manylabels 0.1.0

Automatically add multiple x-axis labels to your matplotlib subplots.

manylabels

Many plots in the heliophysics science community are of satellites showing various physical observations. To place these observations in context, scientists often include multiple x-axis labels showing, for example, the satellite location. This is surprisingly hard to implement using matplotlib. Nevertheless, manylabels.ManyLabels() class provides this functionality.

Installation

$ python -m pip install manylabels

Example

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

n = 100
x = np.array([pd.Timestamp(2000,1,1,5,0,0) + pd.Timedelta(minutes=i) for i in range(n)])
y = np.random.rand(n)

data = pd.DataFrame(
    index=x,
    data={
        'x':np.linspace(0, 10, num=n),
        'y':np.linspace(10, 20, num=n),
        'z':np.linspace(-5, 5, num=n)
        }
    )

fig, ax = plt.subplots()
ax.plot(x, y)
manylabels.ManyLabels(ax, data)
plt.show()