since strings data types have variable length, it is by default stored as object dtype. If you want to store them as string type, you can do something like this.

df['column'] = df['column'].astype('|S80') #where the max length is set at 80 bytes,

or alternatively

df['column'] = df['column'].astype('|S') # which will by default set the length to the max len it encounters
Answer from Siraj S. on Stack Overflow
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Stack Overflow
stackoverflow.com › questions › 67511526 › python-convert-string-to-object
pandas - Python convert string to object - Stack Overflow
0 Pandas Object to String · 3 Python+sqlAlchemy: change dtype object to string dynamically · 2 Can't convert this SQL String (with VALUES ... AS) to SQLAlchemy Code · 6 Python:Pandas - Object to string type conversion in dataframe · 0 Object Type not convertable in string Python ·
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Pandas
pandas.pydata.org › docs › user_guide › text.html
Working with text data — pandas 3.0.2 documentation
When not using PyArrow as the storage, the performance of StringDtype is about the same as that of object. We expect future enhancements to significantly increase the performance and lower the memory overhead of StringDtype in this case. Changed in version 3.0: The default when pandas infers the dtype of a collection of strings is to use dtype='str'.
Discussions

Unable to convert a pandas object to a string in my DataFrame
object is just the dtype pandas uses for columns that contain values of type str (and many other Python types). The actual values themselves are still strings: import pandas as pd df = pd.DataFrame([["hello"], ["world"]], columns=["words"]) df.dtypes >>> words object dtype: object type(df.loc[0, "words"]) >>> Using .astype(str) does convert all values to string if they aren't already, but it doesn't change the column dtype by design. The only way around this is to use pandas's own string type via .astype("string"), but that's different from the str type, obviously. What exactly are the issues you are facing with the API? More on reddit.com
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December 10, 2021
python - How to convert column with dtype as object to string in Pandas Dataframe - Stack Overflow
When I read a csv file to pandas dataframe, each column is cast to its own datatypes. I have a column that was converted to an object. I want to perform string operations for this column such as More on stackoverflow.com
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BUG: Pandas refuses to convert object type to string
Pandas version checks I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of pandas. I have confirmed this bug exists on the main br... More on github.com
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July 6, 2022
Wasting time again on Pandas trying to convert a freaking string into a float... So much fun with this library
You should learn pandas properly first before complaining about the library lol More on reddit.com
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December 10, 2022
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Reddit
reddit.com › r/learnpython › unable to convert a pandas object to a string in my dataframe
r/learnpython on Reddit: Unable to convert a pandas object to a string in my DataFrame
December 10, 2021 -

Trying to use the YouTube API to pull through some videos for data analysis and am currently using just two videos in a dataframe to play around with the functionality as I'm new to all of this.

I'm using another API to get the transcripts for each video but I need to input the video_id into that API to get transcripts for each video.

The only problem is everything is stored as an object and whenever I try .astype(str) or something like that, it still says the data is an object and means I can't do anything with the data when a string is a required argument for the other API

This is what I get when calling .info() on my dataframe:

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 2 entries, 0 to 1
Data columns (total 10 columns):
 #   Column                Non-Null Count  Dtype 
---  ------                --------------  ----- 
 0   video_id              2 non-null      object
 1   publishedAt           2 non-null      object
 2   channelId             2 non-null      object
 3   title                 2 non-null      object
 4   description           2 non-null      object
 5   channelTitle          2 non-null      object
 6   tags                  2 non-null      object
 7   categoryId            2 non-null      object
 8   liveBroadcastContent  2 non-null      object
 9   defaultAudioLanguage  2 non-null      object
dtypes: object(10)
memory usage: 288.0+ bytes

Any help would be really appreciated or an explanation of how these issues are usually handled

