plt.plot() set_data

The `plt.plot()` function in Matplotlib is used to create a line plot or scatter plot. The `set_data()` method is used to set the data for the line or scatter plot.

For example, to create a line plot with x and y data and set the data using `set_data()`, you can use the following code:

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

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

# Set new data for line plot
x_new = [1, 2, 3, 4, 5]
y_new = [1, 3, 5, 7, 9]
line.set_data(x_new, y_new)

plt.show()

This will create a line plot with the original x and y data, and then set new data for the line plot using `set_data()` with `x_new` and `y_new`.

Similarly, you can use `set_data()` to set the data for a scatter plot. Here's an example:

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

fig, ax = plt.subplots()
scatter = ax.scatter(x, y)

# Set new data for scatter plot
x_new = [1, 2, 3, 4, 5]
y_new = [1, 3, 5, 7, 9]
scatter.set_offsets(list(zip(x_new, y_new)))

plt.show()

This will create a scatter plot with the original x and y data, and then set new data for the scatter plot using `set_offsets()` with `x_new` and `y_new`.