I am using different libraries like pandas and numpy for generating a dataframe, which eventually generate a graph.
Now, I need to show this graph into a simple webpage
The best way to export matplotlib charts to the web browser is to Use mpld3 library. Here is the example.
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import mpld3
from mpld3 import plugins
np.random.seed(9615)
# generate df
N = 100
df = pd.DataFrame((.1 * (np.random.random((N, 5)) - .5)).cumsum(0),
columns=['a', 'b', 'c', 'd', 'e'],)
# plot line + confidence interval
fig, ax = plt.subplots()
ax.grid(True, alpha=0.3)
for key, val in df.iteritems():
l, = ax.plot(val.index, val.values, label=key)
ax.fill_between(val.index,
val.values * .5, val.values * 1.5,
color=l.get_color(), alpha=.4)
# define interactive legend
handles, labels = ax.get_legend_handles_labels() # return lines and labels
interactive_legend = plugins.InteractiveLegendPlugin(zip(handles,
ax.collections),
labels,
alpha_unsel=0.5,
alpha_over=1.5,
start_visible=True)
plugins.connect(fig, interactive_legend)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_title('Interactive legend', size=20)
mpld3.show()
https://mpld3.github.io/quickstart.html