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Reads data separated by any char

Project description

Reads data separated by any char

pip install a-pandas-ex-read-charsep-frames

Common problem:

  File "pandas\_libs\parsers.pyx", line 808, in pandas._libs.parsers.TextReader.read_low_memory

  File "pandas\_libs\parsers.pyx", line 866, in pandas._libs.parsers.TextReader._read_rows

  File "pandas\_libs\parsers.pyx", line 852, in pandas._libs.parsers.TextReader._tokenize_rows

  File "pandas\_libs\parsers.pyx", line 1973, in pandas._libs.parsers.raise_parser_error

pandas.errors.ParserError: Error tokenizing data. C error: Expected 4 fields in line 4, saw 5

Fills up missing values with NaN

from a_pandas_ex_read_charsep_frames import pd_add_read_charsep_frames

import pandas as pd

pd_add_read_charsep_frames()

df = pd.Q_read_charsep_frames(

    encoding="utf-8",

    file_or_string=r"C:\Users\Gamer\Documents\Downloads\alladd.txt",

    sep="\t",

)



print(df)





             0_0  ...                                                0_4

0       01001000  ...                                               <NA>

1       01001001  ...                                               <NA>

2       01001010  ...                                               <NA>

3       01001900  ...   UNESP - Universidade Estadual Júlio de Mesqui...

4       01001901  ...                               Edifício Santa Lídia

          ...  ...                                                ...

732758  99975970  ...                                 AGC São João Bosco

732759  99978000  ...                                               <NA>

732760  99980000  ...                                               <NA>

732761  99980970  ...                                 AC David Canabarro

732762  99980974  ...                           AGC São José do Capingui

[732763 rows x 5 columns]

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0.10

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