Re: [Matplotlib-users] problem: AttributeError: 'float' object has no attribute 'trace'
Hi Juan,
FYI - you forgot to reply to the mailing list in your previous email...
As for the problem, as Eric mentioned, it seems to be a problem with your
plot_posterior_nodes function. That one is out of the matplotlib library,
and I guess it belongs to the HDDM package. You might want to ask people in
their mailing list for more help,
Shawn
On Wed, Jun 3, 2015 at 2:10 PM, Juan Wu wujua...@gmail.com wrote:
Shawn,
Thanks so much for your prompt reply. This is my code, but it calls other
package (i.e., HDDM).
v_Neutral, v_Win, v_Loss = m_within_subj.nodes_db.ix[[v_Intercept,
v_C(Value_Cond,
Treatment('Neutral'))[T.Win],
v_C(Value_Cond,
Treatment('Neutral'))[T.Loss]], 'node']
hddm.analyze.plot_posterior_nodes([v_Neutral, v_Win, v_Loss])
plt.xlabel('drift-rate')
plt.ylabel('Posterior probability')
plt.title('Group mean posteriors of within-subject drift-rate effects.')
plt.savefig('E4_within_subject_design.pdf')
I also tried this, but it also did not work.
v_Neutral, v_Win, v_Loss = m_within_subj.nodes_db.ix[[v_Intercept,
v_C(Value_Cond,
Treatment('Neutral'))[T.Win],
v_C(Value_Cond,
Treatment('Neutral'))[T.Loss]], 'node']
#hddm.analyze.plot_posterior_nodes([v_Neutral, v_Win, v_Loss])
hddm.analyze.plot_posterior_nodes([float(v_Neutral), float(v_Win),
float(v_Loss)])
plt.xlabel('drift-rate')
plt.ylabel('Posterior probability')
plt.title('Group mean posteriors of within-subject drift-rate effects.')
plt.savefig('E4_within_subject_design.pdf')
On Wed, Jun 3, 2015 at 2:06 PM, Yuxiang Wang yw...@virginia.edu wrote:
Hi Juan,
Could you post a minimal code to reproduce your issue?
Shawn
On Wed, Jun 3, 2015 at 2:03 PM, Juan Wu wujua...@gmail.com wrote:
Hi, List experts,
Any one can help for this error solution? I googled but did not find
this report.
Thanks in adance...
matplotlib.figure.Figure at 0x1afe8f50
Traceback (most recent call last):
File ipython-input-38-7909dff7bc28, line 5, in module
hddm.analyze.plot_posterior_nodes([float(v_Neutral), float(v_Win),
float(v_Loss)])
File C:\Anaconda\lib\site-packages\kabuki\analyze.py, line 34, in
plot_posterior_nodes
lb = min([min(node.trace()[:]) for node in nodes])
AttributeError: 'float' object has no attribute 'trace'
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University of Virginia
yw...@virginia.edu
+1 (434) 284-0836
https://sites.google.com/a/virginia.edu/yw5aj/
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Gerling Research Lab
University of Virginia
yw...@virginia.edu
+1 (434) 284-0836
https://sites.google.com/a/virginia.edu/yw5aj/
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[Matplotlib-users] Problems with Real Time Plotting
Hi, I am trying to get a live scrolling graph built from data send by two
arduino sensors. Although live data is being shown in the graph I am not
able to get the x axis scrolling. Actually, after reaching the point
established by the counter (in this case cnt10), the plotting stops. The
arduino and Python codes I am working with are included below. I would very
much appreciate if you can help me getting the scrolling graph working.
