From d94875b02c38554fe86538fcf2622220a1666998 Mon Sep 17 00:00:00 2001 From: Thomas Cokelaer Date: Wed, 14 Sep 2022 18:45:16 +0200 Subject: [PATCH 1/3] remove utf8 --- src/fitter/fitter.py | 3 --- src/fitter/main.py | 2 -- 2 files changed, 5 deletions(-) diff --git a/src/fitter/fitter.py b/src/fitter/fitter.py index a3c0ba5..0669f7c 100644 --- a/src/fitter/fitter.py +++ b/src/fitter/fitter.py @@ -1,6 +1,3 @@ -# -*- python -*- -# -*- coding: utf-8 -*- -# # This file is part of the fitter software # # Copyright (c) 2014 diff --git a/src/fitter/main.py b/src/fitter/main.py index 0d1217b..601670a 100644 --- a/src/fitter/main.py +++ b/src/fitter/main.py @@ -1,5 +1,3 @@ -# -*- python -*- -# -*- coding: utf-8 -*- # # This file is part of the fitter software # From 3327912ae9d430a4c42b8ae412da353ef87a0dd6 Mon Sep 17 00:00:00 2001 From: Thomas Cokelaer Date: Wed, 14 Sep 2022 22:28:05 +0200 Subject: [PATCH 2/3] update to use tqdm instead of easydev/joblib --- .github/workflows/main.yml | 3 ++ README.rst | 6 +++ doc/_static/fitter_256x256.png | Bin 0 -> 106923 bytes doc/_static/fitter_64x64.png | Bin 0 -> 9540 bytes doc/_static/fitter_680x680.png | Bin 0 -> 663008 bytes doc/conf.py | 6 +-- requirements.txt | 9 ++--- src/fitter/fitter.py | 66 ++++++++++++--------------------- src/fitter/histfit.py | 30 +++------------ src/fitter/main.py | 14 ++++--- test/test_main.py | 5 ++- 11 files changed, 57 insertions(+), 82 deletions(-) create mode 100644 doc/_static/fitter_256x256.png create mode 100644 doc/_static/fitter_64x64.png create mode 100644 doc/_static/fitter_680x680.png diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml index 9a51b51..49fba1e 100644 --- a/.github/workflows/main.yml +++ b/.github/workflows/main.yml @@ -6,6 +6,8 @@ on: - main pull_request: branches-ignore: [] + schedule: + - cron: '0 0 * * SUN' jobs: build-linux: @@ -14,6 +16,7 @@ jobs: max-parallel: 5 matrix: python: [3.6, 3.7, 3.8, 3.9] + fail-fast: false steps: - uses: actions/checkout@v2 diff --git a/README.rst b/README.rst index 1199f6c..a494957 100644 --- a/README.rst +++ b/README.rst @@ -22,6 +22,10 @@ FITTER documentation Compatible with Python 3.6, 3.7, and 3.8, 3.9 +.. image:: https://raw.githubusercontent.com/cokelaer/fitter/main/doc/_static/fitter_256x256.png + :target: https://raw.githubusercontent.com/cokelaer/fitter/main/doc/_static/fitter_256x256.png + + What is it ? ################ @@ -102,6 +106,8 @@ Changelog ========= ========================================================================== Version Description ========= ========================================================================== +1.5.0 * removed easydev and replaced by tqdm for progress bar + * progressbar from tqdm also allows replacement of joblib need 1.4.1 * Update timeout in docs from 10 to 30 seconds by @mpadge in https://github.com/cokelaer/fitter/pull/47 * Add Kolmogorov-Smirnov goodness-of-fit statistic by @lahdjirayhan in diff --git a/doc/_static/fitter_256x256.png 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zvXH8{t~#m1$ceSGuQKC3As;vj(LkylsW(pFPyG5r`82bqp+1B7q2BIUUnT^ zK2hA}kUpeq72idXiX&X(UNO66C_AK9hTVS$f1V!69(~i8s7nA;9> zvnvPB+F=S&KT8tq)TZiA&!Wa8YsEJH$_A=0.18 +numpy pandas -click -joblib +scipy>=0.18 +tqdm diff --git a/src/fitter/fitter.py b/src/fitter/fitter.py index 0669f7c..8d00cb0 100644 --- a/src/fitter/fitter.py +++ b/src/fitter/fitter.py @@ -1,6 +1,6 @@ # This file is part of the fitter software # -# Copyright (c) 2014 +# Copyright (c) 2014-2022 # # File author(s): Thomas Cokelaer # @@ -27,8 +27,7 @@ import pandas as pd import pylab import scipy.stats -from easydev import Progress -from joblib import Parallel, delayed +from tqdm import tqdm from scipy.stats import entropy as kl_div, kstest logger = logging.getLogger(__name__) @@ -199,7 +198,7 @@ def _init(self): self._ks_stat = {} self._ks_pval = {} self._fit_i = 0 # fit progress - self.pb = None + #self.pb = None def _update_data_pdf(self): # histogram retuns X with N+1 values. So, we rearrange the X output into only N @@ -207,9 +206,7 @@ def _update_data_pdf(self): self.x = [(this + self.x[i + 1]) / 2.0 for i, this in enumerate(self.x[0:-1])] def _trim_data(self): - self._data = self._alldata[ - np.logical_and(self._alldata >= self._xmin, self._alldata <= self._xmax) - ] + self._data = self._alldata[np.logical_and(self._alldata >= self._xmin, self._alldata <= self._xmax)] def _get_xmin(self): return self._xmin @@ -223,9 +220,7 @@ def _set_xmin(self, value): self._trim_data() self._update_data_pdf() - xmin = property( - _get_xmin, _set_xmin, doc="consider only data above xmin. reset if None" - ) + xmin = property(_get_xmin, _set_xmin, doc="consider only data above xmin. reset if None") def _get_xmax(self): return self._xmax @@ -239,9 +234,7 @@ def _set_xmax(self, value): self._trim_data() self._update_data_pdf() - xmax = property( - _get_xmax, _set_xmax, doc="consider only data below xmax. reset if None " - ) + xmax = property(_get_xmax, _set_xmax, doc="consider only data below xmax. reset if None ") def _load_all_distributions(self): """Replace the :attr:`distributions` attribute with all scipy distributions""" @@ -263,7 +256,7 @@ def hist(self): _ = pylab.hist(self._data, bins=self.bins, density=self._density) pylab.grid(True) - def _fit_single_distribution(self, distribution, progress: bool): + def _fit_single_distribution(self, distribution): try: # need a subprocess to check time it takes. If too long, skip it dist = eval("scipy.stats." + distribution) @@ -300,9 +293,7 @@ def _fit_single_distribution(self, distribution, progress: bool): dist_fitted = dist(*param) ks_stat, ks_pval = kstest(self._data, dist_fitted.cdf) - logging.info( - "Fitted {} distribution with error={})".format(distribution, sq_error) - ) + logging.info("Fitted {} distribution with error={})".format(distribution, sq_error)) # compute some errors now self._fitted_errors[distribution] = sq_error @@ -312,21 +303,17 @@ def _fit_single_distribution(self, distribution, progress: bool): self._ks_stat[distribution] = ks_stat self._ks_pval[distribution] = ks_pval except Exception: # pragma: no cover - logging.warning( - "SKIPPED {} distribution (taking more than {} seconds)".format( - distribution, self.timeout - ) - ) + logging.warning("SKIPPED {} distribution (taking more than {} seconds)".format(distribution, self.timeout)) # if we cannot compute the error, set it to large values self._fitted_errors[distribution] = np.inf self._aic[distribution] = np.inf self._bic[distribution] = np.inf self._kldiv[distribution] = np.inf - if progress: - self._fit_i += 1 - self.pb.animate(self._fit_i) + #if srogress: + # self._fit_i += 1 + # #self.pb.animate(self._fit_i) - def fit(self, amp=1, progress=False, n_jobs=-1): + def