datetime - Can't convert date time to python readable format -


i have range of date time follows:

date 2017-04-02 12:00 2017-04-02 01:00 2017-04-02 02:00 2017-04-02 03:00 2017-04-02 04:00 2017-04-02 05:00 2017-04-02 06:00 2017-04-02 07:00 2017-04-02 08:00 2017-04-02 09:00 2017-04-02 10:00

i want convert of them python date time plot in x-axis.i used following code:

dates=fire['date']#copy date value in dataframe x = dt.datetime.strptime('dates',"%y-%m-%d %i:%m %p").date()

but gives me error as:

time data 'd' not match format '%y-%m-%d %i:%m %p'

how can convert these dates python readable dates?

d variable, need remove quotes: 

x = [dt.datetime.strptime(d,"%y-%m-%d %i:%m %p").date() d in dates]

edit : reproducible example

following op request, here's reproducible example: 

import pandas pd  import datetime dt  stringio import stringio   data=""" date 2017-04-02 12:00 2017-04-02 01:00 2017-04-02 02:00 2017-04-02 03:00 2017-04-02 04:00 2017-04-02 05:00 2017-04-02 06:00 2017-04-02 07:00 2017-04-02 08:00 2017-04-02 09:00 2017-04-02 10:00 """ # stringio used simulate reading csv file df = pd.read_csv(stringio(data)) print(df.head())   dates = df['date'] x = [dt.datetime.strptime(d,"%y-%m-%d %i:%m %p").date() d in dates] print(x)

the output: 

[datetime.date(2017, 4, 2), datetime.date(2017, 4, 2), datetime.date(2017, 4, 2), datetime.date(2017, 4, 2), datetime.date(2017, 4, 2), datetime.date(2017, 4, 2), datetime.date(2017, 4, 2), datetime.date(2017, 4, 2), datetime.date(2017, 4, 2), datetime.date(2017, 4, 2), datetime.date(2017, 4, 2)]

on side note, pandas can parse dates follows: 

df2 = pd.read_csv(stringio(data), parse_dates=['date'])

the output: 

                 date 0 2017-04-02 00:00:00 1 2017-04-02 01:00:00 2 2017-04-02 02:00:00 3 2017-04-02 03:00:00 4 2017-04-02 04:00:00

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