Python unknown encoding ansi

How to fix python convert encoding:lookuperror: unknown encoding: ansi?

The «LookupError: unknown encoding: ansi» error in Python occurs when attempting to convert a string from one encoding to another and the specified encoding (in this case, «ansi») is not recognized by the system. This error can be caused by a number of factors, such as an incorrect encoding specified or a mismatch between the encoding of the input data and the encoding specified in the conversion process.

Method 1: Specifying the Correct Encoding

To fix the error «Convert Encoding:LookupError: unknown encoding: ansi» in Python, you can specify the correct encoding of the file you are trying to read or write. Here are the steps to do it:

1. Identify the encoding of the file. You can use the chardet library to automatically detect the encoding, or you can manually specify it if you know it.

import chardet with open('file.txt', 'rb') as f: result = chardet.detect(f.read()) encoding = result['encoding'] print(encoding) encoding = 'utf-8'

1. Open the file with the correct encoding. Use the encoding parameter of the open() function to specify the encoding.

with open('file.txt', 'r', encoding=encoding) as f: content = f.read() print(content)

with open('file.txt', 'w', encoding=encoding) as f: f.write('Hello, world!')

By specifying the correct encoding, you can avoid the «Convert Encoding:LookupError: unknown encoding: ansi» error and correctly read or write the content of the file.

Method 2: Detecting the Input Encoding Automatically

To automatically detect the input encoding of a file in Python, you can use the chardet library. This library provides a simple interface for detecting the encoding of a byte stream.

Here’s an example of how to use chardet to detect the encoding of a file:

import chardet with open('file.txt', 'rb') as f: data = f.read() result = chardet.detect(data) print(result['encoding'])

In this example, we first open the file in binary mode ( ‘rb’ ) to read it as a byte stream. We then pass the byte stream to chardet.detect() to detect the encoding. The result is a dictionary that contains information about the detected encoding, including the encoding name. We print the encoding name using result[‘encoding’] .

If you want to convert the file to a different encoding, you can use the codecs module. Here’s an example of how to convert a file to UTF-8 encoding:

import chardet import codecs with open('file.txt', 'rb') as f: data = f.read() result = chardet.detect(data) text = codecs.decode(data, result['encoding']) utf8_data = text.encode('utf-8') with open('file_utf8.txt', 'wb') as f: f.write(utf8_data)

In this example, we first detect the encoding of the file using chardet.detect() , as we did in the previous example. We then use the codecs.decode() function to convert the byte stream to a text string using the detected encoding. Finally, we encode the text string as UTF-8 using the encode() method and write the result to a new file.

Note that chardet is not perfect and may not always detect the correct encoding. You should always verify the detected encoding manually to ensure that it is correct.

Method 3: Using chardet Library

To fix the «Convert Encoding:LookupError: unknown encoding: ansi» error in Python, you can use the chardet library. This library is used to detect the encoding of a file or string. Here are the steps to use chardet to fix the error:

with open('file.txt', 'rb') as f: result = chardet.detect(f.read()) encoding = result['encoding']

with open('file.txt', encoding=encoding) as f: contents = f.read()

Here is the complete code example:

import chardet import chardet with open('file.txt', 'rb') as f: result = chardet.detect(f.read()) encoding = result['encoding'] with open('file.txt', encoding=encoding) as f: contents = f.read() print(contents)

This code will detect the encoding of the file and open it using the correct encoding, allowing you to process the contents without any encoding errors.

Method 4: Handling Invalid Encodings Gracefully

To handle invalid encodings gracefully in Python, you can use the codecs module. This module provides a way to open a file with a specific encoding and handle any errors that may occur during the encoding conversion process.

Here’s an example of how to use the codecs module to handle the «unknown encoding: ansi» error:

import codecs try: with codecs.open('myfile.txt', encoding='ansi') as f: contents = f.read() except LookupError: with codecs.open('myfile.txt', encoding='utf-8') as f: contents = f.read()

In this example, we try to open the file «myfile.txt» with the «ansi» encoding. If this encoding is not recognized, a LookupError will be raised. In this case, we catch the error and try to open the file again with the «utf-8» encoding.

Another way to handle invalid encodings is to use the errors parameter in the codecs.open() function. This parameter specifies how to handle errors during the encoding conversion process. Here’s an example:

import codecs with codecs.open('myfile.txt', encoding='ansi', errors='replace') as f: contents = f.read()

In this example, we open the file «myfile.txt» with the «ansi» encoding and specify the errors parameter to be «replace». This means that if any characters cannot be converted to the target encoding, they will be replaced with the Unicode replacement character (U+FFFD).

You can also use other values for the errors parameter, such as «ignore» (which ignores any characters that cannot be converted) or «xmlcharrefreplace» (which replaces any non-ASCII characters with their XML character references).

Overall, using the codecs module is a great way to handle invalid encodings gracefully in Python. By specifying the encoding and error handling parameters, you can ensure that your code can handle any file encoding that comes your way.

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Unknown encoding ANSI causing lookup error during Python encoding conversion

Upon clicking View/Character Encoding, you can try using chardet to identify the encoding. Assuming the encoding is cp1252, you must first convert your input data into unicode and process it (removing slashes/ticks/etc.) as unicode. Additionally, you need to output your data encoded as utf8. It is important to note that the error message may indicate a rather long text chunk in position 1258, which may or may not be reasonable. Another issue to consider is that Mac uses forward slashes instead of backslashes for file paths.

