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This article mainly explains "how to use iloc and loc in Python Pandas". Interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Let's let Xiaobian take you to learn "how to use iloc and loc in Python Pandas"!

1. iloc1. Definition

The iloc indexer is used for integer position-based indexing or selection by position.

2. syntax

df.iloc [row selection, column selection]

3. Code Example (1) Import Data

(2) Select a single line or a single column

(3) Select multiple rows or columns

4) Attention

iloc returns Series when selecting one row, DataFrame when selecting multiple rows, and DataFrame can be converted by passing a list.

2. loc1. definition

loc selects data by label or index, Boolean value or condition. This method of selecting data is more common.

2. syntax

df.loc [row selection, column selection]

3. code example

(1) Label-based or index-based methods using loc

1) Set the index first

2) Select single row or single column according to index

3) Select multiple rows and columns according to index

(2) Boolean/logical indexing using loc

(3) More examples of loc selection data

(4) Use loc to set values in DataFrame

At this point, I believe that everyone has a deeper understanding of "how to use iloc and loc in Python Pandas", so let's actually operate it! Here is the website, more related content can enter the relevant channels for inquiry, pay attention to us, continue to learn!

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