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There are 2 csv files in same location: 1- candidates.csv 2- Store.csv

When I'm importing candidates.csv filw while using this code, it is getting imported:

data=pandas.read_csv("C:\\Users\\Nupur\\Desktop\\Ankit\\candidates.csv")

But when I'm using same code for importing Store.csv file, it is giving error:

data=pandas.read_csv("C:\\Users\\Nupur\\Desktop\\Ankit\\Store.csv")

Error:

UnicodeDecodeError Traceback (most recent call last) pandas_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens()

pandas_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype()

pandas_libs\parsers.pyx in pandas._libs.parsers.TextReader._string_convert()

pandas_libs\parsers.pyx in pandas._libs.parsers._string_box_utf8()

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf6 in position 9: invalid start byte

During handling of the above exception, another exception occurred:

UnicodeDecodeError Traceback (most recent call last) in ----> 1 data=pandas.read_csv("C:\Users\Nupur\Desktop\Ankit\Store.csv")

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision) 676 skip_blank_lines=skip_blank_lines) 677 --> 678 return _read(filepath_or_buffer, kwds) 679 680 parser_f.name = name

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds) 444 445 try: --> 446 data = parser.read(nrows) 447 finally: 448 parser.close()

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in read(self, nrows) 1034 raise ValueError('skipfooter not supported for iteration') 1035 -> 1036 ret = self._engine.read(nrows) 1037 1038 # May alter columns / col_dict

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in read(self, nrows) 1846 def read(self, nrows=None): 1847 try: -> 1848 data = self._reader.read(nrows) 1849 except StopIteration: 1850 if self._first_chunk:

pandas_libs\parsers.pyx in pandas._libs.parsers.TextReader.read()

pandas_libs\parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory()

pandas_libs\parsers.pyx in pandas._libs.parsers.TextReader._read_rows()

pandas_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_column_data()

pandas_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens()

pandas_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype()

pandas_libs\parsers.pyx in pandas._libs.parsers.TextReader._string_convert()

pandas_libs\parsers.pyx in pandas._libs.parsers._string_box_utf8()

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf6 in position 9: invalid start byte

Try using this,

data=pandas.read_csv("C:\\Users\\Nupur\\Desktop\\Ankit\\Store.csv",encoding = "ISO-8859-1")

How to Import a CSV File into Python using Pandas, 3. Python – Paths, Folders, Files. When you specify a filename to Pandas.​read_csv, Python will look in your “current working directory“. Steps to Import a CSV File into Python using Pandas. Step 1: Capture the File Path. Firstly, capture the full path where your CSV file is stored. In my case, the CSV file is stored under the Step 2: Apply the Python code. Step 3: Run the Code. Optional Step: Select Subset of Columns.

If you face an encoding error due to encoding on your file not being the default as mentioned by the pd.read_csv() docs , you can find the encoding of the file by first installing chardet followed by the below code:

import chardet    
rawdata = open('D:\\path\\file.csv', 'rb').read()
result = chardet.detect(rawdata)
charenc = result['encoding']
print(charenc)

This will give you the encoding of the file.

Once you have the encoding, you can read as :

pd.read_csv('D:\\path\\file.csv',encoding = 'encoding you found')

or

pd.read_csv(r'D:\path\file.csv',encoding = 'encoding you found')

You will get the list of all encoding here

Hope you find this useful.

Python Pandas read_csv: Load Data from CSV Files, Learn how to read, process, and parse CSV from text files using Python. Introduction to Python 3 to see how you can go from beginner to intermediate in Python with a import csv with open('employee_birthday.txt') as csv_file: csv_reader file, what should I do knowing that my csv file is in the same folder as my script: import csv with open ('some.csv', 'w', newline = '') as f: writer = csv. writer (f) writer. writerows (someiterable) Since open() is used to open a CSV file for reading, the file will by default be decoded into unicode using the system default encoding (see locale.getpreferredencoding() ).

Did you tried:

data=pandas.read_csv("C:\\Users\\Nupur\\Desktop\\Ankit\\Store.csv", encoding='utf-8')

If above doesn't work then seems you coding format is different, I would suggest to choose few encoding for Windows such as encoding='iso-8859-1', encoding='cp1252' or encoding='latin1' .

OR try adding r in front of the filename, so that it will be considered a "raw string" so that backslashes won't be treated specially:

data=pandas.read_csv(r"C:\\Users\\Nupur\\Desktop\\Ankit\\Store.csv", encoding='cp1252')

Reading and Writing CSV Files in Python – Real Python, Files of CSV will open into Excel, and nearly all databases have a tool to allow import from CSV file. The standard format is defined by rows and  Reading CSV files using Python 3 is what you will learn in this article. The file data contains comma separated values (csv). The comma is known as the delimiter, it may be another character such as a semicolon. Related course Python Programming Bootcamp: Go from zero to hero. Read CSV. An example csv file:

Reading and Writing CSV Files in Python using CSV Module , "Directories" is just another word for "folders", and the "working You're now ready to import the CSV file into Python using read_csv() from pandas : X.1 X.2 X.3 X.4 X.5 X.6 \ 0 name mfr type calories protein fat 1 100% Bran  This Python 3 tutorial covers how to read CSV data in from a file and then use it in Python. For this, we use the csv module. CSV literally stands for comma separated variable, where the comma is what is known as a "delimiter." While you can also just simply use Python's split() function, to separate lines and data within each line, the CSV

Importing Data with Pandas' read_csv(), UGC NET CS Notes Paper II · UGC NET CS Notes Paper III · UGC NET CS Solved CSV files are the “comma separated values”, these values are separated by Let's see the different ways to import csv file in Pandas. Takes the file's folder reStructuredText | .rst file to HTML file using Python for Documentations  Importing and exporting CSV files in Python. Kasia Rachuta. Follow. May 27, object_name = pd.read_csv(“file_name.csv”) Ensure to import pandas as pd before running the above method.

Different ways to import csv file in Pandas, Learn how to import text data from .csv files into numpy arrays. CSV Files of Tabular Data as Inputs to Pandas Dataframes Set working directory to earth-​analytics os.chdir(os.path.join(et.io. 3, Apr, 2.93, Spring begins with [0] , as it does for Python lists and numpy arrays, and that you did not have to  It will also cover a working example to show you how to read and write data to a CSV file in Python. What Is a CSV File? A CSV (comma separated values) file allows data to be saved in a tabular structure with a .csv extension. CSV files have been used extensively in e-commerce applications because they are considered very easy to process.

Comments
  • Possible duplicate of UnicodeDecodeError when reading CSV file in Pandas with Python
  • Ankit, did you tried encoding='utf-8' ?