ARDUINO CODE
#include Wire.h// imports the wire library for talking over I2C
#include Adafruit_BMP085.h // import the Pressure Sensor Library
Adafruit_BMP085 mySensor; // create sensor object called mySensor
float tempC; // Variable for holding temp in C
float tempF; // Variable for holding temp in F
float pressure; //Variable for holding pressure reading
void setup(){
Serial.begin(115200); //turn on serial monitor
mySensor.begin(); //initialize mySensor
}
void loop() {
tempC = mySensor.readTemperature(); // Be sure to declare your variables
tempF = tempC*1.8 + 32.; // Convert degrees C to F
pressure=mySensor.readPressure(); //Read Pressure
Serial.print(tempF);
Serial.print( , );
Serial.println(pressure);
delay(250); //Pause between readings.
}
PYTHON CODE
import serial # import Serial Library
import numpy # Import numpy
import matplotlib.pyplot as plt #import matplotlib library
from drawnow import *
tempF= []
pressure=[]
arduinoData = serial.Serial('com6', 115200) #Creating our serial object
named arduinoData
plt.ion() #Tell matplotlib you want interactive mode to plot live data
cnt=0
def makeFig(): #Create a function that makes our desired plot
plt.ylim(0,90) #Set y min and max values
plt.title('My Live Streaming Sensor Data') #Plot the title
plt.grid(True) #Turn the grid on
plt.ylabel('Temp F')#Set ylabels
plt.plot(tempF, 'ro-', label='Degrees F') #plot the temperature
plt.legend(loc='upper left')#plot the legend
plt2=plt.twinx()#Create a second y axis
plt.ylim(0,90) #Set limits of second y axis-
adjust to readings you are getting
plt2.plot(pressure, 'b^-', label='Pressure (Pa)') #plot pressure data
plt2.set_ylabel('Pressrue (Pa)')#label second y axis
plt2.ticklabel_format(useOffset=False) #Force matplotlib to
NOT autoscale y axis
plt2.legend(loc='upper right') #plot the legend
while True: # While loop that loops forever
while (arduinoData.inWaiting()==0): #Wait here until there is data
pass #do nothing
arduinoString = arduinoData.readline() #read the line of text from the
serial port
dataArray = arduinoString.split(',') #Split it into an array called
dataArray
temp = float( dataArray[0])#Convert first element to
floating number and put in temp
P =float( dataArray[1])#Convert second element to
floating number and put in P
tempF.append(temp) #Build our tempF array by
appending temp readings
pressure.append(P) #Building our pressure array by
appending P readings
drawnow(makeFig) #Call drawnow to update our live
graph
plt.pause(.01) #Pause Briefly. Important to
keep drawnow from crashing
cnt=cnt+1
if(cnt10):#If you have 50 or more points,
delete the first one from the array
tempF.pop(0) #This allows us to just see the
last 50 data points
pressure.pop(0)
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Re: [Matplotlib-users] Turning grid on
Works for me too using
plt.grid()
but I can't find the way to customize the grid (size, type…)?
trying http://matplotlib.org/examples/pylab_examples/axes_props.html
doesn't do anything for me !
On Jun 3, 2015, at 9:39 AM, step...@theboulets.net
wrote:
But this works:
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
plt.ylabel('Sample ylabel')
plt.xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on()
plt.grid(True)
plt.show()
Hm, I tried both suggestions, and still no grid (removed PDF for
simplicity):
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on()
ax.grid('on')
plt.show()
And if you meant 'grid', I guess
ax.grid('on')
should be added.
* Youngung Jeong, ì .ì~ì.*
On Mon, Jun 1, 2015 at 4:38 PM, Sterling Smith smit...@fusion.gat.com
wrote:
Stephen,
In your script, you give
ax.minorticks_on
but you need to call that function for anything to occur
ax.minorticks_on()
Also, did you see
http://matplotlib.org/examples/pylab_examples/axes_props.html
in case your original question was not answered.
-Sterling
On Jun 1, 2015, at 1:24PM, step...@theboulets.net wrote:
I only see that you added plt.show(), but neither the grid or the
axis
labels are showing up.
Here is what I see with a couple of things modified ?
did you expect something else ?
