file_1 = open("datadict.txt")
from collections import Counter

import matplotlib.pyplot as plt

ang_list = []
cam_list = []
est_list = []
global_dic = {}

for line in file_1:
    s = eval(line[line.index("{"):])

    key_ang = s["calls"]["Angola"]
    ang_list.append(key_ang)
    ang_final_count = Counter(ang_list)

    key_cam = s["calls"]["Cameroon"]
    cam_list.append(key_cam)
    cam_final_count = Counter(cam_list)

    key_est = s["calls"]["East"]
    est_list.append(key_est)
    est_final_count = Counter(est_list)

global_dic = {"Angola": ang_final_count, "Cameroon": cam_final_count, "East": est_final_count}

mpl_fig1 = plt.figure()
ax = mpl_fig1.add_subplot(111)
plt.bar(range(len(global_dic["Angola"])), global_dic["Angola"].values(), align="center")
plt.xticks(range(len(global_dic["Angola"]), global_dic["Angola"].keys())
ax.set_ylabel('nr')
ax.set_xlabel('snp_distribution')
lt.savefig("teste")
print (global_dic)