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test_fit_plotter.py
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'''
Module with tests for zutils.plot plot class
'''
import os
from typing import Union
from dataclasses import dataclass
import zfit
import numpy
import pytest
import matplotlib.pyplot as plt
from dmu.stats.zfit_plotter import ZFitPlotter
from dmu.logging.log_store import LogStore
log = LogStore.add_logger('dmu:test_fit_plotter')
#--------------------------------
@dataclass
class Data:
'''
Class storing shared variables
'''
l_arg_xerror = [
(True , 'xerr_on' ),
(False, 'xerr_off'),
(0.5 , 'xerr_0p5'),
]
#--------------------------------
def _make_dir_path(name : str) -> str:
path = f'/tmp/dmu/tests/fit_plotter/{name}'
os.makedirs(path, exist_ok=True)
return path
#--------------------------------
def test_simple():
'''
Simplest test of plotting class
'''
arr = numpy.random.normal(0, 1, size=1000)
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.0, -5, 5)
sg = zfit.Parameter("sg", 1.0, 0, 5)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nev = zfit.Parameter('nev', 1000, 0, 10000)
pdf = pdf.create_extended(nev,)
obj = ZFitPlotter(data=arr, model=pdf, result=None)
d_leg = {'gauss': 'New Gauss'}
obj.plot(nbins=50, d_leg=d_leg, plot_range=(-10, 10), ext_text='Extra text here')
obj.axs[1].set_ylim(-5, 5)
plt_dir = _make_dir_path(name = 'simple')
plt.savefig(f'{plt_dir}/fit.png', bbox_inches='tight')
#--------------------------------
def test_title():
'''
Testing adding title in plot
'''
arr = numpy.random.normal(0, 1, size=1000)
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.0, -5, 5)
sg = zfit.Parameter("sg", 1.0, 0, 5)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nev = zfit.Parameter('nev', 1000, 0, 10000)
pdf = pdf.create_extended(nev,)
obj = ZFitPlotter(data=arr, model=pdf, result=None)
d_leg = {'gauss': 'New Gauss'}
obj.plot(title='title here', nbins=50, d_leg=d_leg, plot_range=(-10, 10), ext_text='Extra text here')
obj.axs[1].set_ylim(-5, 5)
plt_dir = _make_dir_path(name = 'title')
plt.savefig(f'{plt_dir}/fit.png', bbox_inches='tight')
#--------------------------------
def test_legend():
'''
Tests overriding of PDF name in legend
'''
obs = zfit.Space('m', limits=(0, 10))
mu = zfit.Parameter("mu", 5.0, 0, 10)
sg = zfit.Parameter("sg", 0.5, 0, 5)
sig = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg)
nsg = zfit.Parameter('nsg', 1000, 0, 10000)
esig= sig.create_extended(nsg, name='gauss')
lm = zfit.Parameter('lm', -0.1, -1, 0)
bkg = zfit.pdf.Exponential(obs=obs, lam=lm)
nbk = zfit.Parameter('nbk', 1000, 0, 10000)
ebkg= bkg.create_extended(nbk, name='expo')
pdf = zfit.pdf.SumPDF([ebkg, esig])
sam = pdf.create_sampler()
obj = ZFitPlotter(data=sam, model=pdf)
d_leg = {'gauss': 'New Gauss'}
obj.plot(nbins=50, d_leg=d_leg, stacked=False, plot_range=(0, 10), ext_text='Extra text here')
# add a line to pull hist
obj.axs[1].plot([0, 10], [0, 0], linestyle='--', color='black')
plt_dir = _make_dir_path(name = 'legend')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
obj.axs[0].set_yscale('log')
plt.savefig(f'{plt_dir}/fit_log.png', bbox_inches='tight')
#--------------------------------
def test_size():
'''
Tests use of figsize argument
'''
arr = numpy.random.normal(0, 1, size=1000)
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.0, -5, 5)
sg = zfit.Parameter("sg", 1.0, 0, 5)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nev = zfit.Parameter('nev', 1000, 0, 10000)
