Matplotlib does not support generators as input

Matplotlib does not support generators as input.

Generators are a special type of iterable in Python that produce a sequence of values on-the-fly, rather than creating the entire sequence in memory all at once. Matplotlib requires the entire dataset to be present in memory in order to generate plots.

Here is an example to illustrate this:

import matplotlib.pyplot as plt

# A generator function that produces a sequence of values
def my_generator():
  for i in range(10):
    yield i

# Using the generator as input to plot
plt.plot(my_generator())
plt.show()
  

In the above code, we define a generator function called my_generator() that yields values from 0 to 9. We then pass this generator function to the plot() function of matplotlib, which is not supported.

To plot the data from a generator, you can convert it to a list or an array and then use it as input for the plotting functions. Here is an updated example:

import matplotlib.pyplot as plt

# A generator function that produces a sequence of values
def my_generator():
  for i in range(10):
    yield i

# Converting the generator to a list
data = list(my_generator())

# Using the list as input to plot
plt.plot(data)
plt.show()
  

In this modified code, we convert the generator to a list using the list() function. The resulting list can then be used as input to the plot() function of matplotlib.