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I have the following subset of data and I need to sort the Education column in ascending order; from 0 to 17.
I tried the following code without success.
suicide_data.sort_index(axis=0, kind='mergesort')
also...
suicide_data.Education.sort_values()
and...
suicide_data.sort_values('Education')
Here is the error I'm getting...
TypeError: '>' not supported between instances of 'float' and 'str'
The documentation says that str can be sort with the sort_values() method. Does anyone know how to sort the Education column in ascending order?
434
pandas.DataFrame.head() In Python's Pandas module, the Dataframe class provides a head() function to fetch top rows from a Dataframe i.e. It returns the first n rows from a dataframe. If n is not provided then default value is 5.
Pandas drop_duplicates() Function Syntax If 'first', duplicate rows except the first one is deleted. If 'last', duplicate rows except the last one is deleted. If False, all the duplicate rows are deleted. inplace: if True, the source DataFrame is changed and None is returned.
To sort the DataFrame based on the values in a single column, you'll use . sort_values() . By default, this will return a new DataFrame sorted in ascending order. It does not modify the original DataFrame.
You can sort pandas DataFrame by one or multiple (one or more) columns using sort_values() method and by ascending or descending order. To specify the order, you have to use ascending boolean property; False for descending and True for ascending.
It looks like you must have mixed types within the Education column of your DataFrame. The error message is telling you that it cannot compare the strings to the floats in your column. Assuming you want to sort the values numerically, you could convert them to integer type and then sort. I'd advise you do this anyways, as mixed types won't be too useful for any operations in your DataFrame. Then use DataFrame.sort_values.
suicide_data['Education'] = suicide_data['Education'].astype('int')
suicide_data.sort_values(by='Education')
It is also worth pointing out that your first attempt,
suicide_data.sort_index(axis=0, kind='mergesort')
would sort your DataFrame by the index, which you don't want, and your second attempt
suicide_data.Education.sort_values()
would only return the sorted Series - they are completely invalid approaches.
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