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Introduction to pandas [track]
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Contenido del Curso

Introduction to pandas [track]

Introduction to pandas [track]

1. Basics
What is pandas?SeriesIndexes and ValuesChallengeDataFramesIndexes and ColumnsChallenge
2. Reading and Exploring Data
Reading CSV FilesReading XLS/XLSX FilesExploring Data [1/3]ChallengeExploring Data [2/3]Exploring Data [3/3]Challenge
3. Accessing DataFrame Values
Accessing Specific ColumnsChallengeAccessing Specific RowsChallengeAccessing Rows and ColumnsAccessing using .loc[] [1/3]Accessing using .loc[] [2/3]Accessing using .loc[] [3/3]
4. Aggregate Functions
Number of ObservationsUnique ObservationsCounting ValuesChallengeSum and ProductMean and MedianChallengeMinimum and Maximum

bookAccessing using .loc[] [1/3]

.loc[] is pandas property that allows to access a group of rows and columns by label(s) or a boolean array.

First, you can get rows by their indexes. Pass index/range of indexes between square brackets.

Note that right boundary is inculded while slicing within .loc[]


              
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# Importing library
import pandas as pd

# Reading csv file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv')
# Get the first row (index - 0)
print(df.loc[0])
# Get the 9th - 11th rows (indexes 8, 9, 10)
print(df.loc[8:10])
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To get all rows, pass the colon : between square brackets.

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Sección 3. Capítulo 6
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