%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import mpld3
mpld3.enable_notebook()
np.random.seed(0)
plt.plot(np.random.rand(10));
from mpld3 import plugins
fig, ax = plt.subplots()
points = ax.scatter(np.random.rand(40), np.random.rand(40),
s=300, alpha=0.3)
labels = ["Point {0}".format(i) for i in range(40)]
tooltip = plugins.PointLabelTooltip(points, labels)
plugins.connect(fig, tooltip)
import pandas as pd
from mpld3 import plugins
A=pd.read_csv('CC_Lex.csv')
x=A.index1.values.tolist()
y=A.Latitude.values.tolist()
fig, ax = plt.subplots()
points = ax.scatter(x,y,
s=50, alpha=0.3)
labels = ["Point {0}".format(i) for i in range(151)]
tooltip = plugins.PointLabelTooltip(points, labels)
plugins.connect(fig, tooltip)