Preprocessing/csv_preprocessing.py at main · Kontilenia/Preprocessing · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
import pandas as pd

# Read the file and load it to pandas dataframe
df = pd.read_csv('unprocessed_text.csv')

# Reformat of dataframe for minor changes that are needed to be done first
for index in df.index:
    if str(df.loc[index, 'name'])[0] == ")" and len(str(df.loc[index, 'name']).replace(" ", "")) > 1:
        df.loc[index - 1, 'text'] = str(df.loc[index - 1, 'text'] + ')')
        df.loc[index, 'name'] = df.loc[index, 'name'][1:]
    elif len(str(df.loc[index, 'name']).replace(" ", "")) == 0:
        df.loc[index, 'text'] = "-"
        df.loc[index, 'name'] = "-"
    elif len(str(df.loc[index, 'text']).replace(" ", "")) > 1 and str(df.loc[index, 'text'])[0] == ")" \
            and str(df.loc[index, 'text'])[1] == ":":
        df.loc[index, 'name'] = str(df.loc[index, 'name'] + '):')
        df.loc[index, 'text'] = df.loc[index, 'text'][2:]
    elif len(str(df.loc[index, 'text']).replace(" ", "")) > 0 and str(df.loc[index, 'text'])[0] == ":":
        df.loc[index, 'name'] = str(df.loc[index, 'name'] + ':')
        df.loc[index, 'text'] = df.loc[index, 'text'][1:]
    if len(str(df.loc[index, 'text']).replace(" ", "")) > 0 and str(df.loc[index, 'text'])[0] == " ":
        df.loc[index, 'text'] = df.loc[index, 'text'][1:]
    if len(str(df.loc[index, 'name']).replace(" ", "")) > 0 and str(df.loc[index, 'name'])[0] == " ":
        df.loc[index, 'name'] = df.loc[index, 'name'][1:]
    elif len(str(df.loc[index, 'name']).replace(" ", "")) > 0 and str(df.loc[index, 'name'])[0] == "  ":
        df.loc[index, 'name'] = df.loc[index, 'name'][2:]
    if "\t" in df.loc[index, 'text']:
        str(df.loc[index, 'text']).replace("\t", "")
    if "\t" in df.loc[index, 'name']:
        str(df.loc[index, 'name']).replace("\t", "")
    if "\xa0" in df.loc[index, 'text']:
        str(df.loc[index, 'text']).replace("\xa0", " ")
    if "\xa0" in df.loc[index, 'name']:
        str(df.loc[index, 'name']).replace("\xa0", " ")

