If you're not using csv, and you want to encode your string index, this is what worked for me:
df.index = df.index.str.encode('utf-8')
Top answer 1 of 3
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If you're not using csv, and you want to encode your string index, this is what worked for me:
df.index = df.index.str.encode('utf-8')
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Setting up the encoding should be treated when reading the input file, using the option encoding
df = pd.read_csv('bibliography.csv', delimiter=',', encoding="utf-8")
or if the file uses BOM,
df = pd.read_csv('bibliography.csv', delimiter=',', encoding="utf-8-sig")
Pandas
pandas.pydata.org › docs › reference › api › pandas.Series.str.encode.html
pandas.Series.str.encode — pandas 3.0.5 documentation
Encode character string in the Series/Index using indicated encoding · Equivalent to str.encode()
Pandas DataFrame.to_csv() struggling with encoding
How are you actually opening the generated CSV file? More on reddit.com
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January 14, 2021Encoding issues when converting a dataframe from pd.read_pickle using dd.from_pandas
Hello, I have a large pandas data frame (more than 10 thousand columns) that I have saved as a pickle using the pandas API. I want to process this information using dask capabilities but for doing ... More on github.com
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September 25, 2017Cant read special characters such as ü regardless of encoding used
Have you also specified the encoding when reading the files with pandas? There is also a `chardet` library that will attempt to guess the encoding of the file and can be used like so import chardet rawdata = open('your_file.csv', 'rb').read() result = chardet.detect(rawdata) print(result) you can then use `result` with `pd.read_csv(..., encoding=result)` More on reddit.com
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June 11, 2024weird characters in dataframe - how to standardize to UTF-8?
The encoding part where utf-8 matters is at the moment you save the Excel file, eg df.to_excel(writer, sheet_name='Sheet1', encoding='utf-8') More on reddit.com
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March 23, 2021DataScience Made Simple
datasciencemadesimple.com › home › encode and decode a column of a dataframe in python – pandas
Encode and decode a column of a dataframe in python - pandas - DataScience Made Simple
February 4, 2023 - encode() function with codec ‘base64’ and error handling scheme ‘strict’ is used along with the map() function to encode a column of a dataframe and it is stored in the column named quarter_encoded as shown above so the resultant dataframe will be
Pandas
pandas.pydata.org › pandas-docs › stable › generated › pandas.Series.str.encode.html
pandas.Series.str.encode — pandas 2.2.2 documentation
The page has been moved to this page
Practical Business Python
pbpython.com › categorical-encoding.html
Guide to Encoding Categorical Values in Python - Practical Business Python
Label encoding is simply converting each value in a column to a number. For example, the body_style column contains 5 different values. We could choose to encode it like this: ... One trick you can use in pandas is to convert a column to a category, ...
Saturn Cloud
saturncloud.io › blog › a-list-of-pandas-readcsv-encoding-options
A List of Pandas readcsv Encoding Options | Saturn Cloud Blog
May 1, 2026 - UTF-8 is the most widely used encoding format for text data. It supports all characters in the Unicode standard and is compatible with ASCII. To specify UTF-8 encoding in Pandas, use the encoding='utf-8' parameter.
Reddit
reddit.com › r/learnpython › pandas dataframe.to_csv() struggling with encoding
r/learnpython on Reddit: Pandas DataFrame.to_csv() struggling with encoding
January 14, 2021 -
Heya,
I got a DataFrame filled with strings in the first column and the rest consisting of integers (except for the headers).
Now when I export this dataframe to a csv file, and the strings contain German Umlauts (ä,ö,ü or something like ß), the exported csv file has weird looking strings at these indices.
Like "für" became "für".
As far as I know the default encoding for to_csv() is utf-8, which means it should work fine? But I also tried the parameter encoding='utf-8', same results.
What am I doing wrong here?
Top answer 1 of 2
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How are you actually opening the generated CSV file?
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Sounds like you're using an application like Excel to view it that doesn't default to UTF-8. Check https://superuser.com/questions/911369/excel-change-default-encoding-file-origin-of-text-import-wizard-to-utf-8-650 for various options here. Although my personal workaround is to use LibreOffice Calc.
Pandas
pandas.pydata.org › pandas-docs › version › 0.17.0 › generated › pandas.Series.str.encode.html
pandas.Series.str.encode — pandas 0.17.0 documentation
Enter search terms or a module, class or function name · Encode character string in the Series/Index to some other encoding using indicated encoding. Equivalent to str.encode()
GitHub
gist.github.com › ramhiser › 982ce339d5f8c9a769a0
Apply one-hot encoding to a pandas DataFrame · GitHub
One-hot encoding is supported in pandas (I think since 0.13.1) as pd.get_dummies.
