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I have a data that contains domain names:
url var1 www.CNN.com xsd www.Nbc.com wer www.BBc.com xyz www.fOX.com zyx .... The data is of the Series type. I am using the following to convert url variable to lower case:
df.apply(lambda x: x.astype(str).str.lower()) However, they remain the same.
What am I doing wrong?
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In Python, lower() is a built-in method used for string handling. The lower() method returns the lowercased string from the given string. It converts all uppercase characters to lowercase.
The toLowerCase() method converts a string to lower case letters.
lower. Convert strings in the Series/Index to lowercase. Equivalent to str.
In this tutorial we will be using lower () function in pandas to convert the character column of the python pandas dataframe to lowercase. If the input string in any case (upper, lower or title) , lower () function in pandas converts the string to lower case.
Convert strings in the Series/Index to lowercase. Equivalent to str.lower(). Returns Series or Index of object See also Series.str.lower Converts all characters to lowercase.
pandas.Series.str.lower¶ Series.str.lower()[source]¶ Convert strings in the Series/Index to lowercase. Equivalent to str.lower(). Returns Series or Index of object
We used the tolower function within the loop to convert uppercase string to lowercase. The C++ has the std transform function under the algorithm file to convert uppercase string to lowercase. Please Enter the String to Convert into Lowercase = HELLo WolLD!
df['url'] = df['url'].str.lower() should operate on the series and replace it with the lower case version.
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