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Hi, I want to identify the datatypes of the te entire dataframe and group it as String, Number and Date. Required Output: Attributes Datatype A String B Number C String As of now I am using the code: for col_number in range(len(data_frame.columns)): datatype = data_frame[data_frame.columns[col_number]].apply(type).unique()[0] if (datatype is np.str or … |
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I have an integer dataframe and in my code I am doing some length calculation( which can be only perfomred on string), therefore I need to convert my dataframe to String. I have tried using str(), its not helping me, it would be helpful if you could suggest something.
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Hi, I want to replace all the character in my string with 'aaaa' as many number of times as there are occurence of the character. For eg. if my string is "cat", output should be "aaa" and if its "hello" output should be "aaaaa". As of now, I am using … 
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Hi, I have a list which contains strings in each value. I want the word count of each string and then I will have to find out the string with minimum word count and max. word count in that list. Help is much appreciated.
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