GitHub
github.com › dask › dask › issues › 2713
Encoding issues when converting a dataframe from pd.read_pickle using dd.from_pandas · Issue #2713 · dask/dask
September 25, 2017 - Dask has a function called dd.from_pandas that should be the solution, but after loading my data using df = pd.read_pickle(*.pckl) and then trying to convert it into a dask data-frame with df = dd.from_pandas(df, npartitions=4), I get the following error: UnicodeEncodeError: 'utf-8' codec can't encode character '\ud83d' in position 191784: surrogates not allowed
Author: dask
Stack Abuse
stackabuse.com › one-hot-encoding-in-python-with-pandas-and-scikit-learn
One-Hot Encoding in Python with Pandas and Scikit-Learn
July 31, 2021 - In the script above, we create a Pandas dataframe, called df using two lists i.e. ids and countries. If you call the head() method on the dataframe, you should see the following result: ... The Countries column contain categorical values. We can convert the values in the Countries column into one-hot encoded vectors using the get_dummies() function:
Pandas
pandas.pydata.org › pandas-docs › stable › reference › api › pandas.Series.str.encode.html
pandas.Series.str.encode — pandas 3.0.0 documentation
Encode character string in the Series/Index using indicated encoding · Equivalent to str.encode()
GeeksforGeeks
geeksforgeeks.org › pandas › python-pandas-series-str-encode
Python | Pandas Series.str.encode() - GeeksforGeeks
March 27, 2019 - Use 'raw_unicode_escape' for encoding. ... # importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(['New_York', 'Lisbon', 'Tokyo', 'Paris', 'Munich']) # Creating the index idx = ['City 1', 'City 2', 'City 3', 'City ...
Quantum Tunnel
jrogel.com › python-3-pandas-encoding-issues
Python 3, Pandas and Encoding Issues – Quantum Tunnel
August 1, 2022 - You should in principle pass a parameter to pandas telling it what encoding the file has been saved with, so a more complete version of the snippet above would be: import python as pd df = pd.read_csv('myfile.csv', encoding='utf-8')
DEV Community
dev.to › _aadidev › 3-ways-to-handle-non-utf-8-characters-in-pandas-242
3 Ways to Handle non UTF-8 Characters in Pandas - DEV Community
January 20, 2022 - Pandas, by default, assumes utf-8 encoding every time you do pandas.read_csv, and it can feel like staring into a crystal ball trying to figure out the correct encoding.
Linux find Examples
queirozf.com › entries › one-hot-encoding-a-feature-on-a-pandas-dataframe-an-example
One-Hot Encoding a Feature on a Pandas Dataframe: Examples
September 14, 2020 - To produce an actual dummy encoding from your data, use drop_first=True (not that 'australia' is missing from the columns) import pandas as pd # using the same example as above df = pd.DataFrame({'country': ['russia', 'germany', 'australia','korea','germany']}) pd.get_dummies(df["country"],prefix='country',drop_first=True)
Medium
medium.com › @anala007 › dealing-with-the-unicodedecodeerror-in-pandas-when-reading-csv-files-edc4987bf68b
Dealing with the UnicodeDecodeError in Pandas When Reading CSV Files | by Arun | Medium
June 12, 2023 - Some encodings are more flexible than others. For example, “utf-8-sig” is a variant of UTF-8 that is more tolerant of certain types of errors: import pandas as pd df = pd.read_csv('file.csv', encoding='utf-8-sig')
Data Science for Everyone
matthew-brett.github.io › cfd2019 › chapters › 07 › text_encoding
6.9 Text encoding - Coding for Data - 2019 edition
August 14, 2020 - In fact, Pandas assumes that text is in UTF-8 format, because it is so common. In this case, as the filename suggests, the bytes for the text are in Latin 1 encoding.
KDnuggets
kdnuggets.com › 2023 › 07 › pandas-onehot-encode-data.html
Pandas: How to One-Hot Encode Data - KDnuggets
July 24, 2023 - The following commands drops the categorical_column and creates a new column for each unique value. Therefore, the single categorical column is converted into 4 new columns where only one of the 4 columns will have a 1 value, and all of the other 3 are encoded 0.
TutorialsPoint
tutorialspoint.com › python_pandas › python_pandas_series_str_encode_method.htm
Pandas Series.str.encode() Method
This example demonstrates how to use the Series.str.encode() method to encode a column of strings in a DataFrame using the 'utf-8' encoding. import pandas as pd # Create a DataFrame with a column of strings df = pd.DataFrame({ 'COLUMN1': ['', ...