Editing Community Data Science Course (Spring 2023)/Week 7 lecture notes
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Pandas is a module which gives us access to two very powerful data structures: | Pandas is a module which gives us access to two very powerful data structures: | ||
# | # Series: an one-dimenaional array of data | ||
# | # DataFrame: a way of storing tabular data | ||
Q: When do you use pandas and when do you not? | Q: When do you use pandas and when do you not? | ||
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* <code>import pandas as pd</code> | * <code>import pandas as pd</code> | ||
* If your data has any numbers, it's very normal to also import a closely related package called numpy: <code>import numpy as np</code> | * If your data has any numbers, it's very normal to also import a closely related package called numpy: <code>import numpy as np</code> | ||
Quick intro to Series: | Quick intro to Series: | ||
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* we can use booleans to filter! | * we can use booleans to filter! | ||
** | ** lets get a title subset | ||
* check the type of minor and anon (wow, pandas is smart!) | * check the type of minor and anon (wow, pandas is smart!) | ||
** we can use those as subsets too | ** we can use those as subsets too | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
== Dates | == Dates == | ||
And pandas has a bunch of magic related to dates: | And pandas has a bunch of magic related to dates: |