本文整理汇总了Python中Parsing.parse方法的典型用法代码示例。如果您正苦于以下问题：Python Parsing.parse方法的具体用法？Python Parsing.parse怎么用？Python Parsing.parse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Parsing的用法示例。
在下文中一共展示了Parsing.parse方法的2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: print
# 需要导入模块: import Parsing [as 别名]
# 或者: from Parsing import parse [as 别名]
import FileNameReading, Parsing, Structure, Functions, Clean
import matplotlib.pyplot as plt
import datetime
import numpy as np
# dictionary that contains all the filenames
filenames = FileNameReading.get_file_names()
all_sensors = []
for i in filenames.keys():
current_sensor = []
data = Parsing.parse(i)
print("Current file being read is " + i)
data = Clean.remove_empty(data)
for row in data:
for k, v in row.items():
if k == "Timestamp":
line = row[k].split(' ')
second_value = line[1].split('A') or line[1].split('P')
row[k] = ((line[0]), (second_value[0]))
# row[k] = (v, str(v))
current_sensor.append(row)
# datetime.datetime.strptime()
all_sensors.append(current_sensor)
# print(all_sensors)
x = []示例2: print
# 需要导入模块: import Parsing [as 别名]
# 或者: from Parsing import parse [as 别名]
import numpy as np
import Parsing
import matplotlib.pyplot as plt
from scipy.spatial import Voronoi, voronoi_plot_2d, Delaunay
from scipy.spatial import KDTree, tsearch
data = Parsing.parse("individual_sensors_data.csv")
# print(data)
long = []
lat = []
cur = []
for y in data:
for k, v in y.items():
if v == "I35 N":
cur.append(y)
for x in cur:
for k, v in x.items():
if k == "Longitude":
long.append(float(v))
elif k == "Latitude":
lat.append(float(v))
# print(lat)
# print(long)