original_docstring: Return datarfreames for Report summary.
  
          This method will create dataframes with relevant info about the report.
  
          Returns
          -------
          tabs : bokeh Column
              Bokeh Column with the summary table plot
  
          Example
          -------
          >>> import ross as rs
          >>> report = rs.report_example()
          >>> stability1 = report.stability_level_1(D=[0.35, 0.35],
          ...                          H=[0.08, 0.08],
          ...                          HP=[10000, 10000],
          ...                          RHO_ratio=[1.11, 1.14],
          ...                          RHOd=30.45,
          ...                          RHOs=37.65,
          ...                          oper_speed=1000.0)
          >>> stability2 = report.stability_level_2()
          >>> df_lvl1, df_lvl2 = report.summary()
          
docstring: Return datarfreames for Report summary.
  This method will create dataframes with relevant info about the report.
  
  Returns
  
  tabs : bokeh Column
  Bokeh Column with the summary table plot
  
  Example
  
  
docstring_tokens: Return datarfreames for Report summary . This method will create dataframes with relevant info about the report . Returns tabs : bokeh Column Bokeh Column with the summary table plot Example
code: def summary(self):
          """Return datarfreames for Report summary.
  
          This method will create dataframes with relevant info about the report.
  
          Returns
          -------
          tabs : bokeh Column
              Bokeh Column with the summary table plot
  
          Example
          -------
          >>> import ross as rs
          >>> report = rs.report_example()
          >>> stability1 = report.stability_level_1(D=[0.35, 0.35],
          ...                          H=[0.08, 0.08],
          ...                          HP=[10000, 10000],
          ...                          RHO_ratio=[1.11, 1.14],
          ...                          RHOd=30.45,
          ...                          RHOs=37.65,
          ...                          oper_speed=1000.0)
          >>> stability2 = report.stability_level_2()
          >>> df_lvl1, df_lvl2 = report.summary()
          """
          stab_lvl1_data = dict(
              tags=[self.tag],
              machine_type=[self.machine_type],
              Q0=[self.Q0],
              Qa=[self.Qa],
              log_dec_a=[self.log_dec_a],
              Qratio=[self.Qratio],
              crti_speed=[self.crit_speed],
              MCS=[self.MCS],
              CSR=[self.CSR],
              RHO_gas=[self.RHO_gas],
          )
          stab_lvl2_data = dict(
              tags=self.df_logdec["tags"], logdec=self.df_logdec["log_dec"]
          )
  
          df_stab_lvl1 = pd.DataFrame(stab_lvl1_data)
          df_stab_lvl2 = pd.DataFrame(stab_lvl2_data)
  
          return df_stab_lvl1, df_stab_lvl2
code_tokens: def summary ( self ) : stab_lvl1_data = dict ( tags = [ self . tag ] , machine_type = [ self . machine_type ] , Q0 = [ self . Q0 ] , Qa = [ self . Qa ] , log_dec_a = [ self . log_dec_a ] , Qratio = [ self . Qratio ] , crti_speed = [ self . crit_speed ] , MCS = [ self . MCS ] , CSR = [ self . CSR ] , RHO_gas = [ self . RHO_gas ] , ) stab_lvl2_data = dict ( tags = self . df_logdec [ "tags" ] , logdec = self . df_logdec [ "log_dec" ] ) df_stab_lvl1 = pd . DataFrame ( stab_lvl1_data ) df_stab_lvl2 = pd . DataFrame ( stab_lvl2_data ) return df_stab_lvl1 , df_stab_lvl2
short_docstring: Return datarfreames for Report summary.
short_docstring_tokens: Return datarfreames for Report summary .
comment: """Return datarfreames for Report summary.
  
          This method will create dataframes with relevant info about the report.
  
          Returns
          -------
          tabs : bokeh Column
              Bokeh Column with the summary table plot
  
          Example
          -------
          >>> import ross as rs
          >>> report = rs.report_example()
          >>> stability1 = report.stability_level_1(D=[0.35, 0.35],
          ...                          H=[0.08, 0.08],
          ...                          HP=[10000, 10000],
          ...                          RHO_ratio=[1.11, 1.14],
          ...                          RHOd=30.45,
          ...                          RHOs=37.65,
          ...                          oper_speed=1000.0)
          >>> stability2 = report.stability_level_2()
          >>> df_lvl1, df_lvl2 = report.summary()
          """