My text file has the following format:
1, blabal.1
2, bal,abla2
3, bal,a.bla3
I am looking to extract the numbers and texts into separate variables. How can I achieve this?
number_list = [1, 2, 3]
texts = ["balabal1", "balabal2", "balabal3"]
My text file has the following format:
1, blabal.1
2, bal,abla2
3, bal,a.bla3
I am looking to extract the numbers and texts into separate variables. How can I achieve this?
number_list = [1, 2, 3]
texts = ["balabal1", "balabal2", "balabal3"]
numbers = list()
sentences = list()
with open("data.txt") as file:
for row in file:
num, sentence = row.strip().split(", ")
numbers.append(int(num))
sentences.append(sentence.replace(".", "").replace(",", ""))
To extract the data, loop through the lines and use the split function with a delimiter of a comma (,). After splitting, add the first element (the number) to a list called numb_list, making sure to convert it to an integer using int(). Then add the second element (accessed by index 1) to another list called text, removing any leading or trailing spaces.
numb_list = []
text = []
with open("file.txt") as data_file:
for line in data_file:
parts = line.split(",")
numb_list.append(int(parts[0]))
text.append(parts[1].strip())
Check out this alternative approach using the Pandas library:
import pandas as pd
data = pd.read_csv('c:/folder/data.csv', header=None)
nums = data.iloc[:,0].tolist()
texts = data.iloc[:,1].tolist()
Result
[4, 5, 6]
['text1', 'text2', 'text3']
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