def train_bot():
rows = getRows('Blackjack')
x = [r[0:3] for r in rows]
y = [r[3] for r in rows]
MLP = MLPClassifier()
MLP = MLP.fit(x, y)
print(MLP.predict_proba([(20, 5, 0)]) * 100)
def updateGraph(data):
# Update all our plots
for plot in plots:
# Grab our row information
timeStamps, isDroppedPackets, delayTimes = getRows(plot["table"],
age=plot["age"])
# Clear image. If we don't, it gets smudgy
plot["ax"].clear()
# Re-set the title
plot["ax"].set_title(plot["title"])
# Re-draw the chart
plot["ax"].pie([isDroppedPackets.count(0),
isDroppedPackets.count(1)], [0, 0.05],
["Not Dropped", "Dropped"],
shadow=True,
autopct="%.0f%%",
startangle=45,
colors=[colorGood, colorBad])
plot["ax"].relim() # reset intern limits of the current axes
plot["ax"].autoscale_view() # reset axes limits
# Draw our pie charts
fig.canvas.draw()
return None,
def buildGraph():
"""
Input:
Nothing
Action:
Loops through all registered plots.
Creates and initializes their graph.
Updates plots global list.
Returns:
Nothing
"""
global line, fig, plots
# Initialize ax (subplot holder)
ax = None
# Create as many plots as we need to
# TODO: Allow customization of view
fig,ax = plt.subplots(nrows=len(plots), ncols=1, sharex=sharex, sharey=sharey)
# Loop through our registered plots
for plot in plots:
# Grab our row information
timeStamps, isDroppedPacket, delayTime = getRows(plot["table"], age=plot["age"])
# Move over our ax element. If only one registered plot, this will be ax itself, it more than one, it will be in a numpy array.
# Make sure we're looking at a list
if isinstance(ax,np.ndarray) == True:
# Numpy won't let us pop. We'll grab the top, then remove it.
plot["ax"] = ax[0]
ax = np.delete(ax,0, axis=0)
else:
# This is the case where we're only plotting one thing. Just copy it over.
plot["ax"] = ax
# Plot our initial data points, saving the line object we will use later to update it for animations.
# TODO: Allow customization here
plot["line"] = plot["ax"].plot(timeStamps, delayTime, '-', linewidth=1)[0]
# Format the background grid
#ax.grid(color='r', linestyle='--', linewidth=1)
# TODO: Allow customization here
plot["ax"].grid(True, 'major')
# Set our axis labels.
plot["ax"].set_xlabel("time (local time)")
plot["ax"].set_ylabel("round trip time (s)")
# Set plot title based on plot parameters
plot["ax"].set_title(plot["title"])
# Add human fiendly times along the bottom
addTimeTicks(timeStamps, plot["ax"])
# Add the footer
footer(plt)
def buildGraph():
"""
Input:
Nothing
Action:
Loops through all registered plots.
Creates and initializes their graph.
Updates plots global list.
Returns:
Nothing
"""
global line, fig, plots
# Initialize ax (subplot holder)
ax = None
# Create as many plots as we need to
# TODO: Allow customization of view
fig,ax = plt.subplots(nrows=len(plots), ncols=1, sharex=sharex, sharey=sharey)
# Loop through our registered plots
for plot in plots:
# Grab our row information
timeStamps, isDroppedPacket, delayTime = getRows(plot["table"], age=plot["age"])
# Move over our ax element. If only one registered plot, this will be ax itself, it more than one, it will be in a numpy array.
# Make sure we're looking at a list
if isinstance(ax,np.ndarray) == True:
# Numpy won't let us pop. We'll grab the top, then remove it.
plot["ax"] = ax[0]
ax = np.delete(ax,0, axis=0)
else:
# This is the case where we're only plotting one thing. Just copy it over.
plot["ax"] = ax
# Plot our initial data points, saving the line object we will use later to update it for animations.
# TODO: Allow customization here
plot["line"] = plot["ax"].plot(timeStamps, delayTime, '-', linewidth=1)[0]
# Format the background grid
#ax.grid(color='r', linestyle='--', linewidth=1)
# TODO: Allow customization here
plot["ax"].grid(True, 'major')
# Set our axis labels.
plot["ax"].set_xlabel("time (local time)")
plot["ax"].set_ylabel("round trip time (s)")
# Set plot title based on plot parameters
plot["ax"].set_title(plot["title"])
# Add human fiendly times along the bottom
addTimeTicks(timeStamps, plot["ax"])
# Add the footer
footer(plt)
def buildGraph():
"""
Input:
Nothing
Action:
Loops through all registered plots.
