NumPy: Split a given text into lines and split the single line into array values
22. Split Text into Lines and Tokens
Write a NumPy program to split a given text into lines and split the single line into array values.
Sample text:
01 V Debby Pramod
02 V Artemiy Ellie
03 V Baptist Kamal
04 V Lavanya Davide
05 V Fulton Antwan
06 V Euanthe Sandeep
07 V Endzela Sanda
08 V Victoire Waman
09 V Briar Nur
10 V Rose Lykos
Sample Solution:
Python Code:
# Importing necessary library
import numpy as np
# The string containing student information
student = """01 V Debby Pramod
02 V Artemiy Ellie
03 V Baptist Kamal
04 V Lavanya Davide
05 V Fulton Antwan
06 V Euanthe Sandeep
07 V Endzela Sanda
08 V Victoire Waman
09 V Briar Nur
10 V Rose Lykos"""
# Displaying the original text
print("Original text:")
print(student)
# Splitting the text into lines and then further splitting by tab ('\t')
text_lines = student.splitlines()
text_lines = [r.split('\t') for r in text_lines]
# Creating a NumPy array from the split text
result = np.array(text_lines, dtype=np.str)
print("\nArray from the said text:")
print(result)
Sample Output:
Original text: 01 V Debby Pramod 02 V Artemiy Ellie 03 V Baptist Kamal 04 V Lavanya Davide 05 V Fulton Antwan 06 V Euanthe Sandeep 07 V Endzela Sanda 08 V Victoire Waman 09 V Briar Nur 10 V Rose Lykos Array from the said text: [['01' 'V' 'Debby Pramod'] ['02' 'V' 'Artemiy Ellie'] ['03' 'V' 'Baptist Kamal'] ['04' 'V' 'Lavanya Davide'] ['05' 'V' 'Fulton Antwan'] ['06' 'V' 'Euanthe Sandeep'] ['07' 'V' 'Endzela Sanda'] ['08' 'V' 'Victoire Waman'] ['09' 'V' 'Briar Nur'] ['10' 'V' 'Rose Lykos']]
Explanation:
In the above exercise –
student = """01 V Debby Pramod\n02 V Artemiy Ellie\n03 V Baptist Kamal\n04 V Lavanya Davide\n05 V Fulton Antwan\n06 V Euanthe Sandeep\n07 V Endzela Sanda\n08 V Victoire Waman\n09 V Briar Nur\n10 V Rose Lykos""": This creates a string variable student that contains the information for 10 students. Each line in the string represents a student, and the fields are separated by tabs.
text_lines = student.splitlines(): This line splits the student string into individual lines.
text_lines = [r.split('\t') for r in text_lines]: This line splits each line in text_lines into fields separated by tabs, creating a list of lists.
result = np.array(text_lines, dtype=np.str): This line converts the list of lists into a NumPy array, where each row represents a student and each column represents a field (e.g. ID, class, name). The dtype=np.str parameter sets the data type of the array to string.
For more Practice: Solve these Related Problems:
- Create a function that splits a multiline text into an array of lines using np.char.splitlines, then splits each line into tokens.
- Implement a solution that reads a large text block, splits it by newline characters, and then by whitespace to form a 2D array.
- Test the function on text with inconsistent spacing and line breaks to ensure robust splitting.
- Combine the splitting with a transformation that capitalizes the first word of each line and outputs the modified array.
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