Series.dt.microsecond The microseconds of the datetime

DataFrame.to_stata(fname, convert_dates=None, write_index=True, encoding='latin-1', byteorder=None, time_stamp=None, data_label=None, variable_labels=None) [source] A class for writing Stata binary dta files from array-like objects Parameters: fname : str or buffer String path of file-like object convert_dates : dict Dictionary mapping columns containing datetime types to stata internal format to use when wirting the dates. Options are ?tc?, ?td?, ?tm?, ?tw?, ?th?, ?tq?, ?ty?. Column ca

pandas.read_table(filepath_or_buffer, sep='\t', delimiter=None, header='infer', names=None, index_col=None, usecols=None, squeeze=False, prefix=None, mangle_dupe_cols=True, dtype=None, engine=None, converters=None, true_values=None, false_values=None, skipinitialspace=False, skiprows=None, nrows=None, na_values=None, keep_default_na=True, na_filter=True, verbose=False, skip_blank_lines=True, parse_dates=False, infer_datetime_format=False, keep_date_col=False, date_parser=None, dayfirst=False,

TimedeltaIndex.is_monotonic alias for is_monotonic_increasing (deprecated)

Index.shape return a tuple of the shape of the underlying data

DatetimeIndex.join(other, how='left', level=None, return_indexers=False) [source] See Index.join

Series.plot(kind='line', ax=None, figsize=None, use_index=True, title=None, grid=None, legend=False, style=None, logx=False, logy=False, loglog=False, xticks=None, yticks=None, xlim=None, ylim=None, rot=None, fontsize=None, colormap=None, table=False, yerr=None, xerr=None, label=None, secondary_y=False, **kwds) [source] Make plots of Series using matplotlib / pylab. New in version 0.17.0: Each plot kind has a corresponding method on the Series.plot accessor: s.plot(kind='line') is equivalen

DatetimeIndex.is_month_end Logical indicating if last day of month (defined by frequency)

CategoricalIndex.shape return a tuple of the shape of the underlying data

DatetimeIndex.dayofweek The day of the week with Monday=0, Sunday=6