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
with PdfPages('grid_test.pdf') as pdf:
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on
plt.show()
pdf.savefig()
[cid:8C80F2A2-AD50-4E09-B0EF-0596312F5093@ornl.gov]
On Jun 1, 2015, at 2:49 PM,
step...@theboulets.netmailto:step...@theboulets.net
wrote:
I am having an issue with the grid not appearing that I cannot
figure
out.
Can anyone help? Thanks. --StephenB
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
with PdfPages('grid_test.pdf') as pdf:
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on
pdf.savefig()
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Re: [Matplotlib-users] Turning grid on
I think the problem is associated with the way np.arange is used.
np.arange(0,10,20) would return array[0]
If you still would like to manually configure the tick positions the way
you seemed to want, you can use np.linspace.
Below worked for me.
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
ax.plot(x,y)
ax.grid('on')
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.linspace(0, 10, 11))
ax.set_yticks(np.linspace(-1,1,11))
ax.minorticks_on()
plt.show()
* Youngung Jeong*
On Wed, Jun 3, 2015 at 9:27 AM, step...@theboulets.net wrote:
Hm, I tried both suggestions, and still no grid (removed PDF for
simplicity):
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on()
ax.grid('on')
plt.show()
And if you meant 'grid', I guess
ax.grid('on')
should be added.
* Youngung Jeong, ì •ì˜ ì›…*
On Mon, Jun 1, 2015 at 4:38 PM, Sterling Smith smit...@fusion.gat.com
wrote:
Stephen,
In your script, you give
ax.minorticks_on
but you need to call that function for anything to occur
ax.minorticks_on()
Also, did you see
http://matplotlib.org/examples/pylab_examples/axes_props.html
in case your original question was not answered.
-Sterling
On Jun 1, 2015, at 1:24PM, step...@theboulets.net wrote:
I only see that you added plt.show(), but neither the grid or the
axis
labels are showing up.
Here is what I see with a couple of things modified ?
did you expect something else ?
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
with PdfPages('grid_test.pdf') as pdf:
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on
plt.show()
pdf.savefig()
[cid:8C80F2A2-AD50-4E09-B0EF-0596312F5093@ornl.gov]
On Jun 1, 2015, at 2:49 PM,
step...@theboulets.netmailto:step...@theboulets.net
wrote:
I am having an issue with the grid not appearing that I cannot figure
out.
Can anyone help? Thanks. --StephenB
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
with PdfPages('grid_test.pdf') as pdf:
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on
pdf.savefig()
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Re: [Matplotlib-users] Turning grid on
But this works:
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
plt.ylabel('Sample ylabel')
plt.xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on()
plt.grid(True)
plt.show()
Hm, I tried both suggestions, and still no grid (removed PDF for
simplicity):
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on()
ax.grid('on')
plt.show()
And if you meant 'grid', I guess
ax.grid('on')
should be added.
* Youngung Jeong, ì ìì
*
On Mon, Jun 1, 2015 at 4:38 PM, Sterling Smith smit...@fusion.gat.com
wrote:
Stephen,
In your script, you give
ax.minorticks_on
but you need to call that function for anything to occur
ax.minorticks_on()
Also, did you see
http://matplotlib.org/examples/pylab_examples/axes_props.html
in case your original question was not answered.
-Sterling
On Jun 1, 2015, at 1:24PM, step...@theboulets.net wrote:
I only see that you added plt.show(), but neither the grid or the
axis
labels are showing up.
Here is what I see with a couple of things modified ?
did you expect something else ?
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
with PdfPages('grid_test.pdf') as pdf:
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on
plt.show()
pdf.savefig()
[cid:8C80F2A2-AD50-4E09-B0EF-0596312F5093@ornl.gov]
On Jun 1, 2015, at 2:49 PM,
step...@theboulets.netmailto:step...@theboulets.net
wrote:
I am having an issue with the grid not appearing that I cannot
figure
out.
