Closed
Description
Bug report
Bug summary
'density' argument in pp.hist() does not scale data appropriately
Code for reproduction
print(matplotlib.__version__)
a = np.array([2.7871902, -0.16587533, 2.400487, -0.22041278, 3.5801802, -0.458245, 1.7463026, -0.29266447, 1.4848666,
-0.13430892, 3.2835798, -0.027157811, 0.55700374, -0.12730916, 0.3448488, -0.3222668, 0.22995274, -0.031041186,
0.1893434, -0.01208617, 2.104571, -0.009364999, 0.062176008, -0.045246653, 0.031220708,-0.04697927,0.02657558,
-0.031277005,0.01713127,-0.031898744,0.012391248,-0.008699492,0.007395051,-0.0067330534,0.005730991,-0.004206775,
0.0037450397,-0.000804145,0.0025498285,-0.0028463008,])
b = pp.hist(a, density=True)
print(b[0])
print(b[1])Actual outcome
3.1.1
[0.43333723 1.54763297 0.06190532 0. 0.06190532 0.06190532
0.06190532 0.06190532 0.06190532 0.12381064]
[-0.458245 -0.05440248 0.34944004 0.75328256 1.15712508 1.5609676
1.96481012 2.36865264 2.77249516 3.17633768 3.5801802 ]
Expected outcome
all values on plot should be <1.0
Matplotlib version
- Operating system: Debian GNU/Linux 9 (stretch) 64-bit
- Matplotlib version: 3.1.1
- Matplotlib backend (
print(matplotlib.get_backend())): Qt5Agg - Python version: 3.7.5 installed via anaconda3, default channels
- Jupyter version (if applicable): n/a
- Other libraries: n/a