fit(self, progress=False, n_jobs=-1): r"""Loop over distributions and find best parameter to fit the data for each When a distribution is fitted onto the data, we populate a set of @@ -344,15 +331,14 @@ def fit(self, amp=1, progress=False, n_jobs=-1): warnings.filterwarnings("ignore", category=RuntimeWarning) - if progress: - self.pb = Progress(len(self.distributions)) + from tqdm.contrib.concurrent import thread_map + + result = thread_map(self._fit_single_distribution, self.distributions, max_workers=4, disable=not progress) + + #jobs = (delayed(self._fit_single_distribution)(dist, progress) for dist in self.distributions) + #pool = Parallel(n_jobs=n_jobs, backend="threading") + #_ = pool(jobs) - jobs = ( - delayed(self._fit_single_distribution)(dist, progress) - for dist in self.distributions - ) - pool = Parallel(n_jobs=n_jobs, backend="threading") - _ = pool(jobs) self.df_errors = pd.DataFrame( { "sumsquare_error": self._fitted_errors, @@ -360,7 +346,7 @@ def fit(self, amp=1, progress=False, n_jobs=-1): "bic": self._bic, "kl_div": self._kldiv, "ks_statistic": self._ks_stat, - "ks_pvalue": self._ks_pval + "ks_pvalue": self._ks_pval, } ) @@ -406,11 +392,7 @@ def get_best(self, method="sumsquare_error"): name = self.df_errors.sort_values(method).iloc[0].name params = self.fitted_param[name] distribution = getattr(scipy.stats, name) - param_names = ( - (distribution.shapes + ", loc, scale").split(", ") - if distribution.shapes - else ["loc", "scale"] - ) + param_names = (distribution.shapes + ", loc, scale").split(", ") if distribution.shapes else ["loc", "scale"] param_dict = {} for d_key, d_val in zip(param_names, params): @@ -463,9 +445,7 @@ def suicide(self): # pragma: no cover ended_at = datetime.now() diff = ended_at - started_at - if ( - it.exc_info[0] is not None - ): # pragma: no cover ; if there were any exceptions + if it.exc_info[0] is not None: # pragma: no cover ; if there were any exceptions a, b, c = it.exc_info raise Exception(a, b, c) # communicate that to caller diff --git a/src/fitter/histfit.py b/src/fitter/histfit.py index 5c56eb7..163d1c3 100644 --- a/src/fitter/histfit.py +++ b/src/fitter/histfit.py @@ -84,9 +84,7 @@ def __init__(self, data=None, X=None, Y=None, bins=None): self.N = len(self.X) self.guess_mean = self.X[int(self.N / 2)] - self.guess_std = sqrt(sum((self.X - mean(self.X)) ** 2) / self.N) / ( - sqrt(2 * 3.14) - ) + self.guess_std = sqrt(sum((self.X - mean(self.X)) ** 2) / self.N) / (sqrt(2 * 3.14)) self.guess_amp = 1.0 self.func = self._func_normal @@ -112,16 +110,10 @@ def fit( # 5% error on the data to add errors self.E = [scipy.stats.norm.rvs(0, error_rate) for y in self.Y] # [scipy.stats.norm.rvs(0, self.std_data * error_rate) for x in range(self.N)] - self.result = scipy.optimize.least_squares( - self.func, (self.guess_mean, self.guess_std, self.guess_amp) - ) + self.result = scipy.optimize.least_squares(self.func, (self.guess_mean, self.guess_std, self.guess_amp)) mu, sigma, amplitude = self.result["x"] - pylab.plot( - self.X, - amplitude * scipy.stats.norm.pdf(self.X, mu, sigma), - **error_kwargs - ) + pylab.plot(self.X, amplitude * scipy.stats.norm.pdf(self.X, mu, sigma), **error_kwargs) self.sigmas.append(sigma) self.amplitudes.append(amplitude) self.mus.append(mu) @@ -131,11 +123,7 @@ def fit( self.amplitude = mean(self.amplitudes) self.mu = mean(self.mus) - pylab.plot( - self.X, - self.amplitude * scipy.stats.norm.pdf(self.X, self.mu, self.sigma), - **fit_kwargs - ) + pylab.plot(self.X, self.amplitude * scipy.stats.norm.pdf(self.X, self.mu, self.sigma), **fit_kwargs) if semilogy: pylab.semilogy() pylab.grid() @@ -150,11 +138,7 @@ def fit( pylab.fill_between(self.X, M - S, M + S, color="gray", alpha=0.5) # pylab.plot(self.X, M-S, color="k") # pylab.plot(self.X, M+S, color="k") - pylab.plot( - self.X, - self.amplitude * scipy.stats.norm.pdf(self.X, self.mu, self.sigma), - **fit_kwargs - ) + pylab.plot(self.X, self.amplitude * scipy.stats.norm.pdf(self.X, self.mu, self.sigma), **fit_kwargs) pylab.grid() return self.mu, self.sigma, self.amplitude @@ -162,6 +146,4 @@ def fit( def _func_normal(self, param): # amplitude is supposed to be 1./(np.sqrt(2*np.pi)*sigma)* if normalised mu, sigma, A = param - return sum( - (A * scipy.stats.norm.pdf(self.X, mu, sigma) - (self.Y + self.E)) ** 2 - ) + return sum((A * scipy.stats.norm.pdf(self.X, mu, sigma) - (self.Y + self.E)) ** 2) diff --git a/src/fitter/main.py b/src/fitter/main.py index 601670a..d50f48f 100644 --- a/src/fitter/main.py +++ b/src/fitter/main.py @@ -42,18 +42,14 @@ def main(): # pragma: no cover @main.command() @click.argument("filename", type=click.STRING) @click.option("--column-number", type=click.INT, default=1) -@click.option( - "--delimiter", type=click.STRING, default=",", help="look at the first column" -) +@click.option("--delimiter", type=click.STRING, default=",", help="look at the first column") @click.option( "--distributions", type=click.STRING, default="gamma,beta", help="llist of distribution", ) -@click.option( - "--tag", type=click.STRING, default="fitter", help="tag to name output files" -) +@click.option("--tag", type=click.STRING, default="fitter", help="tag to name output files") @click.option("--progress/--no-progress", default=True) @click.option("--verbose/--no-verbose", default=True) def fitdist(**kwargs): @@ -94,6 +90,12 @@ def fitdist(**kwargs): with open("{}.log".format(tag), "w") as fout: fout.write(msg) +@main.command() +def show_distributions(**kwargs): + from fitter import get_distributions + print("\n".join(get_distributions())) + + if __name__ == "__main__": # pragma: no cover main() diff --git a/test/test_main.py b/test/test_main.py index 34ae7d8..72579f2 100644 --- a/test/test_main.py +++ b/test/test_main.py @@ -1,9 +1,9 @@ import pytest from pathlib import Path -from easydev import TempFile import subprocess from scipy import stats from fitter.main import fitdist +from fitter.main import show_distributions @pytest.fixture def setup_teardown(): @@ -37,3 +37,6 @@ def test_main_app(setup_teardown): results = runner.invoke(fitdist, ['test.csv', "--progress", "--column-number", 1]) assert results.exit_code == 0 + + results = runner.invoke(show_distributions, []) + assert results.exit_code == 0 From b66ddd7725159dc5fbe7c50a157e586f9b7e3364 Mon Sep 17 00:00:00 2001 From: Thomas Cokelaer Date: Wed, 14 Sep 2022 22:46:39 +0200 Subject: [PATCH 3/3] remove colorlog import; not used --- src/fitter/main.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/fitter/main.py b/src/fitter/main.py index d50f48f..219dd91 100644 --- a/src/fitter/main.py +++ b/src/fitter/main.py @@ -19,7 +19,6 @@ import glob import json import sys -import colorlog import textwrap import subprocess import click