# https://www.globalsino.com/ICs/
# Plot table

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

fig, ax = plt.subplots()

fig.patch.set_visible(False)
ax.axis('off')
ax.axis('tight')

print(np.random.randn(2, 3))
df = pd.DataFrame(np.random.randn(2, 3), columns=list('ABC'))

ax.table(cellText=df.values, colLabels=df.columns, loc='center')

fig.tight_layout()

plt.savefig(r"C:\GlobalSino2\ICs\images\4210b.png")
# plt.show()