Plotting physt histograms

Some matplotlib-based plotting examples, with no exhaustive documentation.



In [1]:

    
# Necessary import evil
import physt
from physt import h1, h2, histogramdd
from physt.plotting import matplotlib
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

np.random.seed(42)

from physt import plotting



In [2]:

    
# Some data
x = np.random.normal(100, 1, 10000)
y = np.random.normal(10, 10, 10000)



In [3]:

    
ax = h2(x, y, 15).plot(figsize=(6, 6), show_zero=False, alpha=0, text_color="black", show_values=True, cmap="BuGn_r", show_colorbar=False, transform=lambda x:1)
h2(x, y, 50).plot.image(cmap="Spectral_r", alpha=0.75, ax=ax)









    Out[3]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f65849404e0>



In [4]:

    
h2(x, y, 40, name="Gauss").plot("image", cmap="rainbow", figsize=(5, 5))









    Out[4]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f65845d18d0>



In [5]:

    
plotting.matplotlib.bar3d(h2(x, y, 10, name="Gauss"), figsize=(5, 5), cmap="Accent");



In [6]:

    
h1(x, "human", 10, name="Gauss").plot(ylim=(100, 1020), cmap="Greys", ticks="edge", errors=True);



In [7]:

    
h1(x, "human", 200, name="Gauss").plot.line(errors=True, yscale="log")









    Out[7]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f65826b1668>



In [8]:

    
h1(x, "human", 200, name="Gauss").plot.fill(lw=1, alpha=.4, figsize=(8, 4))
h1(x, "human", 200, name="Gauss").plot.fill(lw=1, alpha=.4, yscale="log", figsize=(8, 4), color="red")









    Out[8]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f6582772400>



In [9]:

    
h1(x, "human", 200, name="Gauss").plot.scatter(errors=True, xlim=(90, 100), show_stats="all")









    Out[9]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f658305cd68>



In [10]:

    
ha = h1(x, "human", 20, name="Left")
hb = h1(x + 1 * np.sin(x / 12), "human", 40, name="Right")

from physt.plotting.matplotlib import pair_bars



In [11]:

    
pair_bars(ha, hb, density=True, errors=True, figsize=(5, 5));

Example - histogram of time values



In [12]:

    
# Get values close to 
from physt.plotting.common import TimeTickHandler

data = np.random.normal(3600, 900, 4800)
H = h1(data, "human", axis_name="time")
H.plot(tick_handler=TimeTickHandler())









    Out[12]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f65824ffbe0>