將兩張圖片排列生成html
參考：https://bbs.csdn.net/topics/20330939
// 橫向排列
<table>
<tr>
<td><img src="http://expert.csdn.net/images/csdn.gif"></td>
<td><img src="http://expert.csdn.net/images/csdn.gif"></td>
</tr>
</table>
// 縱向排列
<table>
<tr>
<td><img src="http://expert.csdn.net/images/csdn.gif"></td>
</tr>
<tr>
<td><img src="http://expert.csdn.net/images/csdn.gif"></td>
</tr>
</table>
生成表單存爲html
參考:https://www.cnblogs.com/jins-note/p/9520303.html
import pandas as pd
def convertToHtml(result,title):
#將數據轉換爲html的table
#result是list[list1,list2]這樣的結構
#title是list結構；和result一一對應。titleList[0]對應resultList[0]這樣的一條數據對應html表格中的一列
d = {}
index = 0
for t in title:
d[t]=result[index]
index = index+1
df = pd.DataFrame(d)
df = df[title]
h = df.to_html(index=False)
return h
if __name__ == '__main__':
result = [[u'2016-08-25',u'2016-08-26',u'2016-08-27'],[u'張三',u'李四',u'王二']]
title = [u'日期',u'姓名']
print(convertToHtml(result,title))
然後以上生成的h作爲以下的輸入
import numpy as np
import pandas as pd
HEADER = '''
<html>
<head>
<style>
.df tbody tr:last-child { background-color: #FF0000; }
</style>
</head>
<body>
'''
FOOTER = '''
</body>
</html>
'''
df = pd.DataFrame({'a': np.arange(10), 'b': np.random.randn(10)})
with open('test.html', 'w') as f:
f.write(HEADER)
f.write(df.to_html(classes='df'))
f.write(FOOTER)
參考：https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_html.html
完整代碼如下：
import numpy as np
import pandas as pd
HEADER = '''
<html>
<head>
<style>
.df tbody tr:last-child { background-color: #FF0000; }
</style>
</head>
<body>
'''
FOOTER = '''
</body>
</html>
def convertToHtml(result , title, html_save_path):
d = {}
index = 0
for t in title:
d[t] = result[index]
index = index + 1
df = pd.DataFrame(d)
df = df[title]
h = df.to_html(index = False)
with open(html_save_path, 'w') as f:
f.write(HEADER)
f.write(h)
f.write(FOOTER)
def convertToList(list_name, case_name):
title = []
title.append('frame_cnt')
title.append('gt_vel')
title.append('rs_vel')
title.append('diff_vel')
title.append('gt_acc')
title.append('rs_acc')
title.append('diff_acc')
vel_acc_txt = os.path.join(result_save_path, list_name, case_name, 'result/vel_acc.txt')
vel_acc = np.loadtxt(vel_acc_txt)
result = []
x0 = []
x1 = []
x2 = []
x3 = []
x4 = []
x5 = []
x6 = []
for i in range(vel_acc.shape[0]):
x0.append(i+1)
x1.append(vel_acc[i, 1])
x2.append(vel_acc[i, 2])
x3.append(abs(vel_acc[i, 1] - vel_acc[i, 2]))
x4.append(vel_acc[i, 3])
x5.append(vel_acc[i, 4])
x6.append(abs(vel_acc[i, 3] - vel_acc[i, 4]))
result.append(x0)
result.append(x1)
result.append(x2)
result.append(x3)
result.append(x4)
result.append(x5)
result.append(x6)
html_save_path = os.path.join(result_save_path, list_name, case_name, 'html/velocity_table.html')
convertToList(list_name, case_name) # 調用函數即可
'''
其餘參考文檔：
https://www.lizenghai.com/archives/40768.html
https://www.cnblogs.com/zenan/p/10319990.html
不錯：https://blog.csdn.net/Yellow_python/article/details/100546841