0004_2019/2/24_pycharm配置、Typora配置、python绘图

一、pycharm配置

1.添加作者信息

Settings->Editor->File and Code Templates ->Python Script 
# Time : ${DATE} ${TIME}
# Work: 

二、Typora配置

1.主题设置github，表格可视化效果更强

2.窗口样式可置为一体化，效果与Microsoft类似

三、python绘图

# Time : 2019/2/24 22:19
# Work: 将0-1分类的正确答案和人工标注后，由SVM生成的result进行对比看看正确率是否是76%

import numpy as np
from numpy import array
from numpy.random import normal
from matplotlib import pyplot
import matplotlib.pyplot as plt
import pandas as pd
accuracylist = []
axes_x = range(11)

# answer
loadcorrectAns = pd.read_csv('label_turn_-1.txt', sep='\s+')
loadcorrectAns.shape
correctAns = loadcorrectAns['answer']

# result 10 turns
for i in range(11):
    name_before = 'label_turn_'
    name_after = '.txt'
    number = str(i)
    loadres = pd.read_csv(name_before+number+name_after, sep='\s+')
    loadres.shape
    res = loadres['result']
    Accuracy_rate = 0
    for j in range(10604):
        if res[j] == correctAns[j]:
            Accuracy_rate = Accuracy_rate + 1.0
    Accuracy_rate = Accuracy_rate / 10604
    accuracylist.append(Accuracy_rate)

plt.plot(axes_x, accuracylist)
plt.xlabel('Turns')
plt.ylabel('Accuracy')
plt.title('Accuracy / turns')
plt.show()