From 2b056b94585a70d6c8ed78e8fa68994c6e82226e Mon Sep 17 00:00:00 2001
From: Sourav Singh <ssouravsingh12@gmail.com>
Date: Tue, 15 May 2018 08:38:01 +0530
Subject: [PATCH] Create log_tutorial.py

---
 tutorials/intermediate/log_tutorial.py | 47 ++++++++++++++++++++++++++
 1 file changed, 47 insertions(+)
 create mode 100644 tutorials/intermediate/log_tutorial.py

diff --git a/tutorials/intermediate/log_tutorial.py b/tutorials/intermediate/log_tutorial.py
new file mode 100644
index 000000000000..6e6a841cff8f
--- /dev/null
+++ b/tutorials/intermediate/log_tutorial.py
@@ -0,0 +1,47 @@
+"""
+=================
+LogScale tutorial
+=================
+Using LogScale in matplotlib
+
+LogScale is a class for plotting a logarithmic scale on a plot. 
+Care is taken to not plot negative values. LogScale provides 
+different transformations based on the base of the logarithm-
+
+- base 10
+- base 2
+- base e
+- arbitrary base
+
+"""
+
+import numpy as np
+import matplotlib.pyplot as plt
+
+plt.subplots_adjust(hspace=0.4)
+t = np.arange(0.01, 20.0, 0.01)
+
+# log y axis
+plt.subplot(221)
+plt.semilogy(t, np.exp(-t/5.0))
+plt.title('semilogy')
+plt.grid(True)
+
+# log x axis
+plt.subplot(222)
+plt.semilogx(t, np.sin(2*np.pi*t))
+plt.title('semilogx')
+plt.grid(True)
+
+# log x and y axis
+plt.subplot(223)
+plt.loglog(t, 20*np.exp(-t/10.0), basex=2)
+plt.grid(True)
+plt.title('loglog base 2 on x')
+
+# with errorbars: clip non-positive values
+ax = plt.subplot(224)
+ax.set_xscale("log", nonposx='clip')
+ax.set_yscale("log", nonposy='clip')
+
+plt.show()