亚洲国产日韩欧美一区二区三区,精品亚洲国产成人av在线,国产99视频精品免视看7,99国产精品久久久久久久成人热,欧美日韩亚洲国产综合乱

Table of Contents
1. Delete a single column
2. Delete multiple columns
3. Delete in place (no new DataFrame generated)
4. Use columns parameters to be clearer
5. Handle non-existent columns (avoid error reporting)
Tips
Home Backend Development Python Tutorial python pandas drop column example

python pandas drop column example

Jul 31, 2025 am 07:26 AM
java programming

Deleting columns in Pandas DataFrame can be achieved through drop() method. 1. To delete a single column, you need to specify the column name and axis=1; 2. To delete multiple columns, you can pass into the column name list; 3. Use inplace=True to modify the DataFrame in place; 4. It is recommended to use the columns parameter to improve code readability; 5. Adding errors='ignore' can avoid errors when deleting no columns, and return the expected DataFrame results after the operation is completed.

python pandas drop column example

Deleting columns in Pandas DataFrame is a common operation in data processing. The following is a few practical examples to show how to use the drop() method to delete a column.

python pandas drop column example

1. Delete a single column

 import pandas as pd

# Create sample data df = pd.DataFrame({
    'A': [1, 2, 3],
    'B': [4, 5, 6],
    'C': [7, 8, 9]
})

# Delete column 'B'
df = df.drop('B', axis=1)
print(df)

Output:

 AC
0 1 7
1 2 8
2 3 9

Note: axis=1 means to operate according to columns, axis=0 means to operate according to rows.

python pandas drop column example

2. Delete multiple columns

 # Delete columns 'A' and 'C'
df = df.drop(['A', 'C'], axis=1)
print(df)

Output:

 B
0 4
1 5
2 6

You can also pass in the column name list to delete multiple columns at once.

python pandas drop column example

3. Delete in place (no new DataFrame generated)

Use inplace=True to directly modify the original DataFrame without reassigning:

 df.drop('B', axis=1, inplace=True)
print(df)

At this time, the original df is modified, and there is no need to write df = df.drop(...) .


4. Use columns parameters to be clearer

 df = df.drop(columns=['A', 'C'])

It is equivalent to drop(['A','C'], axis=1) , but the semantics are clearer and recommended.


5. Handle non-existent columns (avoid error reporting)

If you are not sure whether the column exists, you can use errors='ignore' to prevent errors:

 df = df.drop(columns=['D'], errors='ignore') # D No errors will be reported if it does not exist

Tips

  • If you want to keep certain columns, you can directly select them with df[['col1', 'col2']] .
  • drop() returns the new DataFrame by default, and the original data remains unchanged (unless inplace=True ).
  • Column names are case sensitive.

Basically, these common scenarios are not complicated but are easy to ignore the details of axis=1 or inplace .

The above is the detailed content of python pandas drop column example. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undress AI Tool

Undress AI Tool

Undress images for free

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

PHP Tutorial
1488
72
VSCode settings.json location VSCode settings.json location Aug 01, 2025 am 06:12 AM

The settings.json file is located in the user-level or workspace-level path and is used to customize VSCode settings. 1. User-level path: Windows is C:\Users\\AppData\Roaming\Code\User\settings.json, macOS is /Users//Library/ApplicationSupport/Code/User/settings.json, Linux is /home//.config/Code/User/settings.json; 2. Workspace-level path: .vscode/settings in the project root directory

How to handle transactions in Java with JDBC? How to handle transactions in Java with JDBC? Aug 02, 2025 pm 12:29 PM

To correctly handle JDBC transactions, you must first turn off the automatic commit mode, then perform multiple operations, and finally commit or rollback according to the results; 1. Call conn.setAutoCommit(false) to start the transaction; 2. Execute multiple SQL operations, such as INSERT and UPDATE; 3. Call conn.commit() if all operations are successful, and call conn.rollback() if an exception occurs to ensure data consistency; at the same time, try-with-resources should be used to manage resources, properly handle exceptions and close connections to avoid connection leakage; in addition, it is recommended to use connection pools and set save points to achieve partial rollback, and keep transactions as short as possible to improve performance.

