pandas - Time Series Plot Python -

i using pandas , want make time series plot. have dataframe, , want plot date on x-axis number of units on y-axis. assuming need convert date object datetime before can make plot.

df1_99.dtypes   date            object  store_nbr        int64  units            int64  tavg             int64  preciptotal    float64  dtype: object   df1_99         date        store_nbr      units        tavg    preciptotal  101885 2014-10-13       1          2            49       0.00  101996 2014-10-14       1          1            67       0.00  102107 2014-10-15       1          0            70       0.00  102218 2014-10-16       1          0            67       0.87  102329 2014-10-17       1          3            65       0.01 

as dates strings can use to_datetime convert datetime objects:

in [4]:  df['date'] = pd.to_datetime(df['date']) df.info() <class 'pandas.core.frame.dataframe'> int64index: 5 entries, 101885 102329 data columns (total 5 columns): date           5 non-null datetime64[ns] store_nbr      5 non-null int64 units          5 non-null int64 tavg           5 non-null int64 preciptotal    5 non-null float64 dtypes: datetime64[ns](1), float64(1), int64(3) memory usage: 240.0 bytes 

you can plot this:

df.plot(x='date', y='units')