from collections import OrderedDict
import numpy as np
import pandas as pd
from bokeh.charts import Histogram
# we build some distributions and load them into a dict
mu, sigma = 0, 0.5
normal = np.random.normal(mu, sigma, 1000)
lognormal = np.random.lognormal(mu, sigma, 1000)
distributions = OrderedDict(normal=normal, lognormal=lognormal)
# then we create a pandas df from the dict
df = pd.DataFrame(distributions)
distributions = df.to_dict()
for k, v in distributions.items():
distributions[k] = v.values()
# any of the following commented are valid Histogram inputs
#df = list(distributions.values())
#df = tuple(distributions.values())
#df = tuple([tuple(x) for x in distributions.values()])
#df = np.array(list(distributions.values()))
#df = list(distributions.values())[0]
hist = Histogram(df, bins=50, filename="histograms.html", legend=True)
# hist.title("Histograms").ylabel("frequency").xlabel('distributions').legend(True)
# hist.width(400).height(350)
hist.show()