python itertools combinations example python itertools combinations example Jul 31, 2025 am 09:53 AM

itertools.combinations is used to generate all non-repetitive combinations (order irrelevant) that selects a specified number of elements from the iterable object. Its usage includes: 1. Select 2 element combinations from the list, such as ('A','B'), ('A','C'), etc., to avoid repeated order; 2. Take 3 character combinations of strings, such as "abc" and "abd", which are suitable for subsequence generation; 3. Find the combinations where the sum of two numbers is equal to the target value, such as 1 5=6, simplify the double loop logic; the difference between combinations and arrangement lies in whether the order is important, combinations regard AB and BA as the same, while permutations are regarded as different;

Mastering Dependency Injection in Java with Spring and Guice Mastering Dependency Injection in Java with Spring and Guice Aug 01, 2025 am 05:53 AM

DependencyInjection(DI)isadesignpatternwhereobjectsreceivedependenciesexternally,promotingloosecouplingandeasiertestingthroughconstructor,setter,orfieldinjection.2.SpringFrameworkusesannotationslike@Component,@Service,and@AutowiredwithJava-basedconfi

python pytest fixture example python pytest fixture example Jul 31, 2025 am 09:35 AM

fixture is a function used to provide preset environment or data for tests. 1. Use the @pytest.fixture decorator to define fixture; 2. Inject fixture in parameter form in the test function; 3. Execute setup before yield, and then teardown; 4. Control scope through scope parameters, such as function, module, etc.; 5. Place the shared fixture in conftest.py to achieve cross-file sharing, thereby improving the maintainability and reusability of tests.

Python for Data Engineering ETL Python for Data Engineering ETL Aug 02, 2025 am 08:48 AM

Python is an efficient tool to implement ETL processes. 1. Data extraction: Data can be extracted from databases, APIs, files and other sources through pandas, sqlalchemy, requests and other libraries; 2. Data conversion: Use pandas for cleaning, type conversion, association, aggregation and other operations to ensure data quality and optimize performance; 3. Data loading: Use pandas' to_sql method or cloud platform SDK to write data to the target system, pay attention to writing methods and batch processing; 4. Tool recommendations: Airflow, Dagster, Prefect are used for process scheduling and management, combining log alarms and virtual environments to improve stability and maintainability.

Troubleshooting Common Java `OutOfMemoryError` Scenarios Troubleshooting Common Java `OutOfMemoryError` Scenarios Jul 31, 2025 am 09:07 AM

java.lang.OutOfMemoryError: Javaheapspace indicates insufficient heap memory, and needs to check the processing of large objects, memory leaks and heap settings, and locate and optimize the code through the heap dump analysis tool; 2. Metaspace errors are common in dynamic class generation or hot deployment due to excessive class metadata, and MaxMetaspaceSize should be restricted and class loading should be optimized; 3. Unabletocreatenewnativethread due to exhausting system thread resources, it is necessary to check the number of threads, use thread pools, and adjust the stack size; 4. GCoverheadlimitexceeded means that GC is frequent but has less recycling, and GC logs should be analyzed and optimized.

How to work with Calendar in Java? How to work with Calendar in Java? Aug 02, 2025 am 02:38 AM

Use classes in the java.time package to replace the old Date and Calendar classes; 2. Get the current date and time through LocalDate, LocalDateTime and LocalTime; 3. Create a specific date and time using the of() method; 4. Use the plus/minus method to immutably increase and decrease the time; 5. Use ZonedDateTime and ZoneId to process the time zone; 6. Format and parse date strings through DateTimeFormatter; 7. Use Instant to be compatible with the old date types when necessary; date processing in modern Java should give priority to using java.timeAPI, which provides clear, immutable and linear

See all articles