Histogram collections

WARNING: Experimental functionality that will probably be redesigned in version 0.5.

STATUS: Very alpha



In [1]:

    
import numpy as np
np.random.seed(42)

from physt import h1
from physt.histogram_collection import HistogramCollection



In [2]:

    
from physt.plotting import matplotlib



In [3]:

    
from physt.plotting import set_default_backend
from physt.plotting import vega
from physt.plotting import matplotlib
set_default_backend("matplotlib")



In [4]:

    
%matplotlib inline



In [5]:

    
data1 = np.random.normal(100, 15, 2000)
h_a = h1(data1, "fixed_width", 10, name="first")
h_a.plot();



In [6]:

    
data2 = np.random.normal(80, 10, 2000)
h_b = h1(data2, h_a.binning, name="second")
h_b.plot();



In [7]:

    
collection = HistogramCollection(h_a, h_b, title="Combination")



In [8]:

    
collection.create("third", np.random.normal(148, 5, 300))









    Out[8]:





Histogram1D('third', bins=(11,), total=299, dtype=int64)

Plotting in matplotlib



In [9]:

    
# The default
collection.plot();



In [10]:

    
# Add some options
collection.plot.line(alpha=.5, lw=8, xlabel="Index");

Plotting in vega



In [11]:

    
set_default_backend("vega")



In [12]:

    
collection.plot.scatter(legend=False)



In [13]:

    
collection.plot.line(lw=7, legend=True, alpha=.5)