I'm working on a program that need to take two files and merge them and write the union file as a new one. The problem is that the output file contains chars like this \xf0 or if i change some of the encodings the result is something like that \u0028. The input file are codificated in utf8. How can i print on the output file chars like "è" or "ò" and "-"
I have done this code:
import codecs
import pandas as pd
import numpy as np
goldstandard = "..\\files\file1.csv"
tweets = "..\\files\\file2.csv"
with codecs.open(tweets, "r", encoding="utf8") as t:
tFile = pd.read_csv(t, delimiter="\t",
names=['ID', 'Tweet'],
quoting=3)
IDs = tFile['ID']
tweets = tFile['Tweet']
dict = {}
for i in range(len(IDs)):
dict[np.int64(IDs[i])] = [str(tweets[i])]
with codecs.open(goldstandard, "r", encoding="utf8") as gs:
for line in gs:
columns = line.split("\t")
index = np.int64(columns[0])
rowValue = dict[index]
rowValue.append([columns[1], columns[2], columns[3], columns[5]])
dict[index] = rowValue
import pprint
pprint.pprint(dict)
ndic = pprint.pformat(dict, indent=4)
f = codecs.open("out.csv", "w", "utf8")
f.write(ndic)
f.close()
and this is example of the outputs
desired: Beyoncè
obtained: Beyonc\xe9
\xhhescape sequences (literally 4 characters, two of which are hex) for any non-printable or non-ASCII codepoint.