pdf = pdf.create_extended(nev,)
obj = ZFitPlotter(data=arr, model=pdf, result=None)
d_leg = {'gauss': 'New Gauss'}
obj.plot(nbins=50, d_leg=d_leg, plot_range=(-10, 10), ext_text='Extra text here', figsize=(30, 10))
obj.axs[1].set_ylim(-5, 5)
plt_dir = _make_dir_path(name = 'size')
plt.savefig(f'{plt_dir}/fit.png', bbox_inches='tight')
#--------------------------------
def test_leg_loc():
'''
Test usage of leg_loc argument, to place legend
'''
arr = numpy.random.normal(0, 1, size=1000)
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.0, -5, 5)
sg = zfit.Parameter("sg", 1.0, 0, 5)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nev = zfit.Parameter('nev', 1000, 0, 10000)
pdf = pdf.create_extended(nev,)
obj = ZFitPlotter(data=arr, model=pdf, result=None)
d_leg = {'gauss': 'New Gauss'}
obj.plot(nbins=50, d_leg=d_leg, plot_range=(-10, 10), ext_text='Extra text here', leg_loc='upper left')
obj.axs[1].set_ylim(-5, 5)
plt_dir = _make_dir_path(name = 'leg_loc')
plt.savefig(f'{plt_dir}/fit.png', bbox_inches='tight')
#--------------------------------
def test_weights():
'''
Tests plotting of weighted zfit data
'''
obs = zfit.Space('m', limits=(0, 10))
mu = zfit.Parameter("mu", 5, 4.0, 6)
sg1 = zfit.Parameter("sg1", 1.0, 0.5, 2)
sg2 = zfit.Parameter("sg2", 2.0, 0.5, 2)
mu.floating = False
sg1.floating= False
sg2.floating= False
pdf_a = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg1, name='gauss_1')
pdf_b = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg2, name='gauss_2')
nev_1 = zfit.Parameter('nev_1', 200, 1, 100000)
nev_2 = zfit.Parameter('nev_2', 300, 1, 100000)
pdf_1 = pdf_a.create_extended(nev_1, name='G1')
pdf_2 = pdf_b.create_extended(nev_2, name='G2')
pdf = zfit.pdf.SumPDF([pdf_1, pdf_2], name='Model')
arr = numpy.random.normal(loc=5, scale=1, size=1000)
wgt = numpy.random.binomial(1, 0.5, size=arr.size)
dat = zfit.Data.from_numpy(obs=obs, array=arr, weights=wgt)
nll = zfit.loss.ExtendedUnbinnedNLL(model=pdf, data=dat)
mnm = zfit.minimize.Minuit()
res = mnm.minimize(nll)
#Fake GOF for ploting purposes
res.gof = (11, 10, 0.5)
obj = ZFitPlotter(data=dat, model=pdf, result=res)
obj.plot(nbins=50)
# add a line to pull hist
[[lower]], [[upper]] = obs.limits
obj.axs[1].plot([lower, upper], [0, 0], linestyle='--', color='black')
plt_dir = _make_dir_path(name = 'weights')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
#--------------------------------
def test_low_stat():
'''
Testing fit plots with low statistics data
'''
arr = numpy.random.normal(0, 1, size=10)
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.4, -5, 5)
sg = zfit.Parameter("sg", 1.3, 0, 5)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nev = zfit.Parameter('nev', 100, 0, 10000)
pdf = pdf.create_extended(nev,)
dat = zfit.Data.from_numpy(obs=obs, array=arr)
nll = zfit.loss.ExtendedUnbinnedNLL(model=pdf, data=dat)
mnm = zfit.minimize.Minuit()
res = mnm.minimize(nll)
#Fake GOF for ploting purposes
res.gof = (11, 10, 0.5)
obj = ZFitPlotter(data=arr, model=pdf, result=res)
d_leg = {'gauss': 'New Gauss'}
obj.plot(nbins=50, d_leg=d_leg, plot_range=(0, 10), ext_text='Extra text here')
# add a line to pull hist
lower, upper = dat.data_range.limit1d
obj.axs[1].plot([lower, upper], [0, 0], linestyle='--', color='black')
plt_dir = _make_dir_path(name = 'low_stat')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
obj.axs[0].set_yscale('log')
plt.savefig(f'{plt_dir}/fit_log.png', bbox_inches='tight')
#--------------------------------
def test_skip_pulls():
