Custom Matplotlib setup to make charts readable, to use with pandas

matplotlib-readable-jupyter.py

import matplotlib
import matplotlib.pyplot as plt

%matplotlib inline

# Heuristics to make labels always readable, for dpi = 100 (default)
fig_w, fig_h = 10, 6  # Figure dimensions (in inches)
font_size = fig_w + fig_h  # Font size (in pts.)

matplotlib.rcParams.update({
    'figure.figsize': (fig_w, fig_h),
    'font.size': font_size,
    'font.family': 'monospace',  # Optional (default: sans-serif)
    'figure.facecolor': 'white',  # White background behind ticks (avoid Chrome's black background issue)
    #'xtick.labelsize': 'medium',  # Adjust relative label sizes
    #'ytick.labelsize': 'medium',
    #'legend.fontsize': 'medium',
    #'legend.framealpha': 1.0
})