Can anyone help? Thanks. --StephenB
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
with PdfPages('grid_test.pdf') as pdf:
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on
pdf.savefig()
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Re: [Matplotlib-users] Turning grid on
Hm, I tried both suggestions, and still no grid (removed PDF for simplicity):
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on()
ax.grid('on')
plt.show()
And if you meant 'grid', I guess
ax.grid('on')
should be added.
* Youngung Jeong, ì ìì
*
On Mon, Jun 1, 2015 at 4:38 PM, Sterling Smith smit...@fusion.gat.com
wrote:
Stephen,
In your script, you give
ax.minorticks_on
but you need to call that function for anything to occur
ax.minorticks_on()
Also, did you see
http://matplotlib.org/examples/pylab_examples/axes_props.html
in case your original question was not answered.
-Sterling
On Jun 1, 2015, at 1:24PM, step...@theboulets.net wrote:
I only see that you added plt.show(), but neither the grid or the
axis
labels are showing up.
Here is what I see with a couple of things modified ?
did you expect something else ?
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
with PdfPages('grid_test.pdf') as pdf:
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on
plt.show()
pdf.savefig()
[cid:8C80F2A2-AD50-4E09-B0EF-0596312F5093@ornl.gov]
On Jun 1, 2015, at 2:49 PM,
step...@theboulets.netmailto:step...@theboulets.net
wrote:
I am having an issue with the grid not appearing that I cannot figure
out.
Can anyone help? Thanks. --StephenB
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x = np.linspace(0,10,50)
y = np.sin(x)
with PdfPages('grid_test.pdf') as pdf:
plt.clf()
plt.clf()
plt.plot(x,y)
leg = plt.legend(['legend 1'])
plt.title('Sample title')
ax.set_ylabel('Sample ylabel')
ax.set_xlabel('Sample xlabel')
ax.set_xticks(np.arange(0, 10, 20))
ax.set_xticks(np.arange(0, 10, 5), minor=True)
ax.set_yticks(np.arange(-1,1,20))
ax.set_yticks(np.arange(-1,1,20), minor=True)
ax.minorticks_on
pdf.savefig()
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[Matplotlib-users] Live Scrolling Matplotlib graph
Hi, I am trying to get a live scrolling graph built from data send by two
arduino sensors. Although live data is being shown in the graph I am not
able to get it scrolling. The arduino and Python codes I am working with
are included below. I would very much appreciate if you can help me getting
the scrolling graph working.
PYTHON CODE:
import serial # import Serial Library
import numpy # Import numpy
import matplotlib.pyplot as plt #import matplotlib library
from drawnow import *
tempF= []
pressure= []
arduinoData = serial.Serial('com6', 115200) #Creating our serial object
named arduinoData
plt.ion() #Tell matplotlib you want interactive mode to plot live data
cnt=0
def makeFig(): #Create a function that makes our desired plot
plt.ylim(0,500) #Set y min and max
values
plt.title('Frequency vs Time') #Plot the title
plt.grid(True) #Turn the grid on
plt.ylabel('Frequency (pulses/sec)')#Set
ylabels
plt.plot(tempF, 'ro-', label='pulses/sec') #plot the temperature
plt.legend(loc='upper left')#plot the legend
plt2=plt.twinx()#Create a second y axis
plt.ylim(0,500) #Set limits of second y axis-
adjust to readings you are getting
plt2.plot(pressure, 'b^-', label='Pressure (Pa)') #plot pressure data
plt2.set_ylabel('Pressrue (Pa)')#label second y axis
plt2.ticklabel_format(useOffset=False) #Force matplotlib to
NOT autoscale y axis
plt2.legend(loc='upper right') #plot the legend
while True: # While loop that loops forever
while (arduinoData.inWaiting()==0): #Wait here until there is data
pass #do nothing
arduinoString = arduinoData.readline() #read the line of text from the
serial port
dataArray = arduinoString.split(',') #Split it into an array called
dataArray
temp = float(dataArray[0]) #Convert first element to floating
number and put in temp
pres = float(dataArray[1])#Convert second element to
