#! /usr/bin/env python2.7 import matplotlib matplotlib.use('Agg') import denudationRateAnalysis as dra from matplotlib import pyplot as plt import numpy as np portenga_data = dra.read_csv('portenga_filtered_steepness.csv') dr = [r[3] for r in portenga_data] dr_sig = [r[4] for r in portenga_data] ks = dict() r2 = dict() ks['0.4'] = [ np.float64(r[10].replace('[', '').replace(']', '')) for r in portenga_data ] r2['0.4'] = [ np.float64(r[11].replace('[', '').replace(']', '')) for r in portenga_data ] ks['0.5'] = [ np.float64(r[12].replace('[', '').replace(']', '')) for r in portenga_data ] r2['0.5'] = [ np.float64(r[13].replace('[', '').replace(']', '')) for r in portenga_data ] ks['0.6'] = [
#! /usr/bin/env python2.6 import denudationRateAnalysis as dra import numpy as np data = dra.read_csv('portengadata.csv') del (data[0]) ksn_vec, area_vec = dra.calculate_ksn_for_data(data, 1000000, 0.4) np.savez_compressed('ksn_area_data_0_4.npz', ksn_vec=ksn_vec, area_vec=area_vec)