'''
Test usage of skip_pulls=True arg
'''
arr = numpy.random.normal(0, 1, size=1000)
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.4, -5, 5)
sg = zfit.Parameter("sg", 1.3, 0, 5)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nev = zfit.Parameter('nev', 100, 0, 10000)
pdf = pdf.create_extended(nev,)
dat = zfit.Data.from_numpy(obs=obs, array=arr)
nll = zfit.loss.ExtendedUnbinnedNLL(model=pdf, data=dat)
mnm = zfit.minimize.Minuit()
res = mnm.minimize(nll)
res.gof = (11, 10, 0.5)
obj = ZFitPlotter(data=arr, model=pdf, result=res)
obj.plot(plot_range=(0, 10), skip_pulls=True)
plt_dir = _make_dir_path(name = 'skip_pulls')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
#--------------------------------
def test_nodata():
'''
Tests usage of no_data=True arg, to remove data from plot
'''
arr = numpy.random.normal(0, 1, size=1000)
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.4, -5, 5)
sg = zfit.Parameter("sg", 1.3, 0, 5)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nev = zfit.Parameter('nev', 100, 0, 10000)
pdf = pdf.create_extended(nev,)
dat = zfit.Data.from_numpy(obs=obs, array=arr)
nll = zfit.loss.ExtendedUnbinnedNLL(model=pdf, data=dat)
mnm = zfit.minimize.Minuit()
res = mnm.minimize(nll)
obj = ZFitPlotter(data=arr, model=pdf, result=res)
obj.plot(nbins=50, plot_range=(0, 10), no_data=True)
plt_dir = _make_dir_path(name = 'no_data')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
#--------------------------------
def test_axs():
'''
Tests overlaying axes, i.e. overlaying plots
'''
arr = numpy.random.normal(0, 1, size=1000)
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.0, -5, 5)
sg = zfit.Parameter("sg", 1.0, 0, 5)
sg1 = zfit.Parameter("sg1", 1.7, 0, 5)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg , name='gauss')
pdf1= zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg1, name='gauss')
obj = ZFitPlotter(data=arr, model=pdf)
obj.plot(nbins=50, plot_range=(0, 10), ext_text='Extra text here')
obj1 = ZFitPlotter(data=arr, model=pdf1)
obj1.plot(nbins=50, plot_range=(0, 10), ext_text='Extra text here', axs=obj.axs)
obj.axs[1].set_ylim(-5, 5)
obj.axs[1].plot(linestyle='--', color='black')
plt_dir = _make_dir_path(name = 'axes')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
#--------------------------------
def test_stacked():
'''
Testing stacked PDF plots
'''
obs = zfit.Space('m', limits=(0, 10))
mu = zfit.Parameter("mu", 5.0, 0, 10)
sg = zfit.Parameter("sg", 1.3, 0, 5)
sig = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nsg = zfit.Parameter('nsg', 1000, 0, 10000)
esig= sig.create_extended(nsg)
lm = zfit.Parameter('lm', -0.1, -1, 0)
bkg = zfit.pdf.Exponential(obs=obs, lam=lm)
nbk = zfit.Parameter('nbk', 1000, 0, 10000)
ebkg= bkg.create_extended(nbk)
pdf = zfit.pdf.SumPDF([ebkg, esig])
sam = pdf.create_sampler()
nll = zfit.loss.ExtendedUnbinnedNLL(model=pdf, data=sam)
mnm = zfit.minimize.Minuit()
res = mnm.minimize(nll)
print(res)
obj = ZFitPlotter(data=sam.numpy().flatten(), model=pdf, result=res)
d_leg = {'gauss': 'New Gauss'}
obj.plot(stacked=True, nbins=50, d_leg=d_leg, plot_range=(0, 10), ext_text='Extra text here')
# add a line to pull hist
obj.axs[1].plot([0, 10], [0, 0], linestyle='--', color='black')
plt_dir = _make_dir_path('stacked')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
obj.axs[0].set_yscale('log')
plt.savefig(f'{plt_dir}/fit_log.png', bbox_inches='tight')
#--------------------------------
def test_composed():
'''
Testing plot of SumPDF (?)
