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0

I have data that looks like this:

I can make graphs that look like this no problem:

The graph is created via this code:

import matplotlib.pyplot as plt
%matplotlib notebook

x = test['GameNumber']
y = test['Keely Pts']
y2 = test['Felicia Pts']
y3 = test['Alex Pts']

plt.plot(x, y, label='Keely')
plt.plot(x, y2, label='Felicia')
plt.plot(x, y3, label='Alex')

plt.xlabel('Game Number')
plt.ylabel('Game Value')
plt.title('Number of Correct Games')
plt.legend()
plt.show()

My Problem
I want to 'pause' or 'wait' each time a data point is plotted. Each game, the three players are plotted, then there is a .5 second or full second pause, then the next game data is plotted.

How do I add a wait() timer to matplotlib? I tried looked at the documents on matplotlib and even the animate module, since it's heavy focus on sin, cos and pi, I was lost in the weeds, couldn't find a similar example to my problem.

I tried following this example on stackOverflow, but when I tired to implement it just flashed my graph one then the plot became blank. Here was my code for that:

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

x = test['GameNumber']
y = test['Keely Pts']

fig, ax = plt.subplots()
line, = ax.plot(x, y, color='k')

def update(num, x, y, line):
 line.set_data(x[:num], y[:num])
 line.axes.axis([0, 10, 0, 1])
 return line,

ani = animation.FuncAnimation(fig, update, len(x), fargs=[x, y, line],
 interval=25, blit=False)
# ani.save('test.gif')
plt.show()

python matplotlib

share|improve this question

asked Mar 23 at 13:45

John FrielJohn Friel

311215

add a comment | 

0

I have data that looks like this:

I can make graphs that look like this no problem:

The graph is created via this code:

import matplotlib.pyplot as plt
%matplotlib notebook

x = test['GameNumber']
y = test['Keely Pts']
y2 = test['Felicia Pts']
y3 = test['Alex Pts']

plt.plot(x, y, label='Keely')
plt.plot(x, y2, label='Felicia')
plt.plot(x, y3, label='Alex')

plt.xlabel('Game Number')
plt.ylabel('Game Value')
plt.title('Number of Correct Games')
plt.legend()
plt.show()

My Problem
I want to 'pause' or 'wait' each time a data point is plotted. Each game, the three players are plotted, then there is a .5 second or full second pause, then the next game data is plotted.

How do I add a wait() timer to matplotlib? I tried looked at the documents on matplotlib and even the animate module, since it's heavy focus on sin, cos and pi, I was lost in the weeds, couldn't find a similar example to my problem.

I tried following this example on stackOverflow, but when I tired to implement it just flashed my graph one then the plot became blank. Here was my code for that:

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

x = test['GameNumber']
y = test['Keely Pts']

fig, ax = plt.subplots()
line, = ax.plot(x, y, color='k')

def update(num, x, y, line):
 line.set_data(x[:num], y[:num])
 line.axes.axis([0, 10, 0, 1])
 return line,

ani = animation.FuncAnimation(fig, update, len(x), fargs=[x, y, line],
 interval=25, blit=False)
# ani.save('test.gif')
plt.show()

python matplotlib

share|improve this question

asked Mar 23 at 13:45

John FrielJohn Friel

311215

add a comment | 

I have data that looks like this:

I can make graphs that look like this no problem:

The graph is created via this code:

import matplotlib.pyplot as plt
%matplotlib notebook

x = test['GameNumber']
y = test['Keely Pts']
y2 = test['Felicia Pts']
y3 = test['Alex Pts']

plt.plot(x, y, label='Keely')
plt.plot(x, y2, label='Felicia')
plt.plot(x, y3, label='Alex')

plt.xlabel('Game Number')
plt.ylabel('Game Value')
plt.title('Number of Correct Games')
plt.legend()
plt.show()

My Problem
I want to 'pause' or 'wait' each time a data point is plotted. Each game, the three players are plotted, then there is a .5 second or full second pause, then the next game data is plotted.

How do I add a wait() timer to matplotlib? I tried looked at the documents on matplotlib and even the animate module, since it's heavy focus on sin, cos and pi, I was lost in the weeds, couldn't find a similar example to my problem.

I tried following this example on stackOverflow, but when I tired to implement it just flashed my graph one then the plot became blank. Here was my code for that:

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

x = test['GameNumber']
y = test['Keely Pts']

fig, ax = plt.subplots()
line, = ax.plot(x, y, color='k')

def update(num, x, y, line):
 line.set_data(x[:num], y[:num])
 line.axes.axis([0, 10, 0, 1])
 return line,

ani = animation.FuncAnimation(fig, update, len(x), fargs=[x, y, line],
 interval=25, blit=False)
# ani.save('test.gif')
plt.show()

python matplotlib

share|improve this question

asked Mar 23 at 13:45

John FrielJohn Friel

311215

import matplotlib.pyplot as plt
%matplotlib notebook

x = test['GameNumber']
y = test['Keely Pts']
y2 = test['Felicia Pts']
y3 = test['Alex Pts']

plt.plot(x, y, label='Keely')
plt.plot(x, y2, label='Felicia')
plt.plot(x, y3, label='Alex')

plt.xlabel('Game Number')
plt.ylabel('Game Value')
plt.title('Number of Correct Games')
plt.legend()
plt.show()

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

x = test['GameNumber']
y = test['Keely Pts']

fig, ax = plt.subplots()
line, = ax.plot(x, y, color='k')

def update(num, x, y, line):
 line.set_data(x[:num], y[:num])
 line.axes.axis([0, 10, 0, 1])
 return line,

ani = animation.FuncAnimation(fig, update, len(x), fargs=[x, y, line],
 interval=25, blit=False)
# ani.save('test.gif')
plt.show()

share|improve this question

asked Mar 23 at 13:45

John FrielJohn Friel

311215

share|improve this question

asked Mar 23 at 13:45

John FrielJohn Friel

311215

asked Mar 23 at 13:45

John FrielJohn Friel

311215

asked Mar 23 at 13:45

John FrielJohn Friel

311215