import numpy as np import matplotlib.pyplot as plt from matplotlib import rcParams rcParams['font.size'] = 16 rcParams['font.family'] = 'serif' # Colors red = '#e41a1c' blue = '#377eb8' green = '#4daf4a' purple = '#984ea3' # Data sigma = 5.670373e-8 area = 1 emissivity = 1 T = np.linspace(0, 400) P = lambda T: sigma * area * emissivity * T**4 # First plot fig = plt.figure(figsize=(8, 5)) ax1 = fig.add_subplot(111) plt.plot(T, P(T), lw=2, color='black') plt.grid(b=True, ls='--', alpha=0.4) plt.xlabel(r"$T$ (K)") plt.ylabel(r"$P$ (W/m$^2$)") # Annotations plt.plot(273.15, P(273.15), 'o', color=blue, ms=10) plt.text(240, P(273.15), 'Ice', color=blue, va='center') plt.plot(293.15, P(293.15), 'o', color=green, ms=10) plt.text(300, P(293.15), 'Room\ntemperature', color=green, va='top') plt.plot(310.15, P(310.15), 'o', color=purple, ms=10) plt.text(220, P(310.15) + 10, 'Body\ntemperature', color=purple, va='bottom') plt.plot(373.15, P(373.15), 'o', color=red, ms=10) plt.text(320, P(373.15), 'Boiling\nwater', color=red) # Second axis ax2 = ax1.twiny() ax2.set_xlim([-273.15, 126.85]) plt.xlabel(r"$T$ ($^\circ$C)") plt.savefig('Emissive_Power.svg', bbox_inches='tight') plt.show()
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4