I can not read the csv file in my jupiternotebook, the following is the link github link of the csv file
https://github.com/roshanthokchom/new-assignment/blob/master/spam.csv
import numpy as np
import pandas as pd
from sklearn.naive_bayes import GaussianNB
import urllib
pd.read_csv('spam.csv',encoding='latin-1')
ParserError: Error tokenizing data. C error: Expected 2 fields in line 13, saw 4
#Roshan here is the solution to your problem:
import pandas as pd
import csv
with open('spam.csv', newline='') as f:
csvread = csv.reader(f)
raw_data = list(csvread)
data = []
for i in batch_data:
i = i[0].split("\t")
data.append(i)
final_data = pd.DataFrame(data)
You can specify encoding as you have done but your file consists of commas in between text so if you read normally pandas will separate data based on ",". Thats why you are getting an error
Related
I am pretty new to Python (using Python3) and read Pandas to import dataset.
I need to import dataset from url - https://newonlinecourses.science.psu.edu/stat501/sites/onlinecourses.science.psu.edu.stat501/files/data/leukemia_remission/index.txt
and convert it to csv file, I am getting some special character in converted csv -> ��
I am download txt file and converting it to csv, is is the right approach?
and converted csv is putting entire text into one column
from urllib.request import urlretrieve
import pandas as pd
from pandas import DataFrame
url = 'https://newonlinecourses.science.psu.edu/stat501/sites/onlinecourses.science.psu.edu.stat501/files/data/leukemia_remission/index.txt'
urlretrieve(url, 'index.txt')
df = pd.read_csv('index.txt', sep='/t', engine='python', lineterminator='\r\n')
csv_file = df.to_csv('index.csv', sep='\t', index=False, header=True)
print(csv_file)
after successful import, I have to Extract X as all columns except the first column and Y as first column also.
I'll appreciate your all help.
from urllib.request import urlretrieve
import pandas as pd
url = 'https://newonlinecourses.science.psu.edu/stat501/sites/onlinecourses.science.psu.edu.stat501/files/data/leukemia_remission/index.txt'
urlretrieve(url, 'index.txt')
df = pd.read_csv('index.txt', sep='\t',encoding='utf-16')
Y = df[['REMISS']]
X = df.drop(['REMISS'],axis=1)
I am using python 3.7 and was trying to import a dataset (csv) using PANDAS
When i execute the following code, i get an error which says
'utf-8' codec can't decode byte 0xb5 in position 10: invalid start
byte
This is the code:
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
#importing dataset
dataset = pd.read_csv('food.csv')
The same thing works when i try the following-
import csv
rows = []
with open('ABBREV.csv', 'r') as f:
csvreader = csv.reader(f)
for row in csvreader:
rows.append(row)
Check the encoding of the file:
with open('food.csv') as f:
print(f)
Then use that encoding for opening the CSV
dataset = pd.read_csv('food.csv', encoding = ???)
Pandas read_csv docs
I am trying to use below code to get posts with specific keywords from my csv file but I keep getting KeyErro "Tag1"
import re
import string
import pandas as pd
import openpyxl
import glob
import csv
import os
import xlsxwriter
import numpy as np
keywords = {"agile","backlog"}
# all your keywords
df = pd.read_csv(r"C:\Users\ferr1982\Desktop\split1_out.csv",
error_bad_lines=False)#, sep="," ,
encoding="utf-8")
output = pd.DataFrame(columns=df.columns)
for i in range(len(df.index)):
#if (df.loc[df['Tags'].isin(keywords)]):
if any(x in ((df['Tags1'][i]),(df['Tags2'][i]), (df['Tags3'][i] ),
(df['Tags4'][i]) , (df['Tags5'][i])) for x in keywords):
output.loc[len(output)] = [df[j][i] for j in df.columns]
output.to_csv("new_data5.csv", incdex=False)
Okay, it turned to be that there is a little space before "Tags" column in my CSV file !
it is working now after I added the space to the name in the code above.
I use pandas to load a csv file and want to print out data of row, here is original data
orginal data
I want to print out 'violence' data for make a bar chart, but it occuar a keyerror, here is my code
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
c_data=pd.read_csv('crime.csv')
print(c_data.head())
print (c_data['violence'])
and the error
error detail
error detail
I tried use capital VIOLENCE,print (c_data['VIOLENCE']),but also failed
error detail
error detail
can someone tell me how to work it out?
Try the following if your data is small:
with open('crime.csv', 'r') as my_file:
reader = csv.reader(my_file)
rows = list(reader)
print rows[3]
If your data is big, try this:
from itertools import islice
with open('crime.csv', 'r') as my_file:
reader = csv.reader(my_file)
print next(islice(reader, 3, 4))
I use the following code to read a csv file and save it as pandas data frame, but the method always return the iris dataset not my data. What is the problem?
import pandas as pd
a = pd.read_csv(r"D:\data.csv")
print(a)