floating number and put in P
tempF.append(temp) #Build our tempF array by
appending temp readings
pressure.append(pres)#Building our pressure
array by appending P readings
drawnow(makeFig) #Call drawnow to update our live
graph
plt.pause(.01) #Pause Briefly. Important to
keep drawnow from crashing
cnt=cnt+1
if(cnt10):#If you have 50 or more points,
delete the first one from the array
tempF.pop(0) #This allows us to just see the
last 50 data points
pressure.pop(0)
ARDUINO CODE:
#include Wire.h// imports the wire library for talking over I2C
#include Adafruit_BMP085.h // import the Pressure Sensor Library
Adafruit_BMP085 mySensor; // create sensor object called mySensor
float tempC; // Variable for holding temp in C
float tempF; // Variable for holding temp in F
float pressure; //Variable for holding pressure reading
void setup(){
Serial.begin(115200); //turn on serial monitor
mySensor.begin(); //initialize mySensor
}
void loop() {
tempC = mySensor.readTemperature(); // Be sure to declare your variables
tempF = tempC*1.8 + 32.; // Convert degrees C to F
pressure=mySensor.readPressure(); //Read Pressure
Serial.print(tempF);
Serial.print( , );
Serial.println(pressure);
delay(250); //Pause between readings.
}
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Re: [Matplotlib-users] Live Scrolling Matplotlib graph
The plot will autoscale base on the data that has been plotted to it. In
your code, you are repeatedly calling plot(), albeit with a scrolled
version of the data, but all of the previous calls to plot() are still
visible. Also, no x-coordinate information is provided to the calls to
plot(), so each new call to plot() only overlays on top of the previous
calls.
I also see that you are using the interactive mode. This isn't really
necessary. I would suggest reading through some of the animation examples
to see how to automatically update your plot:
http://matplotlib.org/examples/animation/index.html . I would particularly
point out the animate_decay example. While it isn't a scrolling example,
you can see how to update an existing plot with new data from a generator.
It would then just be a matter of updating the x-limits for each update.
I hope that helps!
Ben Root
On Wed, Jun 3, 2015 at 12:17 PM, Alejandro Ureta
alejandro.r.ur...@gmail.com wrote:
Hi, I am trying to get a live scrolling graph built from data send by two
arduino sensors. Although live data is being shown in the graph I am not
able to get it scrolling. The arduino and Python codes I am working with
are included below. I would very much appreciate if you can help me getting
the scrolling graph working.
PYTHON CODE:
import serial # import Serial Library
import numpy # Import numpy
import matplotlib.pyplot as plt #import matplotlib library
from drawnow import *
tempF= []
pressure= []
arduinoData = serial.Serial('com6', 115200) #Creating our serial object
named arduinoData
plt.ion() #Tell matplotlib you want interactive mode to plot live data
cnt=0
def makeFig(): #Create a function that makes our desired plot
plt.ylim(0,500) #Set y min and max
values
plt.title('Frequency vs Time') #Plot the title
plt.grid(True) #Turn the grid on
plt.ylabel('Frequency (pulses/sec)')#Set
ylabels
plt.plot(tempF, 'ro-', label='pulses/sec') #plot the temperature
plt.legend(loc='upper left')#plot the legend
plt2=plt.twinx()#Create a second y axis
plt.ylim(0,500) #Set limits of second y
axis- adjust to readings you are getting
plt2.plot(pressure, 'b^-', label='Pressure (Pa)') #plot pressure data
plt2.set_ylabel('Pressrue (Pa)')#label second y
axis
plt2.ticklabel_format(useOffset=False) #Force matplotlib to
NOT autoscale y axis
plt2.legend(loc='upper right') #plot the legend
while True: # While loop that loops forever
while (arduinoData.inWaiting()==0): #Wait here until there is data
pass #do nothing
arduinoString = arduinoData.readline() #read the line of text from the
serial port
