From 8fc08cce902de74652ac9892e3d6b73075e1c9fd Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Fri, 26 Aug 2022 20:52:41 +1000
Subject: [PATCH 01/21] update stylesheet

---
 lectures/matplotlib.md | 45 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 45 insertions(+)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 051c8c83..45a6d0c6 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -268,6 +268,51 @@ The custom `subplots` function
 1. makes the desired customizations to `ax`, and
 1. passes the `fig, ax` pair back to the calling code.
 
+### Style Sheets
+
+Another useful feature in Matplotlib is [style sheet](https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html).
+
+We can use style sheets to create plots with uniform styles.
+
+We can find a list of available style sheets by printing the attribute `plt.style.available`.
+
+
+```{code-cell} python3
+print(plt.style.available)
+```
+
+Let's apply some of them to different types of visualizations
+
+```{code-cell} python3
+
+# Use four different style sheets
+styles = ['seaborn', 'grayscale', 'ggplot', 'dark_background']
+
+for i in range(4):
+
+    # Set style sheet
+    plt.style.use(styles[i])
+
+    fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(10, 3))
+    x = np.linspace(-12, 12, 150)
+    current_label = f'$\mu = {m:.2}$'
+
+    for j in range(3):
+        m, s = uniform(-10, 10), uniform(1, 2)
+        y = norm.pdf(x, loc=m, scale=s)
+        rnormX = norm.rvs(loc=m, scale=s, size=150)
+        rnormY = norm.rvs(loc=m, scale=s, size=150)
+        axes[0].plot(x, y, linewidth=3)
+        axes[1].plot(rnormX, rnormY, ls='none', marker='o')
+        axes[2].hist(rnormX)
+        axes[3].plot(x, rnormY, linewidth=2)
+
+    plt.title(f'Style: {styles[i]}', fontsize=11)
+
+plt.show()
+
+```
+
 ## Further Reading
 
 * The [Matplotlib gallery](http://matplotlib.org/gallery.html) provides many examples.

From d9a98959c17cf45433cd4fe862b57e70176dee82 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Fri, 26 Aug 2022 21:15:55 +1000
Subject: [PATCH 02/21] adding link for creating new style sheet

---
 lectures/matplotlib.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 45a6d0c6..d8e5134e 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -281,7 +281,7 @@ We can find a list of available style sheets by printing the attribute `plt.styl
 print(plt.style.available)
 ```
 
-Let's apply some of them to different types of visualizations
+Let's apply some of them to different types of graphs
 
 ```{code-cell} python3
 
@@ -313,6 +313,8 @@ plt.show()
 
 ```
 
+We can also create [our own style sheet](https://matplotlib.org/stable/tutorials/introductory/customizing.html#defining-your-own-style).
+
 ## Further Reading
 
 * The [Matplotlib gallery](http://matplotlib.org/gallery.html) provides many examples.

From baee44c33685fc9e705e173d43877d2ff398946d Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Fri, 26 Aug 2022 21:19:45 +1000
Subject: [PATCH 03/21] fix a full stop

---
 lectures/matplotlib.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index d8e5134e..33651d51 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -274,7 +274,7 @@ Another useful feature in Matplotlib is [style sheet](https://matplotlib.org/sta
 
 We can use style sheets to create plots with uniform styles.
 
-We can find a list of available style sheets by printing the attribute `plt.style.available`.
+We can find a list of available style sheets by printing the attribute `plt.style.available`
 
 
 ```{code-cell} python3

From 6f0eead85410d96c7d7c1eda2f730a1d1a6ca6ec Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Fri, 26 Aug 2022 21:22:08 +1000
Subject: [PATCH 04/21] increase the width of the graph

---
 lectures/matplotlib.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 33651d51..d778a754 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -293,8 +293,8 @@ for i in range(4):
     # Set style sheet
     plt.style.use(styles[i])
 
-    fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(10, 3))
-    x = np.linspace(-12, 12, 150)
+    fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(13, 3))
+    x = np.linspace(-13, 13, 150)
     current_label = f'$\mu = {m:.2}$'
 
     for j in range(3):

