Comments (1)
Answered my own request!
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Cursor
fig, ax = plt.subplots()
x = np.arange(np.datetime64("2022-07-05 06:00"), np.datetime64("2022-07-12 14:00"), np.timedelta64(1, "h"))
y = np.random.rand(len(x))
ax.plot(x, y)
# Object is datetime.datetime. Can use that library or pandas' to_datetime to convert value of x and format as you like
ax.format_coord = lambda x, y: f"x={pd.to_datetime(x, unit='d'):%Y-%m-%d %H:%M} y={y:.3f}"
# Cursor
cursorargs=dict(color='k', linewidth=1, useblit=True) # optional cursor settings
cursor = Cursor(ax, **cursorargs)
from ipympl.
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from ipympl.