate one column at a time?
- 9 - Continue converting month and day to datetime
- 10 - Question: How does Pandas datetime conversion handle cyclical data?
- 11 - Convert hemisphere strings to ints
- 12 - Convert moon phase strings to decimals
- 13 - Cleanse data by dropping unneeded columns
- 14 - Fill NaN values in moon phase column
- 15 - Cleanse data by dropping unneeded columns
- 16 - Review cleansed data
- 17 - Begin creating the prediction function
- 18 - Check to see if city is in list
- 19 - Get the latitude of the city
- 20 - List of constellations that are viewable
- 21 - Return if no constellations are viewable
- 22 - Determine which meteor showers are viewable
- 23 - Gather moon phases for desired dates
- 24 - Question: Why use an "&" operator and not "|"
- 25 - Determine best date based on moon phases
- 26 - Test the new code
- 27 - Add in Chang'e's meteor shower data
- 28 - Recap