From 57a764e79c435e4ccecf8a053150d1db3f85c70e Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Fri, 26 Aug 2022 21:33:01 +1000
Subject: [PATCH 05/21] update DIY sentence

---
 lectures/matplotlib.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index d778a754..a64911d5 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -313,7 +313,7 @@ plt.show()
 
 ```
 
-We can also create [our own style sheet](https://matplotlib.org/stable/tutorials/introductory/customizing.html#defining-your-own-style).
+If you are interested, you can also create [our own style sheet](https://matplotlib.org/stable/tutorials/introductory/customizing.html#defining-your-own-style).
 
 ## Further Reading
 

From 165d45050e49b610528470e4640e7454a52e4aa1 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Fri, 26 Aug 2022 21:44:52 +1000
Subject: [PATCH 06/21] fix typo

---
 lectures/matplotlib.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index a64911d5..17d6b0d3 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -270,7 +270,7 @@ The custom `subplots` function
 
 ### Style Sheets
 
-Another useful feature in Matplotlib is [style sheet](https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html).
+Another useful feature in Matplotlib is [style sheets](https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html).
 
 We can use style sheets to create plots with uniform styles.
 
@@ -313,7 +313,7 @@ plt.show()
 
 ```
 
-If you are interested, you can also create [our own style sheet](https://matplotlib.org/stable/tutorials/introductory/customizing.html#defining-your-own-style).
+If you are interested, you can also create [our own style sheets](https://matplotlib.org/stable/tutorials/introductory/customizing.html#defining-your-own-style).
 
 ## Further Reading
 

From 0e3b083ef6e7af57862edf30d2f9784dda70d93d Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Fri, 26 Aug 2022 21:48:12 +1000
Subject: [PATCH 07/21] adding alpha

---
 lectures/matplotlib.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 17d6b0d3..927ad128 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -302,10 +302,10 @@ for i in range(4):
         y = norm.pdf(x, loc=m, scale=s)
         rnormX = norm.rvs(loc=m, scale=s, size=150)
         rnormY = norm.rvs(loc=m, scale=s, size=150)
-        axes[0].plot(x, y, linewidth=3)
-        axes[1].plot(rnormX, rnormY, ls='none', marker='o')
-        axes[2].hist(rnormX)
-        axes[3].plot(x, rnormY, linewidth=2)
+        axes[0].plot(x, y, linewidth=3, alpha = 0.7)
+        axes[1].plot(rnormX, rnormY, ls='none', marker='o', alpha = 0.7)
+        axes[2].hist(rnormX, alpha = 0.7)
+        axes[3].plot(x, rnormY, linewidth=2, alpha = 0.7)
 
     plt.title(f'Style: {styles[i]}', fontsize=11)
 

From 6d6be0e025fadf752dcd9561c28445d32aaeef33 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Mon, 29 Aug 2022 12:07:43 +1000
Subject: [PATCH 08/21] center title and change size

---
 lectures/matplotlib.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 927ad128..0f7c0b8f 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -293,7 +293,7 @@ for i in range(4):
     # Set style sheet
     plt.style.use(styles[i])
 
-    fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(13, 3))
+    fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(10, 3))
     x = np.linspace(-13, 13, 150)
     current_label = f'$\mu = {m:.2}$'
 
@@ -307,7 +307,7 @@ for i in range(4):
         axes[2].hist(rnormX, alpha = 0.7)
         axes[3].plot(x, rnormY, linewidth=2, alpha = 0.7)
 
-    plt.title(f'Style: {styles[i]}', fontsize=11)
+    plt.suptitle(f'Style: {styles[i]}', fontsize=13)
 
 plt.show()
 

From c414fe493bc8732e6059b389acc2fcc078976fb8 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Mon, 29 Aug 2022 15:48:03 +1000
Subject: [PATCH 09/21] add function and seed

