3c8df2fc218bd42544ac0eebb8dbfc6724c27a14,plantcv/plantcv/analyze_nir_intensity.py,,analyze_nir_intensity,#Any#Any#Any#Any#,15

Before Change

    if histplot is True:
        hist_x = hist_percent
        bin_labels = np.arange(0, bins)
        dataset = pd.DataFrame({"Grayscale pixel intensity": bin_labels,
                                "Proportion of pixels (%)": hist_x})
        fig_hist = (ggplot(data=dataset,
                           mapping=aes(x="Grayscale pixel intensity",

After Change

    // Calculate histogram
    hist_nir = [float(l[0]) for l in cv2.calcHist([gray_img], [0], mask, [bins], [0, maxval])]
    // Create list of bin labels
    bin_width = maxval / float(bins)
    b = 0
    bin_labels = [float(b)]
    for i in range(bins - 1):
        b += bin_width

Instances