Logo ROOT  
Reference Guide
Loading...
Searching...
No Matches
hist015_TH1_read_and_draw_uhi.py File Reference
Variables  hist015_TH1_read_and_draw_uhi.alpha  hist015_TH1_read_and_draw_uhi.ax  hist015_TH1_read_and_draw_uhi.ax1 = mpl_fig.add_subplot(gs[0:2, 0])  hist015_TH1_read_and_draw_uhi.ax2 = mpl_fig.add_subplot(gs[0:2, 1], projection="3d")  hist015_TH1_read_and_draw_uhi.ax3 = mpl_fig.add_subplot(gs[2, :])  hist015_TH1_read_and_draw_uhi.bbox  hist015_TH1_read_and_draw_uhi.color  hist015_TH1_read_and_draw_uhi.dx = np.full_like(x, hpx.GetBinWidth(1) * 0.9)  hist015_TH1_read_and_draw_uhi.dy = np.full_like(x, 0.2)  hist015_TH1_read_and_draw_uhi.dz = hpx.values()  hist015_TH1_read_and_draw_uhi.edgecolor  hist015_TH1_read_and_draw_uhi.entries = int(hpx.GetEntries())  hist015_TH1_read_and_draw_uhi.example = TFile("py-hsimple.root")  hist015_TH1_read_and_draw_uhi.fontsize  hist015_TH1_read_and_draw_uhi.fontweight  hist015_TH1_read_and_draw_uhi.gs = mpl_fig.add_gridspec(3, 2, height_ratios=[1.5, 1.5, 1.5])  hist015_TH1_read_and_draw_uhi.histtype  hist015_TH1_read_and_draw_uhi.hpx = gROOT.FindObject("hpx") str hist015_TH1_read_and_draw_uhi.info_text = f"Entries = {entries}\nMean = {mean:.5f}\nStd Dev = {std_dev:.3f}"  hist015_TH1_read_and_draw_uhi.linewidth  hist015_TH1_read_and_draw_uhi.mean = hpx.GetMean()  hist015_TH1_read_and_draw_uhi.mpl_fig = plt.figure(figsize=(14, 12))  hist015_TH1_read_and_draw_uhi.std_dev = hpx.GetStdDev()  hist015_TH1_read_and_draw_uhi.transform  hist015_TH1_read_and_draw_uhi.verticalalignment  hist015_TH1_read_and_draw_uhi.x = np.array([hpx.GetBinCenter(i) for i in range(1, hpx.GetNbinsX() + 1)])  hist015_TH1_read_and_draw_uhi.y = np.zeros_like(x)  hist015_TH1_read_and_draw_uhi.z = np.zeros_like(x)

Detailed Description

View in nbviewer Open in SWAN
A Simple histogram drawing example.

ü␕`b␅

import matplotlib.pyplot as plt
import mplhep as hep
import numpy as np
import ROOT
from ROOT import TFile, gROOT
mpl_fig = plt.figure(figsize=(14, 12))
gs = mpl_fig.add_gridspec(3, 2, height_ratios=[1.5, 1.5, 1.5])
# We connect the ROOT file generated in the hsimple.py tutorial
example = TFile("py-hsimple.root")
example.ls()
# Draw histogram hpx in first pad.
hpx = gROOT.FindObject("hpx")
# Get the statistics
entries = int(hpx.GetEntries())
mean = hpx.GetMean()
std_dev = hpx.GetStdDev()
info_text = f"Entries = {entries}\nMean = {mean:.5f}\nStd Dev = {std_dev:.3f}"
ax1 = mpl_fig.add_subplot(gs[0:2, 0])
ax1.set_facecolor("#FFFDD0C8")
hep.histplot(hpx, ax=ax1, histtype="fill", color="#EEAC91", alpha=0.5, edgecolor="blue", linewidth=1.5)
ax1.text(
0.65,
0.95,
info_text,
transform=ax1.transAxes,
verticalalignment="top",
fontsize=10,
bbox=dict(boxstyle="round,pad=0.3", facecolor="white", alpha=0.7),
)
# Draw hpx as an interactive lego.
ax2 = mpl_fig.add_subplot(gs[0:2, 1], projection="3d")
ax2.set_facecolor("#FFFDD0C8")
x = np.array([hpx.GetBinCenter(i) for i in range(1, hpx.GetNbinsX() + 1)])
y = np.zeros_like(x)
z = np.zeros_like(x)
dz = hpx.values()
dx = np.full_like(x, hpx.GetBinWidth(1) * 0.9)
dy = np.full_like(x, 0.2)
ax2.bar3d(x, y, z, dx, dy, dz, color="#EEAC91", edgecolor="darkblue", alpha=0.85)
ax2.text2D(
0.55,
0.85,
info_text,
transform=ax2.transAxes,
fontsize=10,
bbox=dict(boxstyle="round,pad=0.3", facecolor="white", alpha=0.7),
)
# Draw hpx with its errors and a marker.
ax3 = mpl_fig.add_subplot(gs[2, :])
ax3.set_facecolor("#FFFDD0C8")
hep.histplot(hpx, ax=ax3, histtype="errorbar", color="darkblue")
ax3.grid(True)
ax3.text(
0.90,
0.95,
info_text,
transform=ax3.transAxes,
verticalalignment="top",
fontsize=10,
bbox=dict(boxstyle="round,pad=0.3", facecolor="white", alpha=0.7),
)
mpl_fig.suptitle("Drawing options for one dimensional histograms", fontsize=14, fontweight="bold")
plt.show()
if example.IsOpen():
example.Close()
A file, usually with extension .root, that stores data and code in the form of serialized objects in ...
Definition TFile.h:130
Date
July 2025
Author
Wim Lavrijsen, Nursena Bitirgen

Definition in file hist015_TH1_read_and_draw_uhi.py.