TXT Files
To read text files in pandas
, you can use the same function, pd.read_csv()
. However, to ensure the text file is read correctly, it's essential to use an additional parameter called sep
, which stands for separator or delimiter in the text.
# Importing pandas library
import pandas as pd
# Reading a text file into a DataFrame
text_data = pd.read_csv('file.txt', sep='\r', header=None)
If your text file doesn't have a header row containing column names, set the header
parameter to None
. Doing so informs pandas
not to treat the first row as column names.
Note
To use a new line as the separator in a file, which is common in text files, set
sep='\r'
. Here,'\r'
stands for a carriage return, which is a special character used to indicate a new line.
Swipe to start coding
You are given a URL to a TXT file stored as a string in the file_url
variable.
-
Read the TXT file into a
DataFrame
namedtext_data
. -
Save the first line (the first row of
text_data
) in thefirst_row
variable.
Solution
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TXT Files
To read text files in pandas
, you can use the same function, pd.read_csv()
. However, to ensure the text file is read correctly, it's essential to use an additional parameter called sep
, which stands for separator or delimiter in the text.
# Importing pandas library
import pandas as pd
# Reading a text file into a DataFrame
text_data = pd.read_csv('file.txt', sep='\r', header=None)
If your text file doesn't have a header row containing column names, set the header
parameter to None
. Doing so informs pandas
not to treat the first row as column names.
Note
To use a new line as the separator in a file, which is common in text files, set
sep='\r'
. Here,'\r'
stands for a carriage return, which is a special character used to indicate a new line.
Swipe to start coding
You are given a URL to a TXT file stored as a string in the file_url
variable.
-
Read the TXT file into a
DataFrame
namedtext_data
. -
Save the first line (the first row of
text_data
) in thefirst_row
variable.
Solution
Thanks for your feedback!
single
Awesome!
Completion rate improved to 3.03
TXT Files
Swipe to show menu
To read text files in pandas
, you can use the same function, pd.read_csv()
. However, to ensure the text file is read correctly, it's essential to use an additional parameter called sep
, which stands for separator or delimiter in the text.
# Importing pandas library
import pandas as pd
# Reading a text file into a DataFrame
text_data = pd.read_csv('file.txt', sep='\r', header=None)
If your text file doesn't have a header row containing column names, set the header
parameter to None
. Doing so informs pandas
not to treat the first row as column names.
Note
To use a new line as the separator in a file, which is common in text files, set
sep='\r'
. Here,'\r'
stands for a carriage return, which is a special character used to indicate a new line.
Swipe to start coding
You are given a URL to a TXT file stored as a string in the file_url
variable.
-
Read the TXT file into a
DataFrame
namedtext_data
. -
Save the first line (the first row of
text_data
) in thefirst_row
variable.
Solution
Thanks for your feedback!