bug correction in plots

- histogram bin size return was incorrect
- now recalculates the number of bins to approximate the desired binsize

grain_size_tools/GrainSizeTools_script.py

@@ -219,6 +219,7 @@ def summarize(data, avg=('amean', 'gmean', 'median', 'mode'), ci_level=0.95,
     print('============================================================================')
     print('DISTRIBUTION FEATURES')
     print('============================================================================')
+    print('Sample size (n) = {}' . format(len(data)))
     print('Standard deviation = {:0.2f} (1-sigma)' .format(std))
     if 'median' in avg:
         print('Interquartile range (IQR) = {:0.2f}' .format(iqr))

grain_size_tools/plot.py

@@ -100,6 +100,8 @@ def distribution(data,
     fig, ax = plt.subplots(**fig_kw)
 
     if 'hist' in plot:
+        if isinstance(binsize, (int, float)):
+            binsize = int(np.ceil((data.max() - data.min()) / binsize))
         y_values, bins, __ = ax.hist(data,
                                      bins=binsize,
                                      range=(data.min(), data.max()),
@@ -109,7 +111,7 @@ def distribution(data,
                                      alpha=0.7)
         print('=======================================')
         print('Number of classes = ', len(bins) - 1)
-        print('binsize = ', round(bins[1], 2))
+        print('binsize = ', round(bins[1] - bins[0], 2))
         print('=======================================')
 
     if 'kde' in plot: