1.5 Mapping and dictionaries in Python | Encoding | Data science and analysis course | Tutorial
In this episode in the crash course tutorial of statistics and data science with Python we'll discuss the creation and manipulation of dictionaries in #python for mapping and encoding/matching data frames variables.
Additionally, we discuss among others:
Why to use dictionaries?: mapping, encoding ??
One hot encoding?
why is it so important? How to encode?
Three ways to create dictionaries
Using keys and values to add and find values
Defining a dictionary:
From zero and adding values
Using the function dict
Using {} and brackets []
Mapping (map) in lists and dataframes.
Using matching for columns (variables)
Transforming features to new columns.
Manipulating and editing dictionaries: append, get
Two list to dictionary
Accessing to elements in dictionary: items
Functions get, dict, keys, value
Using loop (for) for with dictionaries
Dictionaries in Python: • 1.4 Creating dictionaries in Python |...
Range and sequences in Python : • 1.2 Range and sequences in Python | N...
Tuples, sets and vectors in Python : • 1.1 Data types and objects in Python ...
Create List: • 1.3 Creating lists in Python | functi...
Any comment or suggestion is welcome
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Factor, vector, list, jupyter, notebook, spyder
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