def generate__two_traces(ConfigGile):
with open(ConfigGile) as config_file:
plotly_user_config = json.load(config_file)
username = plotly_user_config['plotly_username']
api_key = plotly_user_config['plotly_api_key']
stream_tokenA = plotly_user_config['plotly_streaming_tokens'][0]
stream_tokenB = plotly_user_config['plotly_streaming_tokens'][1]
data = [{
'x': [],
'y': [],
"name": "Ambient Temp",
'type': 'scatter',
'mode': 'lines+markers',
'line': {
'color': 'rgba(106, 45, 172, 1)'
},
'stream': {
'token': stream_tokenA,
'maxpoints': 60
}
}, {
'x': [],
'y': [],
"name": "Water Temp",
'type': 'scatter',
'mode': 'lines+markers',
'line': {
'color': 'rgba(215, 40, 44, 1)'
},
'stream': {
'token': stream_tokenB,
'maxpoints': 60
}
}]
p = plotly.plotly(username, api_key)
p.plot(data,
fileopt='overwrite',
layout={
'autosize': True,
'showlegend': True,
'yaxis': {
'range': [0, 40],
'title': 'Temp(C)'
},
'xaxis': {
'title': 'Time'
}
})
s0 = plotly.stream(stream_tokenA)
s1 = plotly.stream(stream_tokenB)
return s0, s1
def generate__two_traces(ConfigGile):
with open(ConfigGile) as config_file:
plotly_user_config = json.load(config_file)
username = plotly_user_config['plotly_username']
api_key = plotly_user_config['plotly_api_key']
stream_tokenA = plotly_user_config['plotly_streaming_tokens'][0]
stream_tokenB = plotly_user_config['plotly_streaming_tokens'][1]
data = [{'x': [], 'y': [],"name":"Ambient Temp", 'type': 'scatter', 'mode': 'lines+markers', 'line': {'color': 'rgba(106, 45, 172, 1)'},
'stream': {'token': stream_tokenA, 'maxpoints': 60}},
{'x': [], 'y': [],"name":"Water Temp", 'type': 'scatter', 'mode': 'lines+markers', 'line': {'color': 'rgba(215, 40, 44, 1)'},
'stream': {'token': stream_tokenB, 'maxpoints': 60}}]
p = plotly.plotly(username, api_key)
p.plot(data, fileopt='overwrite',layout = {'autosize': True, 'showlegend':True,'yaxis': {'range': [0,40],'title':'Temp(C)'},'xaxis': {'title':'Time'}})
s0 = plotly.stream(stream_tokenA)
s1 = plotly.stream(stream_tokenB)
return s0,s1
def __init__(self, stream_tokens):
""" Store the stream tokens in an object
so that the message handler can access them
"""
self.streams = {}
for token in stream_tokens:
self.streams[token] = plotly.stream(token)
def streamdata():
s0 = plotly.stream(stream_tokens[0])
s1 = plotly.stream(stream_tokens[1])
s2 = plotly.stream(stream_tokens[2])
while True:
moment, vin, vstor, batok, lux = logfunc(
os.path.join(logfolder, filename))
s0.write({'x': moment, 'y': vin})
s1.write({'x': moment, 'y': vstor})
s2.write({'x': moment, 'y': lux})
time.sleep(0.5)
s0.close()
s1.close()
s2.close()
def __init__(self, stream_tokens):
''' Store the stream tokens in an object
so that the message handler can access them
'''
self.streams = {}
self.data = {}
self.last_write = {}
for token in stream_tokens:
self.streams[token] = plotly.stream(token)
self.data[token] = [] # {'avg': 0, 'max': 0, 'min': 0, 'n': 0}
self.last_write[token] = datetime.datetime.now()
def creatStreamingGraph(fileName, ConfigGile,chanID):
with open(ConfigGile) as config_file:
plotly_user_config = json.load(config_file)
username = plotly_user_config['plotly_username']
api_key = plotly_user_config['plotly_api_key']
stream_token = plotly_user_config['plotly_streaming_tokens'][chanID]
stream_server = 'http://stream.plot.ly'
p = plotly.plotly(username, api_key)