Creates and initializes their graph.
Updates plots global list.
Returns:
Nothing
"""
global line, fig, plots
# Initialize ax (subplot holder)
ax = None
# Generate our figure object
fig = plt.figure()
# Loop through our registered plots
for plot in plots:
# Create the pie chart plot for this pie chart
plot["ax"] = plt.subplot2grid((gridx, gridy),
(plot["locy"], plot["locx"]),
aspect=1)
# Grab our row information
timeStamps, isDroppedPacket, delayTime = getRows(plot["table"],
age=plot["age"])
# Plot our initial data points, saving the line object we will use later to update it for animations.
# TODO: Allow customization here
plot["ax"].pie([isDroppedPacket.count(0),
isDroppedPacket.count(1)], [0, 0.05],
["Not Dropped", "Dropped"],
shadow=True,
autopct="%.0f%%",
startangle=45,
colors=[colorGood, colorBad])
# Set plot title based on plot parameters
plot["ax"].set_title(plot["title"])
# Add the footer
footer(plt)
def updateGraph(data): global line # Update all our plots for plot in plots: # Grab our row information timeStamps, isDroppedPackets, delayTimes = getRows(plot["table"], age=plot["age"]) # Add new data to the graph plot["line"].set_data(timeStamps, delayTimes) # Auto fit the graph plot["ax"].relim() # reset intern limits of the current axes plot["ax"].autoscale_view() # reset axes limits # Change x ticks to be human readable addTimeTicks(timeStamps, plot["ax"]) # Draw the graph fig.canvas.draw() return None,
def updateGraph(data): global line # Update all our plots for plot in plots: # Grab our row information timeStamps, isDroppedPackets, delayTimes = getRows(plot["table"], age=plot["age"]) # Add new data to the graph plot["line"].set_data(timeStamps, delayTimes) # Auto fit the graph plot["ax"].relim() # reset intern limits of the current axes plot["ax"].autoscale_view() # reset axes limits # Change x ticks to be human readable addTimeTicks(timeStamps, plot["ax"]) # Draw the graph fig.canvas.draw() return None,
def buildGraph(): """ Input: Nothing Action: Loops through all registered plots. Creates and initializes their graph. Updates plots global list. Returns: Nothing """ global line, fig, plots # Initialize ax (subplot holder) ax = None # Generate our figure object fig = plt.figure() # Loop through our registered plots for plot in plots: # Create the pie chart plot for this pie chart plot["ax"] = plt.subplot2grid((gridx,gridy), (plot["locy"],plot["locx"]), aspect=1) # Grab our row information timeStamps, isDroppedPacket, delayTime = getRows(plot["table"], age=plot["age"]) # Plot our initial data points, saving the line object we will use later to update it for animations. # TODO: Allow customization here plot["ax"].pie([isDroppedPacket.count(0),isDroppedPacket.count(1)],[0,0.05],["Not Dropped","Dropped"], shadow=True, autopct="%.0f%%", startangle=45, colors=[colorGood,colorBad]) # Set plot title based on plot parameters plot["ax"].set_title(plot["title"]) # Add the footer footer(plt)
def updateGraph(data): # Update all our plots for plot in plots: # Grab our row information timeStamps, isDroppedPackets, delayTimes = getRows(plot["table"], age=plot["age"]) # Clear image. If we don't, it gets smudgy plot["ax"].clear() # Re-set the title plot["ax"].set_title(plot["title"]) # Re-draw the chart plot["ax"].pie([isDroppedPackets.count(0),isDroppedPackets.count(1)],[0,0.05],["Not Dropped","Dropped"], shadow=True, autopct="%.0f%%", startangle=45, colors=[colorGood,colorBad]) plot["ax"].relim() # reset intern limits of the current axes plot["ax"].autoscale_view() # reset axes limits # Draw our pie charts fig.canvas.draw() return None,
