Python data analysis of the double-color ball statistics of the two red and blue ball which combination of high proportion of methods

#!/usr/bin/python
# -*- coding:UTF-8 -*-
import pandas as pd
import numpy as np
import  as plt
import operator
#Import data
df = pd.read_table('',header=None,sep=',')
tdate = sorted([:,0])
# print tdate
# Red balls in columns 1 and 2
h1 = [:,1:2].values
# print h1
# Red balls in columns 2 and 3
h2 = [:,2:3].values
# Red balls in columns 3 and 4
h3 = [:,3:4].values
# Red balls in columns 4 and 5
h4 = [:,4:5].values
# Red balls in columns 5 and 6
h5 = [:,5:6].values
#Blueball.
b1 = [:,7:7].values
# print b1
#1 and 3 red balls
h6 = [:,1:3:2].values
h7 = [:,1:4:3].values
h8 = [:,1:5:4].values
h9 = [:,1:6:5].values
h10 = [:,2:4:2].values
h11 = [:,2:5:3].values
h12 = [:,2:6:4].values
h13 = [:,3:5:2].values
h14 = [:,3:6:3].values
# Red balls in columns 4 and 6
h15 = [:,4:6:2].values
# Add blue balls to each red ball group (2 columns of data become 3 columns of data), then merge all the data by columns.
data2 = (h1, b1, axis=1)
for i in [h2,h3,h4,h5,h6,h7,h8,h9,h10,h11,h12,h13,h14,h15]:
  data1 = (i, b1, axis=1)
  data2 = (data2, data1, axis=0)
print data2
data1 = (data2)
# Write to file
data1.to_csv('',index=None,header=None)
# Read the files, count them, and sort them in descending order.
f = open("")
count_dict = {}
for line in ():
  line = ()
  count = count_dict.setdefault(line, 0)
  count += 1
  count_dict[line] = count
sorted_count_dict = sorted(count_dict.iteritems(), key=(1), reverse=True)
# for item in sorted_count_dict:
#   print "%s,%d" % (item[0], item[1])
#Reset the index of the DataFrame
fenzu = (sorted_count_dict).set_index([0])
print fenzu
x = list([:19])
y = list([:19])
print x
print y
# Replace index with a numeric value for ease of use in graphing.
s = (range(1,len(x)+1), index=x)
(figsize=(12,8),dpi=80)
(loc='best')
(s,y,alpha=.5, color='r',width=0.8)
('The two red and one blue ball number')
('two red and one blue number')
('times')
# Show the content of the original index
(s,x, rotation=30,size=10,ha='left')
()