python - calling variable inside string returns ValueError -


i'm trying define these 2 variables, , use them again in line 6. however, following error when running. seems happen pandas.date_range. end goal run .py file produce chart. 

start_date = raw_input('enter start date: ') end_date = raw_input('enter end date: ')  datapr['date'] = pd.datetimeindex(datapr['intake_date']).date grouped_datapr = datapr.groupby(['date']).sum() idx = pd.date_range(start='%s', end='%s') % (start_date, end_date) grouped_datapr.index = pd.datetimeindex(grouped_datapr.index) grouped_datapr = grouped_datapr.reindex(idx, fill_value=0) grouped_datapr['date'] = grouped_datapr.index datapr_df = pd.dataframe([grouped_datapr]) ts = pd.series(grouped_datapr['count'], index=grouped_datapr.index) ts.plot() pd.rolling_mean(ts,30).plot(style='k')

error:

valueerror                                traceback (most recent call            last) <ipython-input-33-2ac5fe9d8951> in <module>()   2 grouped_datapr = datapr.groupby(['date']).sum()   3 #idx = pd.date_range('%s', '%s' % (start_date, end_date)) ----> 4 idx = pd.date_range(start='%s', end='%s') % (start_date,     end_date)       5 grouped_datapr.index = pd.datetimeindex(grouped_datapr.index)       6 grouped_datapr = grouped_datapr.reindex(idx, fill_value=0)  /users/abc/anaconda/lib/python2.7/site-    packages/pandas/tseries/index.pyc in date_range(start, end, periods,     freq, tz, normalize, name, closed, **kwargs)    1921     return datetimeindex(start=start, end=end,     periods=periods,    1922                          freq=freq, tz=tz,     normalize=normalize, name=name, -> 1923                          closed=closed, **kwargs)    1924     1925   /users/abc/anaconda/lib/python2.7/site-    packages/pandas/util/decorators.pyc in wrapper(*args, **kwargs)      87                 else:      88                     kwargs[new_arg_name] = new_arg_value ---> 89             return func(*args, **kwargs)      90         return wrapper      91     return _deprecate_kwarg  /users/abc/anaconda/lib/python2.7/site-    packages/pandas/tseries/index.pyc in __new__(cls, data, freq, start, end,     periods, copy, name, tz, verify_integrity, normalize, closed, ambiguous,     dtype, **kwargs)     235             return cls._generate(start, end, periods, name,     freq,     236                                  tz=tz, normalize=normalize,     closed=closed, --> 237                                  ambiguous=ambiguous)     238      239         if not isinstance(data, (np.ndarray, index,     abcseries)):  /users/abc/anaconda/lib/python2.7/site-    packages/pandas/tseries/index.pyc in _generate(cls, start, end, periods,     name, offset, tz, normalize, ambiguous, closed)     377      378         if start not none: --> 379             start = timestamp(start)     380      381         if end not none:  pandas/tslib.pyx in pandas.tslib.timestamp.__new__     (pandas/tslib.c:8973)()  pandas/tslib.pyx in pandas.tslib.convert_to_tsobject     (pandas/tslib.c:22522)()  pandas/tslib.pyx in pandas.tslib.convert_str_to_tsobject     (pandas/tslib.c:24520)()  valueerror:

i think need 

pd.date_range(start=start_date, end=end_date)

reason being pandas.data_range expects string or datetime-like object both start , end parameters. '%s' not datetime-like.

if valid option, however, code wrote trying modulo operation between pandas date_range , tuple of strings, more throws other error.

if did need use string formatting values, suggest using new way of string formatting 

pd.date_range(start='{}'.format(start_date), end='{}'.format(end_date))

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