57bab830cc3daa5432105ec546fd0e87ab00fbdb,plantcv/plantcv/analyze_thermal_values.py,,analyze_thermal_values,#,13

Before Change

    avgtemp = np.average(masked_thermal)
    mediantemp = np.median(masked_thermal)

    prefix = label + "_"

    // Store data into outputs class
    outputs.add_observation(variable=prefix + "max_temp", trait="maximum temperature",
                            method="plantcv.plantcv.analyze_thermal_values", scale="degrees", datatype=float,
                            value=maxtemp, label="degrees")
    outputs.add_observation(variable=prefix + "min_temp", trait="minimum temperature",
                            method="plantcv.plantcv.analyze_thermal_values", scale="degrees", datatype=float,
                            value=mintemp, label="degrees")
    outputs.add_observation(variable=prefix + "mean_temp", trait="mean temperature",
                            method="plantcv.plantcv.analyze_thermal_values", scale="degrees", datatype=float,
                            value=avgtemp, label="degrees")
    outputs.add_observation(variable=prefix + "median_temp", trait="median temperature",
                            method="plantcv.plantcv.analyze_thermal_values", scale="degrees", datatype=float,
                            value=mediantemp, label="degrees")
    outputs.add_observation(variable=prefix + "thermal_frequencies", trait="thermal frequencies",
                            method="plantcv.plantcv.analyze_thermal_values", scale="frequency", datatype=list,
                            value=hist_percent, label=bin_labels)
    analysis_img = None

    if histplot is True:
        params.device += 1

        dataset = pd.DataFrame({"Temperature C": bin_labels,
                                "Proportion of pixels (%)": hist_percent})
        fig_hist = (ggplot(data=dataset,
                           mapping=aes(x="Temperature C",
                                       y="Proportion of pixels (%)"))
                    + geom_line(color="green"))

        analysis_img = fig_hist
        if params.debug == "print":
            fig_hist.save(os.path.join(params.debug_outdir, str(params.device) + prefix + "_therm_histogram.png"),
                          verbose=False)
        elif params.debug == "plot":
            print(fig_hist)

After Change

        analysis_img = fig_hist
        if params.debug == "print":
            fig_hist.save(os.path.join(params.debug_outdir, str(params.device) + "_therm_histogram.png"), verbose=False)
        elif params.debug == "plot":
            print(fig_hist)

Instances