'''
obs = zfit.Space('m', limits=(0, 10))
mu = zfit.Parameter("mu", 5.0, 0, 10)
sg = zfit.Parameter("sg", 0.5, 0, 5)
sig = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nsg = zfit.Parameter('nsg', 1000, 0, 10000)
esig= sig.create_extended(nsg)
lm = zfit.Parameter('lm', -0.1, -1, 0)
bkg = zfit.pdf.Exponential(obs=obs, lam=lm)
nbk = zfit.Parameter('nbk', 1000, 0, 10000)
ebkg= bkg.create_extended(nbk)
pdf = zfit.pdf.SumPDF([ebkg, esig])
sam = pdf.create_sampler()
obj = ZFitPlotter(data=sam, model=pdf)
d_leg = {'gauss': 'New Gauss'}
obj.plot(nbins=50, d_leg=d_leg, plot_range=(0, 10), ext_text='Extra text here')
# add a line to pull hist
obj.axs[1].plot([0, 10], [0, 0], linestyle='--', color='black')
plt_dir = _make_dir_path('composed')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
obj.axs[0].set_yscale('log')
plt.savefig(f'{plt_dir}/fit_log.png', bbox_inches='tight')
#--------------------------------
def test_composed_nonextended():
'''
Testing plot of sum of PDFs with fractions, non-extended
'''
obs = zfit.Space('m', limits=(-10, 10))
mu1 = zfit.Parameter("mu1", 0.4, -5, 5)
sg1 = zfit.Parameter("sg1", 1.3, 0, 5)
mu2 = zfit.Parameter("mu2", 0.4, -5, 5)
sg2 = zfit.Parameter("sg2", 1.3, 0, 5)
pd1 = zfit.pdf.Gauss(obs=obs, mu=mu1, sigma=sg1, name='gauss1')
fr1 = zfit.Parameter('fr1', 0.5, 0, 1)
pd2 = zfit.pdf.Gauss(obs=obs, mu=mu2, sigma=sg2, name='gauss2')
fr2 = zfit.Parameter('fr2', 0.5, 0, 1)
pdf = zfit.pdf.SumPDF([pd1, pd2], fracs=[fr1, fr2])
dat = pdf.create_sampler(n=1000)
obj = ZFitPlotter(data=dat, model=pdf)
obj.plot(nbins=50, plot_range=(0, 10), stacked=True)
plt_dir = _make_dir_path('composed_nonextended')
plt.savefig(f'{plt_dir}/fit.png', bbox_inches='tight')
#--------------------------------
def test_composed_blind():
'''
Test of blindind of a component
'''
obs = zfit.Space('m', limits=(0, 10))
mu = zfit.Parameter("mu", 5.0, 0, 10)
sg = zfit.Parameter("sg", 1.3, 0, 5)
sig = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nsg = zfit.Parameter('nsg', 1000, 0, 10000)
esig= sig.create_extended(nsg, name = 'signal')
lm = zfit.Parameter('lm', -0.1, -1, 0)
bkg = zfit.pdf.Exponential(obs=obs, lam=lm)
nbk = zfit.Parameter('nbk', 1000, 0, 10000)
ebkg= bkg.create_extended(nbk)
pdf = zfit.pdf.SumPDF([esig, ebkg])
sam = pdf.create_sampler()
dat = sam.numpy().flatten()
dat = zfit.Data.from_numpy(obs=obs, array=dat)
nll = zfit.loss.ExtendedUnbinnedNLL(model=pdf, data=dat)
mnm = zfit.minimize.Minuit()
res = mnm.minimize(nll)
print(res)
obj = ZFitPlotter(data=dat, model=pdf, result=res)
obj.plot(nbins=50, blind=['signal', 4, 5], stacked=False, plot_range=(0, 10), ext_text='Extra text here')
# add a line to pull hist
obj.axs[1].plot([0, 10], [0, 0], linestyle='--', color='black')
plt_dir = _make_dir_path('composed_blind')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
obj.axs[0].set_yscale('log')
