%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np

# Scatter points
fig, ax = plt.subplots()
np.random.seed(0)
x, y = np.random.normal(size=(2, 200))
color, size = np.random.random((2, 200))

ax.scatter(x, y, c=color, s=500 * size, alpha=0.3)
ax.grid(color='lightgray', alpha=0.7)

import mpld3
mpld3.display(fig)

mpld3.enable_notebook()

# Histogram with modified axes/grid
fig = plt.figure()

ax = fig.add_subplot(111, axisbg='#EEEEEE')
ax.grid(color='white', linestyle='solid')

x = np.random.normal(size=1000)
ax.hist(x, 30, histtype='stepfilled', fc='lightblue', alpha=0.5);

# Draw lines
fig, ax = plt.subplots()
x = np.linspace(-5, 15, 1000)
for offset in np.linspace(0, 3, 4):
    ax.plot(x, 0.9 * np.sin(x - offset), lw=5, alpha=0.4,
            label="Offset: {0}".format(offset))
ax.set_xlim(0, 10)
ax.set_ylim(-1.2, 1.0)
ax.text(5, -1.1, "Here are some curves", size=18, ha='center')
ax.grid(color='lightgray', alpha=0.7)
ax.legend()

# multiple subplots, shared axes
fig, ax = plt.subplots(2, 2, figsize=(8, 6),sharex='col', sharey='row')
fig.subplots_adjust(hspace=0.3)

np.random.seed(0)

for axi in ax.flat:
    color = np.random.random(3)
    axi.plot(np.random.random(30), lw=2, c=color)
    axi.set_title("RGB = ({0:.2f}, {1:.2f}, {2:.2f})".format(*color),
                  size=14)
    axi.grid(color='lightgray', alpha=0.7)

from mpld3 import plugins

fig, ax = plt.subplots(3, 3, figsize=(6, 6))
fig.subplots_adjust(hspace=0.1, wspace=0.1)
ax = ax[::-1]

X = np.random.normal(size=(3, 100))
for i in range(3):
    for j in range(3):
        ax[i, j].xaxis.set_major_formatter(plt.NullFormatter())
        ax[i, j].yaxis.set_major_formatter(plt.NullFormatter())
        points = ax[i, j].scatter(X[j], X[i])
        
plugins.connect(fig, plugins.LinkedBrush(points))