dataArray = arduinoString.split(',') #Split it into an array called
dataArray
temp = float(dataArray[0]) #Convert first element to
floating number and put in temp
pres = float(dataArray[1])#Convert second element to
floating number and put in P
tempF.append(temp) #Build our tempF array by
appending temp readings
pressure.append(pres)#Building our pressure
array by appending P readings
drawnow(makeFig) #Call drawnow to update our
live graph
plt.pause(.01) #Pause Briefly. Important to
keep drawnow from crashing
cnt=cnt+1
if(cnt10):#If you have 50 or more points,
delete the first one from the array
tempF.pop(0) #This allows us to just see the
last 50 data points
pressure.pop(0)
ARDUINO CODE:
#include Wire.h// imports the wire library for talking over I2C
#include Adafruit_BMP085.h // import the Pressure Sensor Library
Adafruit_BMP085 mySensor; // create sensor object called mySensor
float tempC; // Variable for holding temp in C
float tempF; // Variable for holding temp in F
float pressure; //Variable for holding pressure reading
void setup(){
Serial.begin(115200); //turn on serial monitor
mySensor.begin(); //initialize mySensor
}
void loop() {
tempC = mySensor.readTemperature(); // Be sure to declare your variables
tempF = tempC*1.8 + 32.; // Convert degrees C to F
pressure=mySensor.readPressure(); //Read Pressure
Serial.print(tempF);
Serial.print( , );
Serial.println(pressure);
delay(250); //Pause between readings.
}
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[Matplotlib-users] problem: AttributeError: 'float' object has no attribute 'trace'
Hi, List experts, Any one can help for this error solution? I googled but did not find this report. Thanks in adance... matplotlib.figure.Figure at 0x1afe8f50 Traceback (most recent call last): File ipython-input-38-7909dff7bc28, line 5, in module hddm.analyze.plot_posterior_nodes([float(v_Neutral), float(v_Win), float(v_Loss)]) File C:\Anaconda\lib\site-packages\kabuki\analyze.py, line 34, in plot_posterior_nodes lb = min([min(node.trace()[:]) for node in nodes]) AttributeError: 'float' object has no attribute 'trace' -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] problem: AttributeError: 'float' object has no attribute 'trace'
Hi Juan, Could you post a minimal code to reproduce your issue? Shawn On Wed, Jun 3, 2015 at 2:03 PM, Juan Wu wujua...@gmail.com wrote: Hi, List experts, Any one can help for this error solution? I googled but did not find this report. Thanks in adance... matplotlib.figure.Figure at 0x1afe8f50 Traceback (most recent call last): File ipython-input-38-7909dff7bc28, line 5, in module hddm.analyze.plot_posterior_nodes([float(v_Neutral), float(v_Win), float(v_Loss)]) File C:\Anaconda\lib\site-packages\kabuki\analyze.py, line 34, in plot_posterior_nodes lb = min([min(node.trace()[:]) for node in nodes]) AttributeError: 'float' object has no attribute 'trace' -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Yuxiang Shawn Wang Gerling Research Lab University of Virginia yw...@virginia.edu +1 (434) 284-0836 https://sites.google.com/a/virginia.edu/yw5aj/ -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] problem: AttributeError: 'float' object has no attribute 'trace'
On 2015/06/03 8:03 AM, Juan Wu wrote: Hi, List experts, Any one can help for this error solution? I googled but did not find this report. Thanks in adance... matplotlib.figure.Figure at 0x1afe8f50 Traceback (most recent call last): File ipython-input-38-7909dff7bc28, line 5, in module hddm.analyze.plot_posterior_nodes([float(v_Neutral), float(v_Win), float(v_Loss)]) File C:\Anaconda\lib\site-packages\kabuki\analyze.py, line 34, in plot_posterior_nodes lb = min([min(node.trace()[:]) for node in nodes]) AttributeError: 'float' object has no attribute 'trace' This error is not coming from matplotlib at all. plot_posterior_nodes is not our function. Eric -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