plt.savefig(f'{plt_dir}/fit_log.png', bbox_inches='tight')
#--------------------------------
def test_composed_ranges():
'''
Testing plot in ranges of composed PDF
'''
obs = zfit.Space('m', limits=(0, 10))
mu = zfit.Parameter('mu', 5.0, 0, 10)
sg = zfit.Parameter('sg', 1.0, 0, 5)
lm = zfit.Parameter('lm', -0.1, -1, 0)
sg.floating=False
mu.floating=False
lm.floating=False
nsg = zfit.Parameter('nsg', 5000, 0, 100000)
nbk = zfit.Parameter('nbk', 10000, 0, 100000)
bkg = zfit.pdf.Exponential(obs=obs, lam=lm)
ebkg= bkg.create_extended(nbk)
sig = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
esig= sig.create_extended(nsg)
pdf = zfit.pdf.SumPDF([ebkg, esig])
sam = pdf.create_sampler()
nsg.set_value(100)
nbk.set_value(1000)
nll_1 = zfit.loss.ExtendedUnbinnedNLL(model=pdf, data=sam, fit_range=(0, 4))
nll_2 = zfit.loss.ExtendedUnbinnedNLL(model=pdf, data=sam, fit_range=(6,10))
nll = nll_1 + nll_2
mnm = zfit.minimize.Minuit()
res = mnm.minimize(nll)
print(res)
obj = ZFitPlotter(data=sam, model=pdf, result=res)
obj.plot(nbins=50, ranges=[(0, 4), (6, 10)], stacked=False)
obj.axs[1].set_ylim(-5, 5)
plt_dir = _make_dir_path('composed_ranges')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
obj.axs[0].set_yscale('log')
plt.savefig(f'{plt_dir}/fit_log.png', bbox_inches='tight')
#--------------------------------
def test_plot_pars():
'''
Testing plotting of parameters alongside fit
'''
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.4, -5, 5)
sg = zfit.Parameter("sg", 1.3, 0, 5)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nev = zfit.Parameter('nev', 100, 0, 10000)
pdf = pdf.create_extended(nev)
dat = pdf.create_sampler(n=10000)
nll = zfit.loss.ExtendedUnbinnedNLL(model=pdf, data=dat)
mnm = zfit.minimize.Minuit()
res = mnm.minimize(nll)
plt_dir = _make_dir_path('plot_pars')
plt_path= f'{plt_dir}/fit_all.png'
obj_1=ZFitPlotter(model=pdf, data=dat, result=res)
obj_1.plot(add_pars='all')
log.info(f'Saving to: {plt_path}')
plt.savefig(f'{plt_path}')
plt_path= f'{plt_dir}/fit_some.png'
obj_2=ZFitPlotter(model=pdf, data=dat, result=res)
obj_2.plot(add_pars=['mu', 'sg'])
log.info(f'Saving to: {plt_path}')
plt.savefig(f'{plt_path}')
plt.close('all')
#--------------------------------
def test_blind():
'''
Testing blind argument
'''
obs = zfit.Space('m', limits=(-5, +5))
mu = zfit.Parameter("mu", 0.0, -5, 5)
sg = zfit.Parameter("sg", 0.5, 0, 5)
lm = zfit.Parameter("lm",-0.1, -5, 0)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nev = zfit.Parameter('nev', 10000, 0, 10000)
pdf = pdf.create_extended(nev,)
bkg= zfit.pdf.Exponential(obs=obs, lam=lm, name='expo')
nbk = zfit.Parameter('nbk', 10000, 0, 10000)
bkg = bkg.create_extended(nbk,)
pdf = zfit.pdf.SumPDF([bkg, pdf])
dat = pdf.create_sampler()
nll = zfit.loss.ExtendedUnbinnedNLL(model=pdf, data=dat)
mnm = zfit.minimize.Minuit()
res = mnm.minimize(nll)
