Artificial Intelligence
Linear Graphs
- Linear
- Slope
- Intercept
Linear Graphs
Linear means straight. A linear graph is a strait line.
In general, a linear graph displays function values.
Example
# Name Axis
plt.title('y = x')
plt.xlabel('x - axis')
plt.ylabel('y - axis')
# Set Axis Range
plt.xlim(0, 10)
plt.ylim(0, 10)
# Set x and y values
x = np.array([0,1,2,3,4,5,6,7,8,9,10])
y = x
# Plot the Graph
plt.plot(x, y)
plt.show()
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Slope
The slope is the angle of the graph.
The slope is the a value in a linear graph:
y = ax
In this example the slope is 1.2:
Example
# Set x and y values
x = np.array([0,1,2,3,4,5,6,7,8,9,10])
slope = 1.2
# Plot the Graph
plt.plot(x, slope * x)
plt.show()
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Intercept
The Intercept is the start value of the graph.
The intercept is the b value in a linear graph:
y = ax + b
In this example the slope is 1.2 and the intercept is 2:
Example
# Set x and y values
x = np.array([0,1,2,3,4,5,6,7,8,9,10])
slope = 1.2
intercept = 2
# Plot the Graph
plt.plot(x, slope * x + intercept)
plt.show()
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