layout = {'autosize': True, 'showlegend':True,'legend': {"x" : 1, "y" : 1},"xaxis": {"title":"Time"},"yaxis": {"title":"Temp (C)"}}
p.plot([{'x': [],'y': [],"name":fileName,'type': 'scatter', 'mode': 'lines+markers','stream': {'token': stream_token,'maxpoints': 60}}],filename=fileName, fileopt='overwrite',layout = layout, world_readable=True)
s = plotly.stream(stream_token)
return s
def generateThreeTrace(ConfigGile):
with open(ConfigGile) as config_file:
plotly_user_config = json.load(config_file)
username = plotly_user_config['plotly_username']
api_key = plotly_user_config['plotly_api_key']
stream_tokenA = plotly_user_config['plotly_streaming_tokens'][3]
stream_tokenB = plotly_user_config['plotly_streaming_tokens'][4]
stream_tokenC = plotly_user_config['plotly_streaming_tokens'][5]
stream_server = 'http://stream.plot.ly'
layout = {'autosize': True, 'showlegend':True,'legend': {"x" : 1, "y" : 1},"xaxis": {"title":"Time"},"yaxis": {"title":"Temp (C)"}}
data = [
{'x': [], 'y': [],"name":"DS18B20 1", 'type': 'scatter', 'mode': 'lines+markers', 'line': {'color': 'rgba(106, 45, 172, 1)'},
'stream': {'token': stream_tokenA, 'maxpoints': 60}},
{'x': [], 'y': [],"name":"DS18B20 2", 'type': 'scatter', 'mode': 'lines+markers', 'line': {'color': 'rgba(215, 40, 44, 1)'},
'stream': {'token': stream_tokenB, 'maxpoints': 60}},
{'x': [], 'y': [],"name":"MLX90614 1", 'type': 'scatter', 'mode': 'lines+markers', 'line': {'color': 'rgba(106, 240, 44, 1)'},
'stream': {'token': stream_tokenC, 'maxpoints': 60}}]
p = plotly.plotly(username, api_key)
p.plot(data, fileopt='overwrite',layout = {'autosize': True, 'showlegend':True,'legend': {"x" : 1, "y" : 1}})
s4 = plotly.stream(stream_tokenA)
s5 = plotly.stream(stream_tokenB)
s6 = plotly.stream(stream_tokenC)
return s4, s5, s6
#!/usr/bin/python
import datetime
import serial
import RPi.GPIO as GPIO
import plotly
tokens = ['token1', 'token2']
username = '******'
api_key = 'plotly_api_key_here'
p = plotly.plotly(username, api_key)
streams = [plotly.stream(token) for token in tokens]
# Initialize plot with stream tokens
print p.plot([{
'x': [],
'y': [],
'type': 'scatter',
'stream': {
'token': token,
'maxpoints': 40
}
} for token in tokens],
filename='Atlas Streaming Multiplexer',
fileopt='overwrite')
# Set multiplexer to read 00 by setting S0 and S1 to low
GPIO.cleanup()
GPIO.setmode(GPIO.BOARD)
S0_pin = 18
S1_pin = 22
#!/usr/bin/python
import datetime
import serial
import RPi.GPIO as GPIO
import plotly
tokens = ['token1', 'token2']
username = '******'
api_key = 'plotly_api_key_here'
p = plotly.plotly(username, api_key)
streams = [plotly.stream(token) for token in tokens]
# Initialize plot with stream tokens
print p.plot([{
'x': [],
'y': [],
'type': 'scatter',
'stream': {
'token': token,
'maxpoints': 40
}
} for token in tokens],
filename='Atlas Streaming Multiplexer',
fileopt='overwrite')
# Set multiplexer to read 00 by setting S0 and S1 to low
GPIO.cleanup()
GPIO.setmode(GPIO.BOARD)
S0_pin = 18
S1_pin = 22
def read_temp(device_file_no):
lines = read_temp_raw(device_file_no)
while lines[0].strip()[-3:] != 'YES':
time.sleep(0.2)
lines = read_temp_raw(device_file_no)
equals_pos = lines[1].find('t=')
if equals_pos != -1:
temp_string = lines[1][equals_pos+2:]
temp_c = float(temp_string) / 1000.0
temp_f = temp_c * 9.0 / 5.0 + 32.0
