Contenido del Curso
Introduction to Python for Data Analysis
Introduction to Python for Data Analysis
2. Introduction to Python 2/2
3. Explore Dataset
Data StudyOperations with the FileHow to Explore the DataSorting DataMax, min, mean, medianChallengeGroup DataDive Deeper into Grouping DataGroup Data 2.0Introduction to NumPyPivot TablesRecall Loops.loc FunctionDeal with Several ConditionsChallengeVisualization: First StepsDive Deeper into Visualization
Get Familiar with Lists
Another crucial data type is called list! It is used to store variables:
list = [1, 3, 6, 'a', True]
You just need to put variables inside square brackets. You don't have restrictions, so in one list, you can store numbers, strings, and boolean data; that's all!
It is necessary to know how to get a specific element from the list to work with lists.
The list's first item has the index 0
, the next one 1
, and so on.
If we start from the end, the last item has the index -1
, and the second-to-last has the index -2
, and so on.
list_1 = ['P', 'y', 't', 'h', 'o', 'n'] print("The first item is", list_1[0]) print("The third item is", list_1[2]) print("The fifth item is", list_1[4]) print("The last item is", list_1[5]) # And using negative indexation print("The first item is", list_1[-6]) print("The third item is", list_1[-4]) print("The fifth item is", list_1[-2]) print("The last item is", list_1[-1])
¿Todo estuvo claro?
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Sección 1. Capítulo 12