jwt625

import numpy as np
import matplotlib.pyplot as plt

# Parameters
n_grid = 500

# Create the meshgrid
xs, ys = np.meshgrid(np.arange(1, n_grid+1), np.arange(1, n_grid+1))

# Reshape the grids

jwt625

I will give you a long post and ask you to exract tags from it. I will also give you list of example tags from past posts. Here are some example tags:

• PCSEL
• Nanotube
• Lens
• Optics
• Flexure
• RSA
• Microwave

jwt625

You are an expert Python developer who specializes in writing matplotlib code based on a given picture. I found a very nice picture in a STEM paper, but there is no corresponding source code available. I need your help to generate the Python code that can reproduce the picture based on the picture I provide. Note that it is necessary to use proper figsize to set the image size to match the original size. Now, please give me the matplotlib code that reproduces the picture below.

jwt625

fn magic_energy<D: Dim>(q: D) -> Energy =
    if is_zero(q)
      then 0
      else if is_dimensionless(q / s)  # q is a time: E = h / q
        then ℎ / quantity_cast(q, s)
      else if is_dimensionless(q * s)  # q is a frequency: E = h *q
        then ℎ * quantity_cast(q, 1/s)
    else if is_dimensionless(q / K)  # q is a temperature: E = k_B T
      then k_B quantity_cast(q, K)
    else if is_dimensionless(q / m)  # q is a wavelength: E = ℎ c / λ