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Towards Data Science
towardsdatascience.com › home › latest › why we need to use pandas new string dtype instead of object for textual data
Why We Need to Use Pandas New String Dtype Instead of Object for Textual Data | Towards Data Science
January 19, 2025 - We can pass "string" or pd.StringDtype() argument to dtype parameter to select string datatype. We can also convert from "object" to "string" data type using astype function:
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Pandas
pandas.pydata.org › docs › user_guide › migration-3-strings.html
Migration guide for the new string data type (pandas 3.0) — pandas 3.0.2 documentation
First, object dtype is not specific to strings: any Python object can be stored in an object-dtype array, not just strings, and seeing object as the dtype for a column with strings is confusing for users. Second, this is not always very efficient (both performance wise and for memory usage). Since pandas 1.0, an opt-in string data type has been available, but this has not yet been made the default, and uses the pd.NA scalar to represent missing values.
Find elsewhere
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Kaggle
kaggle.com › general › 188478
What is the difference between Pandas Object & String dtype
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Sentry
sentry.io › sentry answers › python › change a column type in a dataframe in python pandas
Change a column type in a DataFrame in Python Pandas | Sentry
Which one to use will depend on the data types we’re converting from and to. If we want to convert a column from any data type to one specific data type (e.g. integer, float, string), we should use the astype method.
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pandas
pandas.pydata.org › pdeps › 0014-string-dtype.html
PDEP-14: Dedicated string data type for pandas 3.0
May 3, 2024 - This PDEP proposes to introduce a dedicated string dtype that will be used by default in pandas 3.0: In pandas 3.0, enable a string dtype ("str") by default, using PyArrow if available or otherwise a string dtype using numpy object-dtype under the hood as fallback.
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Scaler
scaler.com › home › topics › pandas › convert column to string in pandas
Convert Column to String in Pandas - Scaler Topics
December 19, 2022 - Learn how to Convert Column to String in Pandas. This article on scaler topics covers operations using different Strings methods in Pandas.
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Saturn Cloud
saturncloud.io › blog › python-pandas-converting-object-to-string-type-in-dataframes
Python Pandas: Converting Object to String Type in DataFrames | Saturn Cloud Blog
October 26, 2023 - We then create a DataFrame with two columns: A and B. Column A contains integers, and column B contains objects. To convert column B from object to string, we use the astype() function, which is a function that converts the data type of a Pandas ...
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Spark By {Examples}
sparkbyexamples.com › home › pandas › convert pandas series to string
Convert Pandas Series to String - Spark By {Examples}
March 27, 2024 - The to_string() function is used to provide a string representation of the given series object which ideally converts Pandas Series to string.
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Statology
statology.org › home › how to convert pandas dataframe columns to strings
How to Convert Pandas DataFrame Columns to Strings
July 29, 2020 - #convert every column to strings df = df.astype(str) #check data type of each column df.dtypes player object points object assists object dtype: object
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GitHub
github.com › pandas-dev › pandas › issues › 47610
BUG: Pandas refuses to convert object type to string · Issue #47610 · pandas-dev/pandas
July 6, 2022 - To visualize the ratings go to the [Ratings](Ratings.ipynb) notebook and to do topic modeling go to the [Topic Modeling](Topic Modeling.ipynb) notebook."\n ]\n }\n ],\n "metadata": {\n "kernelspec": {\n "display_name": "Python 2",\n "language": "python",\n "name": "python2"\n },\n "language_info": {\n "codemirror_mode": {\n "name": "ipython",\n "version": 2\n },\n "file_extension": ".py",\n "mimetype": "text/x-python",\n "name": "python",\n "nbconvert_exporter": "python",\n "pygments_lexer": "ipython2",\n "version": "2.7.9"\n }\n },\n "nbformat": 4,\n "nbformat_minor": 0\n}\n'}, 'language': {'0': 'Jupyter Notebook', '1': 'Jupyter Notebook'}} toy_df = pd.DataFrame.from_dict(my_dict) toy_df.dtypes toy_df.infer_objects().dtypes toy_df.content.astype('str') # Returns object dtype, not string · For some reason I can't convert object dtype to str in pandas dataframe.
Author   steve-solun
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Statistics Globe
statisticsglobe.com › home › python programming language for statistics & data science › convert object data type to string in pandas dataframe column in python (2 examples)
Convert Object Data Type to String in pandas DataFrame Python Column
May 2, 2022 - In Table 2 you can see that we have created an updated version of our pandas DataFrame using the previous Python programming code. In this new DataFrame, you can see a b in front of the values in the column x2. The b stands for bytes, and you can learn more about this here. However, let’s check the dtypes of our updated DataFrame columns: print(data.dtypes) # Print data types of columns # x1 int64 # x2 |S1 # x3 int64 # dtype: object · The column x2 has been converted to the |S1 class (which stands for strings with a length of 1).
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GeeksforGeeks
geeksforgeeks.org › pandas › pandas-convert-column-to-string-type
Pandas Convert Column To String Type - GeeksforGeeks
July 23, 2025 - The astype() method in Pandas is a straightforward way to change the data type of a column to any desired type. The astype method has the following syntax: ... Here we define that the numeric type for the dataset should be converted to a string ...
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Pandas
pandas.pydata.org › pandas-docs › stable › reference › api › pandas.DataFrame.to_string.html
pandas.DataFrame.to_string — pandas 3.0.2 documentation
Max width to truncate each column in characters. By default, no limit. ... Set character encoding. ... If buf is None, returns the result as a string.
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Appdividend
appdividend.com › converting-columns-to-string-in-pandas-dataframe
Converting Columns to String in Pandas DataFrame
January 7, 2025 - The .astype() method in Pandas explicitly changes the data type of a Series or column of a DataFrame (or an entire DataFrame). If you want to convert it into a String, pass “str” to the astype() method.
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Modelo.io
modelo.io › damf › article › 2024 › 10 › 11 › 2031 › how-to-convert-object-to-string-in-pandas
How to Convert Object to String in Pandas
Learn how to easily convert object data type to string in Pandas for better data manipulation and analysis.