How to split a txt column into multiple columns?

Question

Hi guys, I have a txt with a column named 'Data', I want to separate this column into four new columns, 'GUTemp', 'OSC_MAX', 'OSC' and 'SPEED'. like the figure shown below, Any help would be greatly appreciated.

Answer 1

To split a text column into multiple columns, you can use the "split" function in Python. The "split" function separates a string into a list of substrings based on a specified delimiter. Here's an example of how you can split a text column into multiple columns using Python:

# Example input data text_column = ['John Doe,30,Male', 'Jane Smith,25,Female', 'Bob Johnson,40,Male'] # Splitting the text column into multiple columns split_columns = [item.split(',') for item in text_column] # Printing the result for row in split_columns: print(row)

In this example, the text_column variable contains a list of strings representing a text column. Each string represents a row of data with values separated by commas. The code uses a list comprehension to split each string into a list of substrings using the comma (',') as the delimiter.

Output:

['John Doe', '30', 'Male'] ['Jane Smith', '25', 'Female'] ['Bob Johnson', '40', 'Male']

Each string has been split into three separate elements within a list, representing the columns. You can access the individual elements of each row by indexing the split_columns list.

Please note that this example assumes a specific delimiter (comma) and a consistent number of columns in the text column. If your data has a different delimiter or varying column counts, you may need to adjust the code accordingly.

Answer 2

Split text into different columns with the Convert Text to Columns Wizard

1. Select the cell or column that contains the text you want to split.
2. Select Data > Text to Columns.
3. In the Convert Text to Columns Wizard, select Delimited > Next.
4. Select the Delimiters for your data. ...
5. Select Next.

Answer 3

To split a text column into multiple columns in a formal context, you can utilize the "split" function available in Python. The "split" function allows you to divide a string into multiple substrings based on a specified delimiter. Here is an example that demonstrates how you can split a text column into multiple columns using Python:

# Example input data text_column = ['John Doe,30,Male', 'Jane Smith,25,Female', 'Bob Johnson,40,Male'] # Splitting the text column into multiple columns split_columns = [item.split(',') for item in text_column] # Printing the result for row in split_columns: print(row)

In this example, the variable text_column represents a list of strings, each string representing a row of data in the text column. The values within each row are separated by commas. By employing a list comprehension, the code iterates over each string in text_column and applies the split function to split it into multiple substrings based on the comma delimiter.

The output will be:

['John Doe', '30', 'Male'] ['Jane Smith', '25', 'Female'] ['Bob Johnson', '40', 'Male']

Each string within the original text column has been split into three distinct elements, representing separate columns. You can access individual elements within each row by indexing the split_columns list.

Please bear in mind that this example assumes a consistent delimiter (comma) and a uniform number of columns in the text column. If your data employs a different delimiter or exhibits varying column counts, you may need to adapt the code accordingly.