return round(temp_f,0)
initPlotly()
stream_1 = plotly.stream(stream_token[0])
stream_2 = plotly.stream(stream_token[1])
stream_3 = plotly.stream(stream_token[2])
stream_4 = plotly.stream(stream_token[3])
while True:
timestamp = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
pump_status=0
drain_status=0
with open(pump_file, "r") as fo:
fo.seek(0, 0)
pump_status = fo.read(1)
fo.closed
def handlePlotlyMessages(msg):
print msg
s = plotly.stream(stream_token)
s.write(json.loads(msg))
import plotly
import time
while True:
try:
s = plotly.stream('ds5xbsv9il')
while True:
s.write({'x': time.time(), 'y': time.time()})
time.sleep(1)
except KeyboardInterrupt:
break
except:
time.sleep(1)
try:
s.close()
except:
pass
def plotly1(msg):
print msg
s = plotly.stream(stream_token1)
data = json.loads(msg)
data['x'] = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')
s.write(data)
plotly_user_config = simplejson.load(config_file)
username = plotly_user_config['plotly_username']
api_key = plotly_user_config['plotly_api_key']
stream_token = plotly_user_config['plotly_streaming_tokens'][0]
p = plotly.plotly(username, api_key)
p.plot([{
'x': [],
'y': [],
'type': 'scatter',
'mode': 'lines',
'stream': {
'token': stream_token,
'maxpoints': 500
}
}],
filename='Time-Series',
fileopt='overwrite')
s = plotly.stream(stream_token)
while True:
r = requests.get("https://api.spark.io/v1/devices/50ff70065067545638"
"200387/result?access_token="
"05970b102f05cd6f6cce1c5dcebccb096a222a63")
x_data_point = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')
a = simplejson.loads(r.text)
y_data_point = simplejson.loads(a['result'])['data1']
print x_data_point, y_data_point
s.write({'x': x_data_point, 'y': y_data_point})
print "written", x_data_point
# The `iplot` command will embed our plotly graph as an iframe in this notebook
# Each plotly graph has a unique url that you can share and anyone can view
# your streaming graph in real-time
p.iplot([{'x': [], 'y': [], 'type': 'scatter', 'mode': 'lines',
'stream': {'token': stream_token, 'maxpoints': 3600}
}],
filename='Is-Jimmies-Cold', fileopt='extend')
# Now stream! Write to a plotly stream object
# Our data will be in the the form:
# {'x': x_data, 'y':y_data}
# Each point that we yield will get shipped through plotly's servers
# to the graph your web-browser, updating it in real-time
s = plotly.stream(stream_token)
i=0
while True:
i+=1
(stdout, stderr) = Popen(["./get-temp.sh"], stdout=PIPE).communicate()
# log current time and a random number
x_data_point = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')
y_data_point = stdout
print('Sending...', 'x',x_data_point,'y',y_data_point)
s.write({'x': x_data_point, 'y': y_data_point})
time.sleep(60)
s.close()
#!/usr/bin/python
import datetime
import plotly
import serial
token = 'stream_token'
username = '******'
api_key = 'plotly_api_key_here'
p = plotly.plotly(username, api_key)
stream = plotly.stream(token)
p.plot([{
'x': [],
'y': [],
'type': 'scatter',
'stream': {
'token': token,
'maxpoints': 100
}
}],
filename='Atlas Streaming dOxy',
fileopt='overwrite')
# Serial code adapted from: https://www.atlas-scientific.com/_files/code/pi_sample_code.pdf
print "Atlas is now Streaming to Plotly!"
usbport = '/dev/ttyAMA0'
ser = serial.Serial(usbport, 38400)
# turn on the LEDs
ser.write("L1\r")