---
 lectures/matplotlib.md | 53 +++++++++++++++++++++++++++++++-----------
 1 file changed, 40 insertions(+), 13 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 0f7c0b8f..7e34bd6d 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -281,39 +281,66 @@ We can find a list of available style sheets by printing the attribute `plt.styl
 print(plt.style.available)
 ```
 
-Let's apply some of them to different types of graphs
+let's write a function that draws different types of graphs with a given style sheet
 
-```{code-cell} python3
+We can use `plt.style.use` function to set style sheet.
 
-# Use four different style sheets
-styles = ['seaborn', 'grayscale', 'ggplot', 'dark_background']
+```{code-cell} python3
+import random
 
-for i in range(4):
+def draw_graphs(style = 'default'):
 
-    # Set style sheet
-    plt.style.use(styles[i])
+    # Setting a style sheet
+    plt.style.use(style)
 
     fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(10, 3))
     x = np.linspace(-13, 13, 150)
-    current_label = f'$\mu = {m:.2}$'
 
-    for j in range(3):
+    # Set seed values to replicate results of random draws
+    random.seed(1)
+    np.random.seed(1)
+
+    for i in range(3):
+
+        # Draw mean and standard deviation from uniform distributions
         m, s = uniform(-10, 10), uniform(1, 2)
+
+        # Generate a normal density plot
         y = norm.pdf(x, loc=m, scale=s)
+        axes[0].plot(x, y, linewidth=3, alpha = 0.7)
+
+        # create a scatter plot with random X and Y values 
+        # from normal distributions
         rnormX = norm.rvs(loc=m, scale=s, size=150)
         rnormY = norm.rvs(loc=m, scale=s, size=150)
-        axes[0].plot(x, y, linewidth=3, alpha = 0.7)
         axes[1].plot(rnormX, rnormY, ls='none', marker='o', alpha = 0.7)
+
+        # a histogram with random X
         axes[2].hist(rnormX, alpha = 0.7)
+
+        # and a line graph with random Y
         axes[3].plot(x, rnormY, linewidth=2, alpha = 0.7)
 
-    plt.suptitle(f'Style: {styles[i]}', fontsize=13)
+    plt.suptitle(f'Style: {style}', fontsize=13)
+    plt.show()
 
-plt.show()
+```
+
+Let's see what some of the styles look like
+
+```{code-cell} python3
+
+# Use four different style sheets
+draw_graphs(style = 'seaborn')
+draw_graphs(style = 'grayscale')
+draw_graphs(style = 'ggplot')
+draw_graphs(style = 'dark_background')
 
 ```
 
-If you are interested, you can also create [our own style sheets](https://matplotlib.org/stable/tutorials/introductory/customizing.html#defining-your-own-style).
+You can use the function to experiment with more styles.
+
+If you are interested, you can even create [our own style sheets](https://matplotlib.org/stable/tutorials/introductory/customizing.html#defining-your-own-style).
 
 ## Further Reading
 

From 4f3f1417f8b6f95133ecde0a3a684add7ab6af89 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Mon, 29 Aug 2022 18:55:57 +1000
Subject: [PATCH 10/21] update based on review

---
 lectures/matplotlib.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 7e34bd6d..08af5386 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -281,7 +281,7 @@ We can find a list of available style sheets by printing the attribute `plt.styl
 print(plt.style.available)
 ```
 
-let's write a function that draws different types of graphs with a given style sheet
+Let's write a function that draws different types of graphs with a given style sheet
 
 We can use `plt.style.use` function to set style sheet.
 
@@ -298,7 +298,6 @@ def draw_graphs(style = 'default'):
 
     # Set seed values to replicate results of random draws
     random.seed(1)
-    np.random.seed(1)
 
     for i in range(3):
 
@@ -332,8 +331,11 @@ Let's see what some of the styles look like
 
 # Use four different style sheets
 draw_graphs(style = 'seaborn')
+
 draw_graphs(style = 'grayscale')
+
 draw_graphs(style = 'ggplot')
+
 draw_graphs(style = 'dark_background')
 
 ```

From 0ff8ef407fb5ac1452454ea0cefd9fce36fb7aa4 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Mon, 29 Aug 2022 19:07:27 +1000
Subject: [PATCH 11/21] fix typo

---
 lectures/matplotlib.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 08af5386..53e1ab01 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -280,11 +280,10 @@ We can find a list of available style sheets by printing the attribute `plt.styl
 ```{code-cell} python3
 print(plt.style.available)
 ```
+We can also use the `plt.style.use()` method to set style sheet.
 
