本文整理汇总了Python中window.Window.startTime方法的典型用法代码示例。如果您正苦于以下问题：Python Window.startTime方法的具体用法？Python Window.startTime怎么用？Python Window.startTime使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类window.Window的用法示例。
在下文中一共展示了Window.startTime方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from window import Window [as 别名]
# 或者: from window.Window import startTime [as 别名]
def main(argv):
# Define input, output, and archive directory names.
turbine_dir_name = 'reshaped_turbine'
weather_dir_name = 'raw_weather'
archive_dir_name = 'archived'
output_dir_name = 'output'
# Process raw turbine files into the eshape format.
# [datetime, sensor id, value]
reshape()
# Define current working directory.
current_dir = os.path.dirname(os.path.abspath(__file__))
# Define input, output, and archive directories.
turbine_dir = os.path.join(current_dir, turbine_dir_name)
weather_dir = os.path.join(current_dir, weather_dir_name)
turbine_archive_dir = os.path.join(turbine_dir, archive_dir_name)
weather_archive_dir = os.path.join(weather_dir, archive_dir_name)
output_dir = os.path.join(current_dir, output_dir_name)
# Process all of the turbine data.
# Scan for all CSV files within the turbine data folder.
for item in os.listdir(turbine_dir):
if item.split('.')[-1].lower() == 'csv':
windows = [Window('t14'), Window('t15'), Window('t16'), \
Window('t17'), Window('t18')]
# Open input and output files.
with open(os.path.join(turbine_dir, item)) as input_file:
input_reader = csv.reader(input_file)
with open(os.path.join(output_dir, item), 'wb') as output_file:
output_writer = csv.writer(output_file)
print 'Processing ' + item
# Write header into the output file.
output_writer.writerow(input_reader.next())
for row in input_reader:
for window in windows:
if row[1] == window.who_am_i():
# Add row if the buffer is empty.
if window.size() == 0:
window.append(row)
continue
if compare_minute(window.startTime(), row[0]) < 9:
window.append(row)
continue
if compare_minute(window.startTime(), row[0]) == 9:
window.append(row)
if window.size() >= 7:
output_writer.writerow([window.startTime(), window.who_am_i(), window.average()])
if compare_minute(window.startTime(), row[0]) > 9:
if window.size() >= 7:
output_writer.writerow([window.startTime(), window.who_am_i(), window.average()])
window.empty()
window.append(row)
continue
window.empty()
shutil.move(os.path.join(turbine_dir, item), os.path.join(turbine_archive_dir, item))
# Process all of the weather data.
# Scan for all CSV files within the weather data folder.
for item in os.listdir(weather_dir):
if item.split('.')[-1].lower() == 'csv':
window = Window('speed_avg')
# Open input and output files.
with open(os.path.join(weather_dir, item)) as input_file:
input_reader = csv.reader(input_file)
with open(os.path.join(output_dir, item), 'wb') as output_file:
output_writer = csv.writer(output_file)
print 'Processing ' + item
input_reader.next()
# Write header into the output file.
output_writer.writerow(['datetime', 'value'])
for row in input_reader:
# Add row if the buffer is empty.
if window.size() == 0:
window.append([row[0], window.who_am_i(), row[2]])
continue
if compare_minute(window.startTime(), row[0]) < 9:
window.append([row[0], window.who_am_i(), row[2]])
continue
if compare_minute(window.startTime(), row[0]) == 9:
window.append([row[0], window.who_am_i(), row[2]])
if window.size() >= 7:
output_writer.writerow([window.startTime(), window.average()])
if compare_minute(window.startTime(), row[0]) > 9:
if window.size() >= 7:
output_writer.writerow([window.startTime(), window.average()])
window.empty()
window.append([row[0], window.who_am_i(), row[2]])
continue
window.empty()
shutil.move(os.path.join(weather_dir, item), os.path.join(weather_archive_dir, item))
return 1