def plot_resample(self, data=None, freq='1M', how=np.mean, kind='line', tupla_mag=None): # Plot de resample datos' # how=[np.min, np.max, np.mean] datos_plot = data if data is not None else self.data rdp.plot_resample(datos_plot,freq,how,kind,tupla_mag)
# Días raros (errores en los datos de REE) for d in DIAS_RAROS: rdp.plot_dia_raro(data, d) # print df0.ix['2007-10-26 21:00'] # fig, hejes = rdp.get_lienzo() # data.inter.plot(ax=hejes) # # #data.to_html(buf=None, columns=None, col_space=None, colSpace=None, header=True, index=True, na_rep='NaN', formatters=None, float_format=None, sparsify=None, index_names=True, justify=None, bold_rows=True, classes=None, escape=True, max_rows=None, max_cols=None, show_dimensions=False, notebook=False) # data.to_html('data_ree.html') # Plot resample intercambios_dia = rdp.plot_resample(data.inter, freq='1M', how=[np.min, np.max, np.mean], kind='line') # ,tupla_mag=None) cols = list(df0.columns) cols.remove('dem') print cols # noinspection PyRedeclaration fig, hejes = rdp.get_lienzo() df0.plot(y='dem', ax=hejes) # prod_menos_dem = df0.dem # df1.plot(y=cols,ax=hejes) # df2.plot(y=cols,ax=hejes) # data = pd.DataFrame([df0,df1,df2])