2016-07-04 6 views

Antwort

0

Ich hoffe, dass das folgende Beispiel aus here genommen, auf Ihre Bedürfnisse Suiten:

import matplotlib.pyplot as plt 
import numpy as np 
import pandas as pd 
import mpld3 
from mpld3 import plugins 

# Define some CSS to control our custom labels 
css = """ 
table 
{ 
    border-collapse: collapse; 
} 
th 
{ 
    color: #ffffff; 
    background-color: #000000; 
} 
td 
{ 
    background-color: #cccccc; 
} 
table, th, td 
{ 
    font-family:Arial, Helvetica, sans-serif; 
    border: 1px solid black; 
    text-align: right; 
} 
""" 

fig, ax = plt.subplots() 
ax.grid(True, alpha=0.3) 

N = 50 
df = pd.DataFrame(index=range(N)) 
df['x'] = np.random.randn(N) 
df['y'] = np.random.randn(N) 
df['z'] = np.random.randn(N) 

labels = [] 
for i in range(N): 
    label = df.ix[[i], :].T 
    label.columns = ['Row {0}'.format(i)] 
    # .to_html() is unicode; so make leading 'u' go away with str() 
    labels.append(str(label.to_html())) 

points = ax.plot(df.x, df.y, 'o', color='b', 
       mec='k', ms=15, mew=1, alpha=.6) 

ax.set_xlabel('x') 
ax.set_ylabel('y') 
ax.set_title('HTML tooltips', size=20) 

tooltip = plugins.PointHTMLTooltip(points[0], labels, 
            voffset=10, hoffset=10, css=css) 
plugins.connect(fig, tooltip) 

mpld3.show() 

Ausgang:

enter image description here

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