python - pandas: how to eliminate rows with value ending with a specific character? -

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i have pandas dataframe follows:

mail = dataframe({'mail' : ['adv@gmail.com', 'fhngn@gmail.com', 'foinfo@yahoo.com', 'njfjrnfjrn@yahoo.com', 'nfjebfjen@hotmail.com', 'gnrgiprou@hotmail.com', 'jfei@hotmail.com']})

that looks like:

                    mail 0          adv@gmail.com 1        fhngn@gmail.com 2       foinfo@yahoo.com 3   njfjrnfjrn@yahoo.com 4  nfjebfjen@hotmail.com 5  gnrgiprou@hotmail.com 6       jfei@hotmail.com

what want filter out (elimiante) rows in value in column mail ends '@gmail.com'.

you can use str.endswith , negate result of boolean series ~:

mail[~mail['mail'].str.endswith('@gmail.com')]

which produces:

                    mail 2       foinfo@yahoo.com 3   njfjrnfjrn@yahoo.com 4  nfjebfjen@hotmail.com 5  gnrgiprou@hotmail.com 6       jfei@hotmail.com

pandas has many other vectorised string operations accessible through .str accessor. many of these instantly familiar python's own string methods, come built in handling of nan values.


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