 Let's write a function that draws different types of graphs with a given style sheet
 
-We can use `plt.style.use` function to set style sheet.
-
 ```{code-cell} python3
 import random
 

From 6271666464cbf51c577a2b04762ff690c2500c46 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Mon, 29 Aug 2022 19:10:05 +1000
Subject: [PATCH 12/21] fix typos

---
 lectures/matplotlib.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 53e1ab01..4f3e2a0d 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -307,16 +307,16 @@ def draw_graphs(style = 'default'):
         y = norm.pdf(x, loc=m, scale=s)
         axes[0].plot(x, y, linewidth=3, alpha = 0.7)
 
-        # create a scatter plot with random X and Y values 
+        # Create a scatter plot with random X and Y values 
         # from normal distributions
         rnormX = norm.rvs(loc=m, scale=s, size=150)
         rnormY = norm.rvs(loc=m, scale=s, size=150)
         axes[1].plot(rnormX, rnormY, ls='none', marker='o', alpha = 0.7)
 
-        # a histogram with random X
+        # a histogram with X
         axes[2].hist(rnormX, alpha = 0.7)
 
-        # and a line graph with random Y
+        # and a line graph with Y
         axes[3].plot(x, rnormY, linewidth=2, alpha = 0.7)
 
     plt.suptitle(f'Style: {style}', fontsize=13)

From 3095ff0fea4d8f4dfe286df17999e2fbbf08ed56 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Mon, 29 Aug 2022 19:14:47 +1000
Subject: [PATCH 13/21] fix spacing

---
 lectures/matplotlib.md | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 4f3e2a0d..b8563ce6 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -287,7 +287,7 @@ Let's write a function that draws different types of graphs with a given style s
 ```{code-cell} python3
 import random
 
-def draw_graphs(style = 'default'):
+def draw_graphs(style='default'):
 
     # Setting a style sheet
     plt.style.use(style)
@@ -305,7 +305,7 @@ def draw_graphs(style = 'default'):
 
         # Generate a normal density plot
         y = norm.pdf(x, loc=m, scale=s)
-        axes[0].plot(x, y, linewidth=3, alpha = 0.7)
+        axes[0].plot(x, y, linewidth=3, alpha=0.7)
 
         # Create a scatter plot with random X and Y values 
         # from normal distributions
@@ -314,10 +314,10 @@ def draw_graphs(style = 'default'):
         axes[1].plot(rnormX, rnormY, ls='none', marker='o', alpha = 0.7)
 
         # a histogram with X
-        axes[2].hist(rnormX, alpha = 0.7)
+        axes[2].hist(rnormX, alpha=0.7)
 
         # and a line graph with Y
-        axes[3].plot(x, rnormY, linewidth=2, alpha = 0.7)
+        axes[3].plot(x, rnormY, linewidth=2, alpha=0.7)
 
     plt.suptitle(f'Style: {style}', fontsize=13)
     plt.show()
@@ -329,13 +329,14 @@ Let's see what some of the styles look like
 ```{code-cell} python3
 
 # Use four different style sheets
-draw_graphs(style = 'seaborn')
 
-draw_graphs(style = 'grayscale')
+draw_graphs(style='seaborn')
 
-draw_graphs(style = 'ggplot')
+draw_graphs(style='grayscale')
 
-draw_graphs(style = 'dark_background')
+draw_graphs(style='ggplot')
+
+draw_graphs(style='dark_background')
 
