Jun-27-2018, 08:48 AM
Hi,
I have a code that plot an histogram for each iteration of a processus
but i want that export only the last histogram of the last iteration
please what can i modify in this code ?
Thank you very much
I have a code that plot an histogram for each iteration of a processus
but i want that export only the last histogram of the last iteration
please what can i modify in this code ?
Thank you very much
import seaborn as sns import matplotlib.pyplot as plt import numpy as np import pylab sns.set() importdata=open('Hmz_OT_MULC_Includes.dens','r+') data=importdata.readlines() importdata.close() tri=[] j=0 for i in range(len(data)): if 'iter' in data[i]: l=i nbre_iter=[] while l+1 < len(data) and 'iter' not in data [l+1]: l+=1 nbre_iter.append(data[l]) tri.append(nbre_iter) j+=1 tri_final=[] for i in range(len(tri)): extract_density=[] print('i=',i) for j in range(len(tri[0])): extract_density.append(tri[i][j][12 :]) tri_final.append(extract_density) convert_into_float=[] for i in range(len(tri_final)): convert=[] for j in range(len(tri_final[0])): convert.append(float(tri_final[i][j])) convert_into_float.append(convert) for i in range(len(convert_into_float)): nbre_elements=np.zeros(10) for j in range(len(convert_into_float[0])): if 0<= convert_into_float[i][j]< 0.1: nbre_elements[0]+=1 elif 0.1<= convert_into_float[i][j] <0.2: nbre_elements[1]+=1 elif 0.2<= convert_into_float[i][j] <0.3: nbre_elements[2]+=1 elif 0.3<= convert_into_float[i][j] <0.4: nbre_elements[3]+=1 elif 0.4<= convert_into_float[i][j] <0.5: nbre_elements[4]+=1 elif 0.5<= convert_into_float[i][j] <0.6: nbre_elements[5]+=1 elif 0.6<= convert_into_float[i][j] <0.7: nbre_elements[6]+=1 elif 0.7<= convert_into_float[i][j] <0.8: nbre_elements[7]+=1 elif 0.8<= convert_into_float[i][j] <0.9: nbre_elements[8]+=1 elif 0.9<= convert_into_float[i][j] <=1: nbre_elements[9]+=1 fig = plt.figure() x=[1,2,3,4,5,6,7,8,9,10] width = 1.3 BarName = ['0.0-0.1','0.1-0.2','0.2-0.3','0.3-0.4','0.4-0.5','0.5-0.6','0.6-0.7','0.7-0.8','0.8-0.9','0.9-1'] plt.bar(x, nbre_elements, width, color='b' ) nom_figure='Histogramme_ITER_N_'+str(i)+ '.png' plt.grid() plt.ylabel('Nombre d elements') plt.title('Nombre d elements en fonction de leur densite_ITER_N_'+str(i)) pylab.xticks(x, BarName, rotation=40) plt.savefig(nom_figure)