python画柱状图

#coding:utf-8
__author__ = 'similarface'

from collections import defaultdict
PMRAdata=defaultdict(list)

for line in open('/Users/similarface/Documents/PMRA_Marker_List_Detailed2.txt','r'):
    if not line.startswith("affy_snp_id"):
        lines=line.strip().split('	')
        PMRAdata[lines[1]].append(lines[2])

wegeneRawData=defaultdict(list)
for line in open('/Users/similarface/Documents/wegeneRawData.txt','r'):
    if not line.startswith("#"):
        lines=line.strip().split('	')
        try:
            wegeneRawData[lines[1]].append(lines[2])
        except Exception,e:
            pass
print(wegeneRawData.keys())

v23andmeData=defaultdict(list)
for line in open('/Users/similarface/Documents/genome_wang_mian_Full_20151021231213.txt','r'):
    if not line.startswith("#"):
        lines=line.strip().split('	')
        v23andmeData[lines[1]].append(lines[2])



PMRAdrawdata={}
for k,v in PMRAdata.items():
    PMRAdrawdata[k]=len(v)

wegeneRawdrawdata={}
for k,v in wegeneRawData.items():
    wegeneRawdrawdata[k]=len(v)

v23andmePMRAdrawdata={}
for k,v in v23andmeData.items():
    v23andmePMRAdrawdata[k]=len(v)

import numpy as np,array
from matplotlib import pyplot as plt
plt.figure(figsize=(9,6))
X =  [str(i) for i in np.arange(22)+1]+['X','Y','MT']
#X=np.arange(22)+1

#X是1,2,3,4,5,6,7,8,柱的个数
# numpy.random.uniform(low=0.0, high=1.0, size=None), normal
#uniform均匀分布的随机数，normal是正态分布的随机数，0.5-1均匀分布的数，一共有n个
Y=[]
for i in X:
   Y.append(PMRAdrawdata[i])
Y1=[]
for i in X:
   Y1.append(wegeneRawdrawdata[i])
Y2=[]
for i in X:
   Y2.append(v23andmePMRAdrawdata[i])
Y=np.array(Y)
Y1=np.array(Y1)
Y2=np.array(Y2)
plt.bar(np.arange(len(X)),Y,width=0.3,facecolor = 'green',edgecolor = 'white')
plt.bar(np.arange(len(X))+0.3,Y1,width = 0.3,facecolor = 'blue',edgecolor = 'white')
plt.bar(np.arange(len(X))+0.6,Y2,width = 0.3,facecolor = 'red',edgecolor = 'white')
plt.xticks(np.arange(len(X)),X)
plt.legend(('PMRA','wegene','23andme'))
plt.xlabel("chr")
plt.ylabel("Number of Markers")
plt.title(u"PMRA wegene 23andme 各染色体分布")
plt.show()

#coding:utf-8
__author__ = 'similarface'
import numpy as np,array
from matplotlib import pyplot as plt
plt.figure(figsize=(9,6))
X =  [str(i) for i in np.arange(22)+1]+['X','Y','MT']
Y=np.array([196416,289003,70031,411185,79632,394154])
plt.bar(np.arange(6)+0.1,Y,width=0.3,facecolor = 'green',edgecolor = 'white')
plt.xticks(np.arange(6),['P_0_0.05','P_0.05_1','w_0_0.05','w_0.05_1','23me_0_0.05','23me_0.05_1'])
k=[902676.0,902676.0,596768.0,596768.0,610565.0,610565.0]
i=0
X=np.arange(6)
for x,y in zip(X,Y):
    plt.text(x+0.25, y+0.1, '%.2f' % (y*100/k[i])+"%", ha='center', va= 'bottom')
    i=i+1
plt.xlabel(u"频率标志")
plt.ylabel("Number of Markers")
plt.title(u"PMRA wegene 23andme 频率分布")
plt.show()