How can I create a scatter plot in Python?
You can use the Matplotlib library to create a scatter plot. First, install it using pip install matplotlib
. Then, you can use the following code:
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]
plt.scatter(x, y)
plt.title('Scatter Plot Example')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.show()
What if I want to customize the colors and markers?
You can customize the colors and markers by adding parameters to the scatter
function. For example:
plt.scatter(x, y, color='red', marker='x')
Can I add a trend line to the scatter plot?
Yes, you can add a trend line using NumPy to calculate the line of best fit. Here's how:
import numpy as np
m, b = np.polyfit(x, y, 1)
plt.plot(x, m*np.array(x) + b, color='blue')
How do I save the plot as an image?
You can save the plot using plt.savefig('filename.png')
before plt.show()
. This will save the plot as a PNG file.
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