Collecting Multiple Columns using Pandas

To collect multiple columns from a Pandas dataframe, you can use the iloc or loc methods. The iloc method is used to select data based on its numerical index, while the loc method is used to select data based on its label. To select specific columns using the iloc method, you can pass a list of the column indices you want to select. Both methods return a new dataframe that contains only the selected columns.

numpy is used to generate random data, and pandas are used to manipulate the data in a dataframe. The iloc method from pandas is then used to select specific columns from the dataframe. This combination of numpy and pandas is commonly used in data analysis and machine learning to work with and manipulate large datasets.

• numpy is used to generate a 10 x 100 array of random integer values between 1 and 10 using the np.random.randint() function, which is then stored in the variable data.
• The pandas library converts the data array into pandas dataframe using the pd.DataFrame() function.
• The iloc method from pandas is used to select specific columns from the dataframe.
• The resulting dataframe is then stored in a new variable called a.

Here is an example of how to collect multiple columns using pandas

Preview of the output that you will get on running this code.

Code

In this code we have used loc function in Pandas Library

1. Copy this code using "Copy" button above and paste it in your Python ide
2. Import Pandas library of python.
3. Run the code to collect a Multiple columns

I hope you have found this useful. I have added the dependent library and version information in the following section.

I found this code snippet by searching "How can i select multiple columns in python " in kandi. you can try any use case.

Dependent Library

If you do not have Pandas that is required to run this code you can install it by clicking on th above link and copying the pip install command from the pandas page in Kandi. You can search for any dependent library in Kandi like Pandas.

Environment Test

In this solution we have used the following versions. Be mindful to change when working with other versions.

1. This solution is created using Python version 3.7.15
2. This solution is Tested using Pandas 1.5.2

Using this solution we can able to collect Multiple column in a Dataframe using Pandas library in python with simple Steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us to collect a multiple column in a Dataframe in Python.

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