def plotth():
data = db.read_db()
xdataTemp = []
ydataTemp = []
xdataHumidity = []
ydataHumidity = []
for i in range(0, len(data['temperature'])):
xdataTemp.append(data['temperature'][i]['_id'])
ydataTemp.append(data['temperature'][i]['value'])
for i in range(0, len(data['humidity'])):
xdataHumidity.append(data['humidity'][i]['_id'])
ydataHumidity.append(data['humidity'][i]['value'])
# Filter out (remove) all 'None' values from the dictionary and replace by previous value
# Solution: https://stackoverflow.com/questions/35868549/fill-na-in-a-list-with-the-last-know-value-in-python
for i, j in enumerate(ydataTemp):
if j is None:
if i == 0: ydataTemp = next(item for item in ydataTemp if item is not None)
else: ydataTemp[i] = ydataTemp[i-1]
for i, j in enumerate(ydataHumidity):
if j is None:
if i == 0: ydataHumidity = next(item for item in ydataHumidity if item is not None)
else: ydataHumidity[i] = ydataHumidity[i - 1]
xdataTemp = [datetime.strptime(date, "%m/%d/%Y;%H:%M:%S") for date in xdataTemp]
xdataHumidity = [datetime.strptime(date, "%m/%d/%Y;%H:%M:%S") for date in xdataHumidity]
plot = figure(x_axis_label='date', x_axis_type='datetime', width=600, height=600)
plot.line(xdataTemp, ydataTemp, line_width=2, line_color='green')
plot.line(xdataHumidity, ydataHumidity, line_width=2, line_color='blue')
# return Markup(file_html(plot, CDN, "data"))
return json.dumps(json_item(plot, "thplot"))
def connect_db(self):
# 初始化按钮
for i, starter in enumerate(read_db()):
button = self.gridLayout.itemAt(i).widget()
button.fname = starter.fname
button.name = starter.name
button.state = starter.state
button.setText(button.name)
def plotlx():
data = db.read_db()
xdata = []
ydata = []
for i in range(0, len(data['light'])):
xdata.append(data['light'][i]['_id'])
ydata.append(data['light'][i]['value'])
plot = figure(x_axis_type='datetime', width=600, height=600)
xdata = [datetime.strptime(date, "%m/%d/%Y;%H:%M:%S") for date in xdata]
ydata = list(map(float, ydata))
plot.line(xdata, ydata, line_width=2)
return json.dumps(json_item(plot, "lxplot"))
def plotir():
data = db.read_db()
xdata = []
ydata = []
for i in range(0, len(data['infrared'])):
xdata.append(data['infrared'][i]['_id'])
ydata.append(data['infrared'][i]['value'])
plot = figure(x_axis_type='datetime', y_range=Range1d(bounds=(0, 1)), width=600, height=600)
plot.step(xdata, ydata, line_width=2, mode="center")
xdata = [datetime.strptime(date, "%m/%d/%Y;%H:%M:%S") for date in xdata]
ydata = list(map(float, ydata))
plot.line(xdata, ydata, line_width=2)
# return Markup(file_html(plot, CDN, "data"))
return json.dumps(json_item(plot, "irplot"))