To turn off messages like:
Info in <TCanvas::Print>: png file my_plot.png has been created
add in:
gErrorIgnoreLevel = kWarning| def plot_two_hists(var, df1, df2, title1, title2, xlabel, ylabel, **kwargs): | |
| """function to make 2 side-by-side hists to compare 2 dataframes""" | |
| fig2, ax2 = plt.subplots(nrows=1, ncols=2) | |
| fig2.set_size_inches(24, 8) | |
| plt.subplots_adjust(wspace=0.2) | |
| df1[var].plot(kind="hist", ax=ax2[0], title=title1, **kwargs) | |
| ax2[0].set_xlabel(xlabel) | |
| ax2[0].set_ylabel(ylabel) |
| #!/usr/bin/env python | |
| """ | |
| Example ways to access tree elements, to test relative performance | |
| """ | |
| import ROOT | |
| from array import array | |
| # import cProfile |
| #!/usr/bin/env python | |
| """ | |
| Script to check whether samples are at a T2 (fully). | |
| Run by doing: | |
| ./check_sample_status.py | |
| For each dataset in SAMPLES, will print out the sample in red with a 'x' | |
| if not fully at any T2. | |
| If it is fully present at atleast 1 T2, then it will print in green with a 'v'. |
To turn off messages like:
Info in <TCanvas::Print>: png file my_plot.png has been created
add in:
gErrorIgnoreLevel = kWarning| #!/usr/bin/env python | |
| """ | |
| Example ways to access tree elements, to test relative performance | |
| """ | |
| import ROOT | |
| from array import array | |
| # import cProfile |
| #include "TFile.h" | |
| #include "TTree.h" | |
| #include "TH1F.h" | |
| #include "TH2F.h" | |
| #include <iostream> | |
| #include <math.h> | |
| #include <vector> | |
| #include <string> | |
| //#include "L1AnalysisEventDataFormat.h" |
| class CustomFormatter(argparse.ArgumentDefaultsHelpFormatter, argparse.RawDescriptionHelpFormatter): | |
| pass | |
| parser = argparse.ArgumentParser(description='test\ntest\ntest.', | |
| epilog='test\ntest\ntest.', | |
| formatter_class=CustomFormatter) |
| #!/usr/bin/env python | |
| """ | |
| Go through TeX files and count words, plot things. | |
| TODO: | |
| - only count commits where tex file changed? | |
| """ | |
| from copy import deepcopy | |
| from contextlib import contextmanager | |
| import pandas as pd | |
| import numpy as np | |
| import matplotlib as mpl | |
| from matplotlib.pyplot import cm | |
| import matplotlib.pyplot as plt | |
| import matplotlib.patches as patches | |
| from matplotlib.colors import LogNorm, Normalize |
| import os | |
| from copy import deepcopy | |
| from contextlib import contextmanager | |
| # Global bool to turn on/off plot saving for all plots in notebook | |
| SAVE_PLOTS = True | |
| def save_plot(filename): |