Transferring the the data from a file to pandas dataframe, which have no file extension
Question:
I like to use SMS Spam Collection Data Set which can be found on UCI Machine Learning Repository, to build a classification model. The data file that is shared on the repository has no file extension. The data is look like the following
ham Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...
ham Ok lar... Joking wif u oni...
spam Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's
ham U dun say so early hor... U c already then say...
ham Nah I don't think he goes to usf, he lives around here though
spam FreeMsg Hey there darling it's been 3 week's now and no word back! I'd like some fun you up for it still? Tb ok! XxX std chgs to send, £1.50 to rcv
Where ham or spam should be the class attribute and the rest of the portion is the message. How could I transfer the dataset into Pandas dataframe? The dataframe should like the following
Message Class Messages
ham Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...
ham Ok lar... Joking wif u oni...
spam Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's
ham U dun say so early hor... U c already then say...
ham Nah I don't think he goes to usf, he lives around here though
spam FreeMsg Hey there darling it's been 3 week's now and no word back! I'd like some fun you up for it still? Tb ok! XxX std chgs to send, £1.50 to rcv
Answers:
The file seems like a .txt tab separated, so you can use pandas.read_csv :
import pandas as pd
df = pd.read_csv(filepath_or_buffer= "SMSSpamCollection",
header=None, sep="t", names=["Message Class", "Messages"])
# Output :
This should work
df= pd.read_csv("your_file.csv", sep="t")
df.dropna(how="any", inplace=True, axis=1)
df.columns = ['label', 'message']
df.head()
I like to use SMS Spam Collection Data Set which can be found on UCI Machine Learning Repository, to build a classification model. The data file that is shared on the repository has no file extension. The data is look like the following
ham Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...
ham Ok lar... Joking wif u oni...
spam Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's
ham U dun say so early hor... U c already then say...
ham Nah I don't think he goes to usf, he lives around here though
spam FreeMsg Hey there darling it's been 3 week's now and no word back! I'd like some fun you up for it still? Tb ok! XxX std chgs to send, £1.50 to rcv
Where ham or spam should be the class attribute and the rest of the portion is the message. How could I transfer the dataset into Pandas dataframe? The dataframe should like the following
Message Class Messages
ham Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...
ham Ok lar... Joking wif u oni...
spam Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's
ham U dun say so early hor... U c already then say...
ham Nah I don't think he goes to usf, he lives around here though
spam FreeMsg Hey there darling it's been 3 week's now and no word back! I'd like some fun you up for it still? Tb ok! XxX std chgs to send, £1.50 to rcv
The file seems like a .txt tab separated, so you can use pandas.read_csv :
import pandas as pd
df = pd.read_csv(filepath_or_buffer= "SMSSpamCollection",
header=None, sep="t", names=["Message Class", "Messages"])
# Output :
This should work
df= pd.read_csv("your_file.csv", sep="t")
df.dropna(how="any", inplace=True, axis=1)
df.columns = ['label', 'message']
df.head()