# Second reformat of dataframe with bigger changes
for index in df.index:
    if (not ')' in df.loc[index, 'text'] and df.loc[index, 'name'] == "(") or \
            (str(df.loc[index, 'name']).replace(" ", "") == "(" and ')' in df.loc[index, 'text']
             and '(' in df.loc[index, 'text'] and not ')' in df.loc[index + 1, 'name']
             and ')' in df.loc[index + 1, 'text']):
        df.loc[index - 1, 'text'] = str(
            df.loc[index - 1, 'text'] + df.loc[index, 'name'] + df.loc[index, 'text'] + df.loc[
                index + 1, 'name'] + df.loc[index + 1, 'text'])
        df.loc[index, 'text'] = "-"
        df.loc[index, 'name'] = "-"
        df.loc[index + 1, 'text'] = "-"
        df.loc[index + 1, 'name'] = "-"
    elif (')' in df.loc[index, 'text'] and df.loc[index, 'name'] == "(") or str(df.loc[index, 'name']).replace(" ", "")[
        0] == '»' \
            or str(df.loc[index, 'name']).replace(" ", "")[0] == "." \
            or str(df.loc[index, 'name']).replace(" ", "")[0] == "," \
            or str(df.loc[index, 'name']).replace(" ", "")[0] == "/" \
            or str(df.loc[index, 'name']).replace(" ", "")[0] == "«" \
            or str(df.loc[index, 'name']).replace(" ", "")[0] == "΄":
        if not df.loc[index - 1, 'name'] == "-":
            df.loc[index - 1, 'text'] = str(df.loc[index - 1, 'text'] + df.loc[index, 'name'] + df.loc[index, 'text'])
            df.loc[index, 'text'] = "-"
            df.loc[index, 'name'] = "-"
        else:
            df.loc[index - 2, 'text'] = str(
                df.loc[index - 2, 'text'] + df.loc[index, 'name'] + df.loc[index, 'text'])
            df.loc[index, 'text'] = "-"
            df.loc[index, 'name'] = "-"
    if ("Στο σημείο αυτό την Προεδρική Έδρα" in df.loc[index, 'text'] or "Στο σημείο αυτό, την Προεδρική Έδρα" in
        df.loc[index, 'text']
        or "Στο σημείο αυτή την Προεδρική Έδρα" in df.loc[index, 'text'] or "Στο σημείο αυτό την προεδρική Έδρα" in
        df.loc[index, 'text']
        or "Στο σημείο αυτό την Προεδρική έδρα" in df.loc[index, 'text']
        or "Στο σημείο αυτό την Προεδρικής Έδρα" in df.loc[index, 'text']) \
            and ((str(df.loc[index + 1, 'text'])[0] == ")" and not "(" in df.loc[index + 1, 'name']) or (
            ")" in df.loc[index + 1, 'name'] and not "(" in df.loc[index + 1, 'name'])):
        df.loc[index, 'text'] = str(
            df.loc[index, 'text'] + df.loc[index + 1, 'name'] + df.loc[index + 1, 'text'])
        df.loc[index + 1, 'text'] = "-"
        df.loc[index + 1, 'name'] = "-"
    elif "Στο σημείο αυτό την Προεδρική Έδρα" in df.loc[index, 'text'] and not str(df.loc[index + 1, 'text'])[
                                                                                   0] == ")" and not "(" in df.loc[
        index + 1, 'name'] and str(df.loc[index + 2, 'text'])[0] == ")" and not "(" in df.loc[index + 2, 'name']:
        df.loc[index, 'text'] = str(
            df.loc[index, 'text'] + df.loc[index + 1, 'name'] + df.loc[index + 1, 'text'] + df.loc[index + 2, 'name'] +
            df.loc[index + 2, 'text'])
        df.loc[index + 1, 'text'] = "-"
        df.loc[index + 1, 'name'] = "-"
        df.loc[index + 2, 'text'] = "-"
        df.loc[index + 2, 'name'] = "-"
    if (len(str(df.loc[index, 'name']).split()) == 1 and str(df.loc[index, 'text']).replace(" ", "") == "" and len(
            str(df.loc[index + 1, 'name']).split()) == 1 and not str(df.loc[index + 1, 'text']).replace(" ", "") == "") \
            or (len(str(df.loc[index, 'name']).split()) >= 1 and str(df.loc[index, 'text']).replace(" ",
                                                                                                    "") == "" and "(" in
                df.loc[index + 1, 'name'] and ")" in df.loc[index + 1, 'name'] and not str(
                df.loc[index + 1, 'text']).replace(" ", "") == "") \
            or (
            "(" in df.loc[index, 'name'] and not ")" in df.loc[index, 'name'] and str(df.loc[index, 'text']).replace(
        " ", "") == "" and ")" in df.loc[index + 1, 'name'] and not str(df.loc[index + 1, 'text']).replace(" ",
                                                                                                           "") == ""):
        df.loc[index, 'name'] = str(
            df.loc[index, 'name'] + " " + df.loc[index + 1, 'name'])
        df.loc[index, 'text'] = str(df.loc[index, 'text'] + df.loc[index + 1, 'text'])
        df.loc[index + 1, 'name'] = "-"
        df.loc[index + 1, 'text'] = "-"
    elif not ":" in df.loc[index, 'name'] and not "(" in df.loc[index, 'name'] \
            and str(df.loc[index, 'text']).replace(" ", "") == "" \
            and len(str(df.loc[index + 1, 'name']).split()) > 1 and str(df.loc[index + 1, 'name'])[0] == "(" \
            and not ")" in df.loc[index + 1, 'name'] \
            and str(df.loc[index + 1, 'text']).replace(" ", "") == ")" \
            and str(df.loc[index + 2, 'name']).replace(" ", "") == ":":
        df.loc[index, 'name'] = str(
            df.loc[index, 'name'] + " " + df.loc[index + 1, 'name'] + "):")
        df.loc[index, 'text'] = str(df.loc[index + 2, 'text'])
        df.loc[index + 1, 'name'] = "-"
        df.loc[index + 1, 'text'] = "-"
        df.loc[index + 2, 'name'] = "-"
        df.loc[index + 2, 'text'] = "-"
    if ":" in str(df.loc[index, 'name']) and str(df.loc[index, 'name']).count(":") > 1:
        df.loc[index, 'name'] = "-"
        df.loc[index, 'text'] = "-"

# Delete all rows with garbage data
df = df[df["name"].str.contains(
    "ΠΡΟΕΔΡ|ΒΟΥΛΕΥΤ|ΔΙΑΤΑΞΗ|ΕΡΩΤΗΣΕΩΝ|ΕΡΓΑΣΙΑ|ΠΡΟΔΡΕΥΩΝ|ΠΡΟΕΔΡΕΥΩΝ|ΑΝΤΕΙΣΑΓΓΕΛΕΙΣ|ΑΕΡΟΠΑΓΙΤΕΣ|ΠΡΟΕΥΔΡΕΥΩΝ|ΠΡΟEΔΡΕΥΩΝ|ΠΡΟΔΕΡΕΥΩΝ|ΠΡΟΔΡΕΥΟΥΣΑ|ΠΡΟΕΔΕΥΩΝ|ΑΡΕΟΠΑΓΙΤΕΣ",
    regex=True) == False]
df['name'] = df['name'].str.replace("\t", "", True)
df.drop(df.index[df["text"] == '. '], inplace=True)
df.drop(df.index[df["text"] == ') '], inplace=True)
df.drop(df.index[df["text"] == '( '], inplace=True)
df.drop(df.index[df["name"] == '(  '], inplace=True)
df.drop(df.index[df["name"] == ''], inplace=True)
df.drop(df.index[df["name"] == ':'], inplace=True)
df.drop(df.index[df["name"] == 'Α'], inplace=True)
df.drop(df.index[df["name"] == '\xa0'], inplace=True)
df.drop(df.index[df["name"] == '\xa0\xa0'], inplace=True)
df.drop(df.index[df["name"] == '-'], inplace=True)
df.drop(df.index[df["text"] == '-'], inplace=True)
df.drop(df.index[df["text"] == ' '], inplace=True)
df.drop(df.index[df["name"] == 'ν'], inplace=True)

# Save the preprocessed dataframe to a new file
df.to_csv('total_data.csv', index=False)