 ```
 

From 73a2d373f72f59f0178956597b684c5574285689 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Mon, 29 Aug 2022 19:37:27 +1000
Subject: [PATCH 14/21] update parameters and np.random

---
 lectures/matplotlib.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index b8563ce6..bac6e38e 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -285,7 +285,6 @@ We can also use the `plt.style.use()` method to set style sheet.
 Let's write a function that draws different types of graphs with a given style sheet
 
 ```{code-cell} python3
-import random
 
 def draw_graphs(style='default'):
 
@@ -296,12 +295,12 @@ def draw_graphs(style='default'):
     x = np.linspace(-13, 13, 150)
 
     # Set seed values to replicate results of random draws
-    random.seed(1)
+    np.random.seed(9)
 
     for i in range(3):
 
         # Draw mean and standard deviation from uniform distributions
-        m, s = uniform(-10, 10), uniform(1, 2)
+        m, s = np.random.uniform(-8, 8), np.random.uniform(2, 2.5)
 
         # Generate a normal density plot
         y = norm.pdf(x, loc=m, scale=s)

From 77113cd334ea407c8a94db4522a4628eb8c98e95 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Mon, 29 Aug 2022 19:39:12 +1000
Subject: [PATCH 15/21] fix typo

---
 lectures/matplotlib.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index bac6e38e..26bc0d87 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -310,7 +310,7 @@ def draw_graphs(style='default'):
         # from normal distributions
         rnormX = norm.rvs(loc=m, scale=s, size=150)
         rnormY = norm.rvs(loc=m, scale=s, size=150)
-        axes[1].plot(rnormX, rnormY, ls='none', marker='o', alpha = 0.7)
+        axes[1].plot(rnormX, rnormY, ls='none', marker='o', alpha=0.7)
 
         # a histogram with X
         axes[2].hist(rnormX, alpha=0.7)

From 263842239e6cd2e1d6924b11b2672ce6b674f532 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Mon, 29 Aug 2022 19:40:55 +1000
Subject: [PATCH 16/21] remove spacing

---
 lectures/matplotlib.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 26bc0d87..836fa58c 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -328,7 +328,6 @@ Let's see what some of the styles look like
 ```{code-cell} python3
 
 # Use four different style sheets
-
 draw_graphs(style='seaborn')
 
 draw_graphs(style='grayscale')

From c549829664c08505498210722dcdc97bb327e114 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Tue, 30 Aug 2022 09:04:58 +1000
Subject: [PATCH 17/21] seperate cells

---
 lectures/matplotlib.md | 19 +++++++++++++++----
 1 file changed, 15 insertions(+), 4 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 836fa58c..f8c763f5 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -323,19 +323,30 @@ def draw_graphs(style='default'):
 
 ```
 
-Let's see what some of the styles look like
+Let's see what some of the styles look like.
 
-```{code-cell} python3
+First, we draw graphs with the style sheet `seaborn`
 
-# Use four different style sheets
+```{code-cell} python3
 draw_graphs(style='seaborn')
+```
 
+Then, we can use `grayscale` to remove colors
+
+```{code-cell} python3
 draw_graphs(style='grayscale')
+```
 
+Here is what `ggplot` looks like
+
+```{code-cell} python3
 draw_graphs(style='ggplot')
+```
 
-draw_graphs(style='dark_background')
+We can also use the style `dark_background`
 
+```{code-cell} python3
+draw_graphs(style='dark_background')
 ```
 
 You can use the function to experiment with more styles.

From 9c7470f225619120ae60278950d690886ce0ca57 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Tue, 30 Aug 2022 09:52:14 +1000
Subject: [PATCH 18/21] fix typo

---
 lectures/matplotlib.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index f8c763f5..33545f15 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -280,7 +280,7 @@ We can find a list of available style sheets by printing the attribute `plt.styl
 ```{code-cell} python3
 print(plt.style.available)
 ```
-We can also use the `plt.style.use()` method to set style sheet.
+We can also use the `plt.style.use()` method to set the style sheet.
 
