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plot.py
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# -*- coding:utf-8 -*-
'''plot some pic using the data i scrapyed ~
wdwdwd
'''
import MySQLdb
from ConfigParser import ConfigParser
import matplotlib.pyplot as plt
import re
from pylab import mpl
import numpy as np
class plotFactory(object):
def __init__(self):
cf = ConfigParser()
cf.read("config.ini")
host = cf.get("db", "host")
port = int(cf.get("db", "port"))
user = cf.get("db", "user")
passwd = cf.get("db", "passwd")
db_name = cf.get("db", "db")
charset = cf.get("db", "charset")
use_unicode = cf.get("db", "use_unicode")
self.db = MySQLdb.connect(host=host, port=port, user=user,
passwd=passwd, db=db_name,
charset=charset, use_unicode=use_unicode)
self.cursor = self.db.cursor()
mpl.rcParams['font.sans-serif'] = ['SimHei']
def run(self):
self.getData()
self.plotSexRatio()
self.plotEffZhuRatio()
def getData(self):
sql = "SELECT SEX,CONTENT_TOTAL, CONTENT_ZHUANGFA FROM MY_WEIBO_DATABASE.NAME \
WHERE CONTENT_VISIT = 1;"
self.cursor.execute(sql)
results = self.cursor.fetchall()
self.data = [[x, int(y), int(z)] for (x, y, z) in results]
def plotSexRatio(self):
sexlist = list(map(list,zip(*self.data)))[0]
pattern = u'男'
qwe = re.compile(pattern)
self.men_label = [1 if qwe.match(x) != None else 0 for x in sexlist]
men = sum(self.men_label)
women = len(sexlist) - men
labels = u'男生人数:'+str(men),u'女生人数:'+str(women)
sizes = [men,women]
colors = ['yellowgreen','lightskyblue']
explode = (0,0.1)
plt.pie(sizes, explode=explode, labels=labels, colors=colors \
,autopct='%1.1f%%',shadow=True,startangle=90)
plt.axis('equal')
plt.title(u'性别与用户数量')
#plt.show()
plt.savefig('pic/mwRatio.png')
plt.close()
def plotEffZhuRatio(self):
self.total_men = [self.data[num][1] for (num,x) in enumerate(self.men_label) if x ==1]
self.zhuangfa_men = [self.data[num][2] for (num,x) in enumerate(self.men_label) if x==1]
self.total_wo = [self.data[num][1] for (num,x) in enumerate(self.men_label) if x==0]
self.zhuangfa_wo = [self.data[num][2] for (num,x) in enumerate(self.men_label) if x==0]
self.plotTotal()
self.plotZhuangfa()
def plotTotal(self):
## begin to plot
num_bins = 30
M,m_bins = np.histogram(self.total_men, bins=num_bins)
W,w_bins = np.histogram(self.total_wo,bins=num_bins)
fig = plt.figure(figsize=(8,6),dpi=72, facecolor="white")
axes = plt.subplot(111,axisbelow=True)
plt.bar(m_bins[0:-1],+M,width=max(self.total_men)/num_bins,facecolor='#9999ff',edgecolor='white')
for i,x in enumerate(m_bins[0:-1]):
x += max(self.total_men)/num_bins/2
y = M[i] + 0.3
plt.text(x,y,M[i], color='#9999ff',size=9,\
horizontalalignment='center',verticalalignment='bottom')
plt.bar(w_bins[0:-1],-W,width=max(self.total_wo)/num_bins,facecolor='#ff9999',edgecolor='white')
for i,x in enumerate(w_bins[0:-1]):
x += max(self.total_wo)/num_bins/2
y = -W[i] - 3
plt.text(x,y,W[i], color='#9999ff',size=9,\
horizontalalignment='center',verticalalignment='bottom')
axes.set_xlim([0,1500])
#axes.set_xticks([])
axes.set_yticks([+30,-30])
axes.set_yticklabels(['MAN','WOMAN'])
labels = axes.get_yticklabels()
labels[0].set_rotation(90)
labels[0].set_color('#9999ff')
labels[0].set_fontsize(25)
labels[1].set_rotation(90)
labels[1].set_color('#ff9999')
labels[1].set_fontsize(25)
axes.spines['top'].set_color('none')
axes.spines['left'].set_color('none')
axes.spines['right'].set_color('none')
axes.spines['bottom'].set_color('none')
axes.yaxis.set_ticks_position('left')
plt.text(1500,60,u"安徽医科大学",color='black',size=36, \
horizontalalignment='right',verticalalignment='top')
plt.text(1500,40 ,u'性别与微博数量的比较',color='.75',size=12,\
ha='right',va='top')
plt.savefig('pic/sex2totalcontent.png')
plt.close()
def plotZhuangfa(self):
## begin to plot
num_bins = 50
M,m_bins = np.histogram(self.zhuangfa_men, bins=num_bins)
W,w_bins = np.histogram(self.zhuangfa_wo,bins=num_bins)
fig = plt.figure(figsize=(8,6),dpi=72, facecolor="white")
axes = plt.subplot(111,axisbelow=True)
plt.bar(m_bins[0:-1],+M,width=max(self.zhuangfa_men)/num_bins,facecolor='#9999ff',edgecolor='white')
for i,x in enumerate(m_bins[0:-1]):
x += max(self.zhuangfa_men)/num_bins/2
y = M[i] + 0.3
plt.text(x,y,M[i], color='#9999ff',size=9,\
horizontalalignment='center',verticalalignment='bottom')
plt.bar(w_bins[0:-1],-W,width=max(self.zhuangfa_wo)/num_bins,facecolor='#ff9999',edgecolor='white')
for i,x in enumerate(w_bins[0:-1]):
x += max(self.zhuangfa_wo)/num_bins/2
y = -W[i] - 3
plt.text(x,y,W[i], color='#9999ff',size=9,\
horizontalalignment='center',verticalalignment='bottom')
#axes.set_xlim([0,1200])
#axes.set_xticks([])
axes.set_yticks([+30,-30])
axes.set_yticklabels(['MAN','WOMAN'])
labels = axes.get_yticklabels()
labels[0].set_rotation(90)
labels[0].set_color('#9999ff')
labels[0].set_fontsize(25)
labels[1].set_rotation(90)
labels[1].set_color('#ff9999')
labels[1].set_fontsize(25)
axes.spines['top'].set_color('none')
axes.spines['left'].set_color('none')
axes.spines['right'].set_color('none')
axes.spines['bottom'].set_color('none')
axes.yaxis.set_ticks_position('left')
plt.text(1000,60,u"安徽医科大学",color='black',size=36, \
horizontalalignment='right',verticalalignment='top')
plt.text(1000,40 ,u'性别与转发微博数量的比较',color='.75',size=12,\
ha='right',va='top')
plt.savefig('pic/sex2zhuangfa.png')
plt.close()
def main():
app = plotFactory()
app.run()
if __name__ == '__main__':
main()