I am trying to read a csv file into a pandas dataframe. However, the csv contains accents. I am using Python 2.7
I've ran into a UnicodeDecodeError
because there is an accent in the first column. I've read up on a bunch of sites like this SO question about UTF-8 in CSV files, this blog post on CSV errors related to newlines, and this blog post on UTF-8 issues in Python 2.7.
I used answers I've found from there to try to modify my code. Originally I had:
import pandas as pd
#Create a dataframe with the data we are interested in
df = pd.DataFrame.from_csv('MYDATA.csv')
mode = lambda ts: ts.value_counts(sort=True).index[0]
cols = df['CompanyName'].value_counts().index
df['Calls'] = df.groupby('CompanyName')['CompanyName'].transform(pd.Series.value_counts)
Excetera. It worked, but now passing in "NÍ" and "Nê" as a customer name is giving the error:
UnicodeDecodeError: 'utf8' codec can't decode byte 0xea in position 7: invalid continuation byte
I tried changing the line to df =pd.read_csv('MYDATA.csv',encoding ='utf-8') But this gives the same error.
So I tried this from the suggestions I found by researching, but it is not working either, and I am getting the same error.
import pandas as pd
import csv
def unicode_csv_reader(utf8_data, dialect=csv.excel, **kwargs):
csv_reader = csv.reader(utf8_data, dialect=dialect, **kwargs)
for row in csv_reader:
yield [unicode(cell, 'utf-8') for cell in row]
reader = unicode_csv_reader(open('MYDATA.csv','rU'), dialect = csv.reader)
#Create a dataframe with the data we are interested in
df =pd.DataFrame(reader)
I feel like it should not be this difficult to read csv data into a pandas dataframe. Does anyone know of an easier way?
Edit: What is really strange is that if I delete the row with the accented characters I still get the error
UnicodeDecodeError: 'utf8' codec can't decode byte 0xd0 in position 960: invalid continuation byte.
This is strange as my test csv has 19 rows and 27 columns. But I hope that if I decode utf8 for the entire csv it will fix the problem.
We can use the parse_dates parameter to convince pandas to turn things into real datetime types. parse_dates takes a list of columns (since you could want to parse multiple columns into datetimes ).
Try adding this to the top of your script:
import sys
reload(sys)
sys.setdefaultencoding('utf8')
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