Understanding Series
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12345678import pandas as pd scores = pd.Series([88, 92, 79, 93], index=["Alice", "Bob", "Carol", "Dan"], name="Exam Scores") print(scores) print(scores.index) print(scores.dtype) print(scores.size)
A Series is the simplest pandas data structure: a one-dimensional labeled array. You can think of it as a single column of a table, with values and an index that labels them.
Creating Series
You can create a Series from common Python data structures, such as dictionaries and lists.
From a Dictionary
1234import pandas as pd scores = pd.Series({"Alice": 88, "Bob": 92, "Carol": 79, "Dan": 93}) print(scores)
Here, dictionary keys become the index labels.
From a List
1234import pandas as pd grades = pd.Series([88, 92, 79, 93]) print(grades)
Pandas automatically generates an index (0, 1, 2, 3).
Metadata
A Series also carries information about itself:
12345678import pandas as pd grades = pd.Series([88, 92, 79, 93], name="Exam Scores") print(grades.index) print(grades.dtype) print(grades.name) print(grades.size)
.index: index labels;.dtype: data type of values;.name: name of the Series;.size: number of elements.
1. What are the two main components of a pandas Series?
2. Which attribute shows the data type of a Series?
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Can you explain what a pandas Series is?
What is the difference between creating a Series from a list and from a dictionary?
Can you show more examples of Series metadata?
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AI in Action
12345678import pandas as pd scores = pd.Series([88, 92, 79, 93], index=["Alice", "Bob", "Carol", "Dan"], name="Exam Scores") print(scores) print(scores.index) print(scores.dtype) print(scores.size)
A Series is the simplest pandas data structure: a one-dimensional labeled array. You can think of it as a single column of a table, with values and an index that labels them.
Creating Series
You can create a Series from common Python data structures, such as dictionaries and lists.
From a Dictionary
1234import pandas as pd scores = pd.Series({"Alice": 88, "Bob": 92, "Carol": 79, "Dan": 93}) print(scores)
Here, dictionary keys become the index labels.
From a List
1234import pandas as pd grades = pd.Series([88, 92, 79, 93]) print(grades)
Pandas automatically generates an index (0, 1, 2, 3).
Metadata
A Series also carries information about itself:
12345678import pandas as pd grades = pd.Series([88, 92, 79, 93], name="Exam Scores") print(grades.index) print(grades.dtype) print(grades.name) print(grades.size)
.index: index labels;.dtype: data type of values;.name: name of the Series;.size: number of elements.
1. What are the two main components of a pandas Series?
2. Which attribute shows the data type of a Series?
¡Gracias por tus comentarios!