#Fake GOF for ploting purposes
res.gof = (11, 10, 0.5)
obj = ZFitPlotter(data=dat, model=pdf, result=res)
d_leg = {'gauss': 'New Gauss'}
l_bld = ['gauss_ext', -2, +2]
#l_bld = None
obj.plot(nbins=50, d_leg=d_leg, stacked=True, blind=l_bld, plot_range=(-5, 5), ext_text='Extra text here')
# add a line to pull hist
lower, upper = dat.data_range.limit1d
obj.axs[1].plot([lower, upper], [0, 0], linestyle='--', color='black')
plt_dir = _make_dir_path('blind')
plt.savefig(f'{plt_dir}/fit_lin.png', bbox_inches='tight')
obj.axs[0].set_yscale('log')
plt.savefig(f'{plt_dir}/fit_log.png', bbox_inches='tight')
#--------------------------------
def test_show_components():
'''
Tests plot_components argument, which shows subcomponents of PDF
'''
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.0, -5, 5)
sg = zfit.Parameter("sg", 1.0, 0, 5)
sig = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg)
nsg = zfit.Parameter('nsg', 1000, 0, 10000)
sig = sig.create_extended(nsg, name='gauss')
#-----------------------------------------
lm_1 = zfit.Parameter("lm_1", -0.1, -5.0, 0)
lm_2 = zfit.Parameter("lm_2", -0.1, -5.0, 0)
fr_1 = zfit.Parameter("fr_1", 0.5, 0.0, 1)
fr_2 = zfit.Parameter("fr_2", 0.5, 0.0, 1)
bkg_1 = zfit.pdf.Exponential(lam=lm_1, obs=obs, name='ex_1')
bkg_2 = zfit.pdf.Exponential(lam=lm_2, obs=obs, name='ex_2')
bkg = zfit.pdf.SumPDF([bkg_1, bkg_2], fracs=[fr_1, fr_2])
nbk = zfit.Parameter('nbk', 1000, 0, 10000)
bkg = bkg.create_extended(nbk, name='bkg')
#-----------------------------------------
pdf = zfit.pdf.SumPDF([bkg, sig])
#-----------------------------------------
obj = ZFitPlotter(data=pdf.create_sampler(), model=pdf, result=None)
d_leg = {'gauss': 'New Gauss'}
obj.plot(stacked=True, nbins=50, d_leg=d_leg, plot_range=(-10, 10), plot_components=['bkg'], ext_text='Extra text here')
obj.axs[1].set_ylim(-5, 5)
plt_dir = _make_dir_path('show_components')
plt.savefig(f'{plt_dir}/fit.png', bbox_inches='tight')
#--------------------------------
@pytest.mark.parametrize('val, name', Data.l_arg_xerror)
def test_xerror(val : Union[float,bool], name : str):
'''
Tests xerr argument for plotter, i.e. length of error on x-axis
val : Value of xerr
name: name of plot
'''
numpy.random.seed(42)
arr = numpy.random.normal(0, 1, size=1000)
obs = zfit.Space('m', limits=(-10, 10))
mu = zfit.Parameter("mu", 0.0, -5, 5)
sg = zfit.Parameter("sg", 1.0, 0, 5)
pdf = zfit.pdf.Gauss(obs=obs, mu=mu, sigma=sg, name='gauss')
nev = zfit.Parameter('nev', 1000, 0, 10000)
pdf = pdf.create_extended(nev,)
obj = ZFitPlotter(data=arr, model=pdf, result=None)
d_leg = {'gauss': 'New Gauss'}
obj.plot(nbins=50, d_leg=d_leg, plot_range=(-10, 10), ext_text='Extra text here', xerr=val)
obj.axs[1].set_ylim(-5, 5)
plt_dir = _make_dir_path('xerr')
plt.savefig(f'{plt_dir}/{name}.png', bbox_inches='tight')
#--------------------------------