def to_report_lab(cls, alphabeta_chl, reportlabconfig, make_graphs): from reportlab.platypus import Paragraph, Table local_elements = [] local_elements.append(Paragraph("Overview", reportlabconfig.styles['Heading3'])) # Summary: overview_table_data = [ ["Max Conductance (gBar)", alphabeta_chl.conductance.rescale("mS/cm2")], ["Reversal Potential", alphabeta_chl.reversalpotential.rescale("mV")], ["Conductance Equation", "gBar * " + alphabeta_chl.eqn], ] local_elements.append(Table(overview_table_data, style=reportlabconfig.listTableStyle)) # Plot out the States: for state, params in alphabeta_chl.statevars.iteritems(): local_elements.append(Paragraph("State: %s" % state, reportlabconfig.styles['Heading3'])) #Equations: eqns = [ "alpha(V) = (A+BV)/(C+exp((V+D)/E))", "beta(V) = (A+BV)/(C+exp((V+D)/E))", ] for eqn in eqns: local_elements.append(Paragraph(eqn, reportlabconfig.styles['Normal'])) # Alpha Beta ReportLabTools.build_alpha_beta_table(elements=local_elements, reportlabconfig=reportlabconfig, title="Alpha", params=params[0]) ReportLabTools.build_alpha_beta_table(elements=local_elements, reportlabconfig=reportlabconfig, title="Beta1", params=params[1]) if make_graphs: # Figures: fig = cls.plot_state_curve_summary(alphabeta_chl, state, figsize=(5, 5)) local_elements.append(reportlabconfig.save_mpl_to_rl_image(fig, "somestate")) import pylab pylab.close(fig.fig) return local_elements
def to_report_lab(cls, calciumAlphaBetaBetaChannel, reportlabconfig, make_graphs): chl = calciumAlphaBetaBetaChannel localElements = [] localElements.append(Paragraph("Overview", reportlabconfig.styles['Heading3'])) # Summary: overviewTableData = [ ["permeability", chl.permeability], ["intracellular_concentration", chl.intracellular_concentration], ["extracellular_concentration", chl.extracellular_concentration], ["Equation EXPLAIN", chl.eqn], ["beta2threshold", chl.beta2threshold], ["Temperature ", chl.T], ["F", chl.F], ["R", chl.R], ["CaZ", chl.CaZ], ] localElements.append(Table(overviewTableData, style=reportlabconfig.listTableStyle)) #GHK Max Current Flow localElements.append(Paragraph("MaxCurrentFlow From GHK", reportlabconfig.styles['Heading3'])) fig = cls.PlotGHKMaxCurrentFlow(calciumAlphaBetaBetaChannel, figsize=(4, 4)) localElements.append(reportlabconfig.save_mpl_to_rl_image(fig, "ghk")) # Plot out the States: for state, params in calciumAlphaBetaBetaChannel.statevars.iteritems(): localElements.append(Paragraph("State: %s" % state, reportlabconfig.styles['Heading3'])) if make_graphs: fig = cls.plot_state_curve_summary(chl, state, figsize=(5, 5)) localElements.append(reportlabconfig.save_mpl_to_rl_image(fig, "somestate")) fig.close() #Equations: eqns = [ "beta2Threshold = %s" % calciumAlphaBetaBetaChannel.beta2threshold, "beta = beta1 if V less than beta2Threshold otherwise beta2", "alpha(V) = (A+BV)/(C+exp((V+D)/E))", "beta(V) = (A+BV)/(C+exp((V+D)/E))", ] for eqn in eqns: localElements.append(Paragraph(eqn, reportlabconfig.styles['Normal'])) # Alpha Beta ReportLabTools.build_alpha_beta_table(elements=localElements, reportlabconfig=reportlabconfig, title="Alpha", params=params[0]) ReportLabTools.build_alpha_beta_table(elements=localElements, reportlabconfig=reportlabconfig, title="Beta1", params=params[1]) ReportLabTools.build_alpha_beta_table(elements=localElements, reportlabconfig=reportlabconfig, title="Beta2", params=params[2]) return localElements
def to_report_lab(cls, alphabeta_beta_chl, reportlabconfig, make_graphs): from reportlab.platypus import Paragraph, Table local_elements = [] local_elements.append(Paragraph("Overview", reportlabconfig.styles['Heading3'])) # Summary: overview_table_data = [ ["Channel Type", "AlphaBetaBetaChl"], ["Max Conductance (gBar)", alphabeta_beta_chl.conductance], ["Reversal Potential", alphabeta_beta_chl.reversalpotential], ["Conductance Equation", "gBar * " + alphabeta_beta_chl.eqn], ] local_elements.append(Table(overview_table_data, style=reportlabconfig.listTableStyle)) # Plot out the States: for state, params in alphabeta_beta_chl.statevars.iteritems(): local_elements.append(Paragraph("State: %s" % state, reportlabconfig.styles['Heading3'])) if make_graphs: fig = Summarise_MM_AlphaBetaChannel.plot_state_curve_summary(alphabeta_beta_chl, state, figsize=(5, 5)) local_elements.append(reportlabconfig.save_mpl_to_rl_image(fig, "somestate")) local_elements.append(Paragraph("Equations", reportlabconfig.styles['Heading4'])) #Equations: eqns = [ "beta2Threshold = %s" % alphabeta_beta_chl.beta2threshold, "beta = beta1 if V less than beta2Threshold otherwise beta2", "alpha(V) = (A+BV)/(C+exp((V+D)/E))", "beta(V) = (A+BV)/(C+exp((V+D)/E))", ] for eqn in eqns: local_elements.append(Paragraph(eqn, reportlabconfig.styles['Normal'])) # Alpha Beta ReportLabTools.build_alpha_beta_table(elements=local_elements, reportlabconfig=reportlabconfig, title="Alpha", params=params[0]) ReportLabTools.build_alpha_beta_table(elements=local_elements, reportlabconfig=reportlabconfig, title="Beta1", params=params[1]) ReportLabTools.build_alpha_beta_table(elements=local_elements, reportlabconfig=reportlabconfig, title="Beta2", params=params[2]) return local_elements
def toReportLab(cls, alphaBetaBetaChl, reportlabconfig, make_graphs): from reportlab.platypus import Paragraph, Table localElements = [] localElements.append( Paragraph("Overview",reportlabconfig.styles['Heading3']) ) # Summary: overviewTableData = [ ["Channel Type", "AlphaBetaBetaChl"], ["Max Conductance (gBar)", alphaBetaBetaChl.conductance], ["Reversal Potential", alphaBetaBetaChl.reversalpotential], ["Conductance Equation", "gBar * " + alphaBetaBetaChl.eqn], ] localElements.append( Table(overviewTableData, style=reportlabconfig.listTableStyle) ) # Plot out the States: for state,params in alphaBetaBetaChl.statevars.iteritems(): localElements.append( Paragraph("State: %s"%state,reportlabconfig.styles['Heading3']) ) if make_graphs: fig = Summarise_MM_AlphaBetaChannel.PlotStateCurveSummary(alphaBetaBetaChl, state, figsize=(5,5)) localElements.append( reportlabconfig.saveMPLToRLImage(fig, "somestate") ) localElements.append( Paragraph("Equations",reportlabconfig.styles['Heading4']) ) #Equations: eqns = [ "beta2Threshold = %s"%alphaBetaBetaChl.beta2threshold, "beta = beta1 if V less than beta2Threshold otherwise beta2", "alpha(V) = (A+BV)/(C+exp( (V+D)/E) )", "beta(V) = (A+BV)/(C+exp( (V+D)/E) )", ] for eqn in eqns: localElements.append( Paragraph(eqn,reportlabconfig.styles['Normal']) ) # Alpha Beta ReportLabTools.buildAlphaBetaTable( elements=localElements, reportlabconfig=reportlabconfig, title="Alpha", params=params[0] ) ReportLabTools.buildAlphaBetaTable( elements=localElements, reportlabconfig=reportlabconfig, title="Beta1", params=params[1] ) ReportLabTools.buildAlphaBetaTable( elements=localElements, reportlabconfig=reportlabconfig, title="Beta2", params=params[2] ) return localElements
def to_report_lab(cls, calciumAlphaBetaBetaChannel, reportlabconfig, make_graphs): chl = calciumAlphaBetaBetaChannel localElements = [] localElements.append( Paragraph("Overview", reportlabconfig.styles['Heading3'])) # Summary: overviewTableData = [ ["permeability", chl.permeability], ["intracellular_concentration", chl.intracellular_concentration], ["extracellular_concentration", chl.extracellular_concentration], ["Equation EXPLAIN", chl.eqn], ["beta2threshold", chl.beta2threshold], ["Temperature ", chl.T], ["F", chl.F], ["R", chl.R], ["CaZ", chl.CaZ], ] localElements.append( Table(overviewTableData, style=reportlabconfig.listTableStyle)) #GHK Max Current Flow localElements.append( Paragraph("MaxCurrentFlow From GHK", reportlabconfig.styles['Heading3'])) fig = cls.PlotGHKMaxCurrentFlow(calciumAlphaBetaBetaChannel, figsize=(4, 4)) localElements.append(reportlabconfig.save_mpl_to_rl_image(fig, "ghk")) # Plot out the States: for state, params in calciumAlphaBetaBetaChannel.statevars.iteritems(): localElements.append( Paragraph("State: %s" % state, reportlabconfig.styles['Heading3'])) if make_graphs: fig = cls.plot_state_curve_summary(chl, state, figsize=(5, 5)) localElements.append( reportlabconfig.save_mpl_to_rl_image(fig, "somestate")) fig.close() #Equations: eqns = [ "beta2Threshold = %s" % calciumAlphaBetaBetaChannel.beta2threshold, "beta = beta1 if V less than beta2Threshold otherwise beta2", "alpha(V) = (A+BV)/(C+exp((V+D)/E))", "beta(V) = (A+BV)/(C+exp((V+D)/E))", ] for eqn in eqns: localElements.append( Paragraph(eqn, reportlabconfig.styles['Normal'])) # Alpha Beta ReportLabTools.build_alpha_beta_table( elements=localElements, reportlabconfig=reportlabconfig, title="Alpha", params=params[0]) ReportLabTools.build_alpha_beta_table( elements=localElements, reportlabconfig=reportlabconfig, title="Beta1", params=params[1]) ReportLabTools.build_alpha_beta_table( elements=localElements, reportlabconfig=reportlabconfig, title="Beta2", params=params[2]) return localElements