 Let's write a function that draws different types of graphs with a given style sheet
 

From 02744e5408619b2acd539d360cfce3c148fdb6f9 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Tue, 30 Aug 2022 17:05:02 +1000
Subject: [PATCH 19/21] change wording

---
 lectures/matplotlib.md | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 33545f15..b431b4c2 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -274,15 +274,16 @@ Another useful feature in Matplotlib is [style sheets](https://matplotlib.org/st
 
 We can use style sheets to create plots with uniform styles.
 
-We can find a list of available style sheets by printing the attribute `plt.style.available`
+We can find a list of available styles by printing the attribute `plt.style.available`
 
 
 ```{code-cell} python3
 print(plt.style.available)
 ```
-We can also use the `plt.style.use()` method to set the style sheet.
 
-Let's write a function that draws different types of graphs with a given style sheet
+We can now use the `plt.style.use()` method to set the style sheet.
+
+Let's write a function that takes the name of a style sheet and draws different plots with the style
 
 ```{code-cell} python3
 
@@ -312,10 +313,10 @@ def draw_graphs(style='default'):
         rnormY = norm.rvs(loc=m, scale=s, size=150)
         axes[1].plot(rnormX, rnormY, ls='none', marker='o', alpha=0.7)
 
-        # a histogram with X
+        # Create a histogram with random X values
         axes[2].hist(rnormX, alpha=0.7)
 
-        # and a line graph with Y
+        # and a line graph with random Y values
         axes[3].plot(x, rnormY, linewidth=2, alpha=0.7)
 
     plt.suptitle(f'Style: {style}', fontsize=13)
@@ -331,7 +332,7 @@ First, we draw graphs with the style sheet `seaborn`
 draw_graphs(style='seaborn')
 ```
 
-Then, we can use `grayscale` to remove colors
+We can use `grayscale` to remove colors in plots
 
 ```{code-cell} python3
 draw_graphs(style='grayscale')
@@ -349,9 +350,9 @@ We can also use the style `dark_background`
 draw_graphs(style='dark_background')
 ```
 
-You can use the function to experiment with more styles.
+You can use the function to experiment with other styles in the list.
 
-If you are interested, you can even create [our own style sheets](https://matplotlib.org/stable/tutorials/introductory/customizing.html#defining-your-own-style).
+If you are interested, you can even create [your own style sheets](https://matplotlib.org/stable/tutorials/introductory/customizing.html#defining-your-own-style).
 
 ## Further Reading
 

From cecfe5da132b4b8e72d30ea75535ebec4a279d66 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Tue, 30 Aug 2022 17:38:47 +1000
Subject: [PATCH 20/21] change typo

---
 lectures/matplotlib.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index b431b4c2..61608a8b 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -283,7 +283,7 @@ print(plt.style.available)
 
 We can now use the `plt.style.use()` method to set the style sheet.
 
-Let's write a function that takes the name of a style sheet and draws different plots with the style
+Let's write a function that takes the name of a style sheet and draws different plots with the same style
 
 ```{code-cell} python3
 

From d69d73574453aacfbbb3179897e473153b2369a9 Mon Sep 17 00:00:00 2001
From: Humphrey Yang <u6474961@anu.edu.au>
Date: Tue, 30 Aug 2022 17:39:38 +1000
Subject: [PATCH 21/21] Revert "change typo"

This reverts commit cecfe5da132b4b8e72d30ea75535ebec4a279d66.
---
 lectures/matplotlib.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lectures/matplotlib.md b/lectures/matplotlib.md
index 61608a8b..b431b4c2 100644
--- a/lectures/matplotlib.md
+++ b/lectures/matplotlib.md
@@ -283,7 +283,7 @@ print(plt.style.available)
 
 We can now use the `plt.style.use()` method to set the style sheet.
 
-Let's write a function that takes the name of a style sheet and draws different plots with the same style
+Let's write a function that takes the name of a style sheet and draws different plots with the style
 
 ```{code-cell} python3