我有一个充满日历信息的csv文件(calendar-data.csv)我需要把它带到网页上(或为它生成html)
我想要的是让日期在表格中(在“开始”列中)运行,然后让员工姓名在左侧运行。在每个日期框中,应填写相应的任务
所以它看起来像:
03/15/2019 03/16/2019
employee1 task task
task
employee2 task
task
这段代码给了我html但它在网页上的所有一个blob:
import csv
import sys
if len(sys.argv) < 2:
print "Usage: ./csv-html.py <your CSV file> <your HTML File.html>"
print
print
exit(0)
# Open the CSV file for reading
reader = csv.reader(open(sys.argv[1]))
# Create the HTML file
f_html = open(sys.argv[2],"w");
f_html.write('<title><Work Flow></title>')
for row in reader: # Read a single row from the CSV file
f_html.write('<tr>');# Create a new row in the table
for column in row: # For each column..
f_html.write('<td>' + column + '</td>');
f_html.write('</tr>')
f_html.write('</table>')
这可能在python中还是我应该在其他地方看?
谢谢
现在html out put看起来像这样:
employee1 03/15/2019 tasks
employee1 03/15/2019 tasks
employee2 03/15/2019 tasks
employee2 03/16/2019 tasks
但我希望它看起来像这样:
03/15/2019 03/16/2019 03/17/2019
employee1 tasks tasks
employee2 task tasks
employee3 tasks
使用pivot来移动日期:
data = data.pivot(index='Employee', columns = 'Start', values='Task').reset_index()
您可以使用pandas.read_csv将CSV文件读入pandas DataFrame,然后使用pandas.to_html转换为html
对于CSV文件“input.csv”
employee_name, 03/15/2019,03/16/2019
employee1, task1,task2
employee2, task3, task4
我们可以将CSV文件作为DataFrame读取
import pandas as pd
df = pd.read_csv("input.csv", index_col="employee_name")
df在哪里
03/15/2019 03/16/2019
employee_name
employee1 task1 task2
employee2 task3 task4
然后我们可以将DataFrame转换为HTML表格
df.to_html("input.html")
并且HTML文件“input.html”的输出将是
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>03/15/2019</th>
<th>03/16/2019</th>
</tr>
<tr>
<th>employee_name</th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<th>employee1</th>
<td>task1</td>
<td>task2</td>
</tr>
<tr>
<th>employee2</th>
<td>task3</td>
<td>task4</td>
</tr>
</tbody>
</table>