Python Convert Encoding:LookupError: unknown encoding: ansi

Python Standard Encodings do not include ansi encoding.

Select suitable encodings by referring to the Standard Encodings link.

I have discovered the solution with the assistance of @falsetru.

#coding:utf-8 import chardet def convertEncoding(from_encode,to_encode,old_filepath,target_file): f1=file(old_filepath) content2=[] while True: line=f1.readline() content2.append(line.decode(from_encode).encode(to_encode)) if len(line) ==0: break f1.close() f2=file(target_file,'w') f2.writelines(content2) f2.close() convertFile = open('1234.csv','r') data = convertFile.read() convertFile.close() convertEncoding(chardet.detect(data)['encoding'], "utf-8", "1234.csv", "1234_bak.csv") 

Python Convert Encoding:LookupError: unknown, Because my cdv file is encoded as utf-8, opening it with Excel will cause distortion, and when I then convert it to the standard ANSI encoding, I get this error: code: import chardet def convertEn Code sampledef convertEncoding(from_encode,to_encode,old_filepath,target_file):f1=file(old_filepath)content2=[]while True:line=f1.readline()Feedback

Is there a way to convert ANSI (Windows only) encoded files to UTF-8 using python?

After encountering a problem, I was able to resolve it by altering the ANSI codec to cp1252, which enabled my Mac to locate the required codec. This rectified the issue, although I faced another challenge immediately after. I discovered that Mac employs forward slashes instead of back slashes in file paths. With some adjustments to the script, I eventually managed to create a functional version.

import sys import os if len(sys.argv) != 2: print(f"Converts the contents of a folder to UTF-8 from ASCI.") print(f"USAGE: \n\ python ANSI_to_UTF8.py \n\ If targeting a nested folder, make sure to use an escaped \\. ie: parent\\\\child") sys.exit() from_encoding = "cp1252" to_encoding = "UTF-8" list_of_files = [] current_dir = os.getcwd() folder = sys.argv[1] suffix = "_utf8" target_folder = folder + "_utf8" try: os.mkdir(target_folder) except FileExistsError: print("Target folder already exists.") except: print("Error making directory!") for root, dirs, files in os.walk(folder): for file in files: list_of_files.append(os.path.join(root,file)) for file in list_of_files: print(f"Converting ") original_path = file filename = file.split("/")[-1].split(".")[0] extension = file.split("/")[-1].split(".")[1] folder = "/".join(original_path.split("/")[0:-1]) new_filename = filename + "." + extension new_path = os.path.join(target_folder, new_filename) f= open(original_path, 'r', encoding=from_encoding) content= f.read() f.close() f= open(new_path, 'w', encoding=to_encoding) f.write(content) f.close() print(f"Finished converting files to ") 

This version includes minor modifications that enable proper encoding comprehension and routing on Mac. Appreciation to everyone who provided assistance once again!

Is there a way to convert ANSI (Windows only) encoded, I have enough files for the need for automation so I have resorted to a python script. Until recently, I was on Windows and everything worked fine. After switching to Mac, I realized that ANSI is a Windows only encoding type and now my script no longer works. Question: Is there a way to convert ANSI encoded CSVs to UTF-8 …

Importing file with unknown encoding from Python into MongoDB

Ensure that while removing slashes, ticks, or any other characters, the data remains intact. In case of confusion regarding ticks, kindly share your code. Additionally, provide a sample of the original data using print repr(sample_raw data) and paste the output in your question’s edit section.

The saying goes that if you don’t know the encoding of a file or it’s mentioned as ISO-8859-1, then it’s probably cp1252. This is especially true if the source of the file is from Western Europe, the Americas, or any English/French/Spanish-speaking area and if it’s not in valid UTF-8 format.

In the edited version 2, the decoding of your error byte 0x93 corresponds to U+201C LEFT DOUBLE QUOTATION MARK for all encodings from cp1250 to cp1258, including them all. Can you specify the language in which the text is written?

After removing the tick, save the file and then open it in your browser. Check if the format looks appropriate and click on View / Character Encoding to see what is displayed.

Add additional guidance to the edit.

Assuming the encoding is cp1252, once you have identified it,

To ensure compatibility, it is recommended that you transform your input data into Unicode format using the following code: uc = raw_data.decode(‘cp1252’) .

The data should be processed in unicode format, which involves removing any slashes, ticks, or similar characters. This can be accomplished using the clean_uc = manipulate(uc) method.

To ensure proper encoding of your data, it is necessary to output it as utf8. This can be achieved by utilizing the following code: to_mongo = clean_uc.encode(‘utf8’)

The error message you received mentions byte 0x93 in position 1258. However, 1258 bytes is a large amount of text. It may be helpful to inspect the data causing the issue. Can you describe how you examined the data and what you observed?

Kindly take into account going through both the Python Unicode HOWTO and this piece.

Importing file with unknown encoding from Python into, LookupError: unknown encoding: unicode From there, I can make my string manipulations such as replacing the slashes, ticks, and quotes. Then before inserting the data into MongoDB, convert it to UTF-8 using the str.encode(‘utf-8’) function. Problem: When converting to Unicode, I am receiving the error

Python xlrd unknown encoding: unknown_codepage_10008

abook = xlrd.open_workbook(. encoding_override="cp10008") 

Python — MBCS encoding unknown, MBCS is not an encoding, it’s a category of encodings, namely those that use a variable number of bytes per character (or a fixed number, usually two). So you need to find out which one your file is using (UTF-8 is the most common one) and use that.

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