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Reading in Columns from a text file Pandas
How do I check whether a file exists without exceptions?How do I list all files of a directory?How to read a file line-by-line into a list?Renaming columns in pandasDelete column from pandas DataFrame by column name“Large data” work flows using pandasHow to iterate over rows in a DataFrame in Pandas?Pandas writing dataframe to CSV fileSelect rows from a DataFrame based on values in a column in pandasGet list from pandas DataFrame column headers
I have a large .txt file (many GB) in the the format:
|Column1|Column2|Column3|Column4
|"text"|"text"|"text"|"text"
|"text"|"text"|"text"|"text"
I would like to read this data straight into a pandas dataframe. Is this possible with a pandas command e.g.
df = pd.read_XXX()
If not with pandas, can someone advise on how to read in a file of this type? I am not familiar with this format.
python pandas
asked Mar 7 at 21:56
WilliamWilliam
416
add a comment |
I have a large .txt file (many GB) in the the format:
|Column1|Column2|Column3|Column4
|"text"|"text"|"text"|"text"
|"text"|"text"|"text"|"text"
I would like to read this data straight into a pandas dataframe. Is this possible with a pandas command e.g.
df = pd.read_XXX()
If not with pandas, can someone advise on how to read in a file of this type? I am not familiar with this format.
python pandas
asked Mar 7 at 21:56
WilliamWilliam
416
add a comment |
I have a large .txt file (many GB) in the the format:
|Column1|Column2|Column3|Column4
|"text"|"text"|"text"|"text"
|"text"|"text"|"text"|"text"
I would like to read this data straight into a pandas dataframe. Is this possible with a pandas command e.g.
df = pd.read_XXX()
If not with pandas, can someone advise on how to read in a file of this type? I am not familiar with this format.
python pandas
asked Mar 7 at 21:56
WilliamWilliam
416
I have a large .txt file (many GB) in the the format:
|Column1|Column2|Column3|Column4
|"text"|"text"|"text"|"text"
|"text"|"text"|"text"|"text"
I would like to read this data straight into a pandas dataframe. Is this possible with a pandas command e.g.
df = pd.read_XXX()
If not with pandas, can someone advise on how to read in a file of this type? I am not familiar with this format.
python pandas
python pandas
asked Mar 7 at 21:56
WilliamWilliam
416
asked Mar 7 at 21:56
WilliamWilliam
416
edited Mar 7 at 22:01
William
asked Mar 7 at 21:56
WilliamWilliam
416
asked Mar 7 at 21:56
WilliamWilliam
416
asked Mar 7 at 21:56
WilliamWilliam
416
416
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
Use .pd.read_csv like this
df = pd.read_csv('untitled.txt', sep = '|')
answered Mar 7 at 22:04
Hello.WorldHello.World
329314
add a comment |
You are dealing with a csv file (comma seperated value).
You read this file in pandas with:
df = pd.read_csv('filename.txt', sep='|')
answered Mar 7 at 22:04
ErfanErfan
1,396215
add a comment |
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2 Answers
2
active
oldest
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2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Use .pd.read_csv like this
df = pd.read_csv('untitled.txt', sep = '|')
answered Mar 7 at 22:04
Hello.WorldHello.World
329314
add a comment |
Use .pd.read_csv like this
df = pd.read_csv('untitled.txt', sep = '|')
answered Mar 7 at 22:04
Hello.WorldHello.World
329314
add a comment |
Use .pd.read_csv like this
df = pd.read_csv('untitled.txt', sep = '|')
answered Mar 7 at 22:04
Hello.WorldHello.World
329314
Use .pd.read_csv like this
df = pd.read_csv('untitled.txt', sep = '|')
answered Mar 7 at 22:04
Hello.WorldHello.World
329314
answered Mar 7 at 22:04
Hello.WorldHello.World
329314
answered Mar 7 at 22:04
Hello.WorldHello.World
329314
answered Mar 7 at 22:04
Hello.WorldHello.World
329314
329314
add a comment |
add a comment |
You are dealing with a csv file (comma seperated value).
You read this file in pandas with:
df = pd.read_csv('filename.txt', sep='|')
answered Mar 7 at 22:04
ErfanErfan
1,396215
add a comment |
You are dealing with a csv file (comma seperated value).
You read this file in pandas with:
df = pd.read_csv('filename.txt', sep='|')
answered Mar 7 at 22:04
ErfanErfan
1,396215
add a comment |
You are dealing with a csv file (comma seperated value).
You read this file in pandas with:
df = pd.read_csv('filename.txt', sep='|')
answered Mar 7 at 22:04
ErfanErfan
1,396215
You are dealing with a csv file (comma seperated value).
You read this file in pandas with:
df = pd.read_csv('filename.txt', sep='|')
answered Mar 7 at 22:04
ErfanErfan
1,396215
answered Mar 7 at 22:04
ErfanErfan
1,396215
answered Mar 7 at 22:04
ErfanErfan
1,396215
answered Mar 7 at 22:04
ErfanErfan
1,396215
1,396215
add a comment |
add a comment |
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