Added a function for plotting timeseries of size distribution data.

General/distribution.py

-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Created on Wed May 31 15:59:04 2023
-
-@author: alex
-"""
-
-import numpy as np
-
-
-def lognormal_func(dp, mu, sigma, tot):
-    pre_exp_factor = tot / (sigma * dp * np.sqrt(2 * np.pi))
-    exp_factor = np.exp(- (np.log(dp) - mu)**2 / (2 * sigma**2))
-    return pre_exp_factor * exp_factor

Plotting/plotting_functions.py

@@ -127,3 +127,9 @@ def annotate_heatmap(im, data=None, valfmt="{x:.2f}",
             texts.append(text)
 
     return texts
+
+
+def sd_timeseries(min_exp, max_exp):
+    (colormap, min_exp, max_exp) = omccolors.generate_omc(data_min,
+                                                        data_max)
+    return colormap

Statistics/uncertainty_propagation.py

@@ -179,5 +179,5 @@ def add_asym(x0s, siglos, sighis, order=2, nmax=100, tol=1e-6, ohwell=False):
               siglo = sig - alpha                # >Final values               |
               sighi = sig + alpha  # /____________________________|
 
-    return np.array([x0, siglo, sighi])
+    return np.array([x0, siglo, sighi]) / len(x0)
 # ------------------------------------------------------------------------------