fix scale with width

Author: kp992

lectures/about_py.md

@@ -416,13 +416,13 @@ The most popular and comprehensive Python library for creating figures and graph
 Example 2D plot with embedded LaTeX annotations
 
 ```{figure} /_static/lecture_specific/about_py/qs.png
-:scale: 75
+:width: 75%
 ```
 
 Example contour plot
 
 ```{figure} /_static/lecture_specific/about_py/bn_density1.png
-:scale: 70
+:width: 70%
 ```
 
 Example 3D plot

lectures/getting_started.md

@@ -367,7 +367,7 @@ You will spend a lot of time debugging code, so it is important to [learn how to
 If you are using a newer version of Jupyter, you should see a bug icon on the right end of the toolbar.
 
 ```{figure} /_static/lecture_specific/getting_started/debug.png
-:scale: 80%
+:width: 80%
 :figclass: auto
 ```
 

lectures/matplotlib.md

@@ -451,7 +451,7 @@ Place all the curves in the same figure.
 The output should look like this
 
 ```{figure} /_static/lecture_specific/matplotlib/matplotlib_ex1.png
-:scale: 130
+:width: 130%
 ```
 
 ```{exercise-end}

lectures/pandas.md

@@ -35,7 +35,7 @@ of fields such as data science and machine learning.
 Here's a popularity comparison over time against Matlab and STATA courtesy of Stack Overflow Trends
 
 ```{figure} /_static/lecture_specific/pandas/pandas_vs_rest.png
-:scale: 100
+:width: 100%
 ```
 
 Just as [NumPy](http://www.numpy.org/) provides the basic array data type plus core array operations, pandas
@@ -674,7 +674,7 @@ ticker = read_data(ticker_list)
 Complete the program to plot the result as a bar graph like this one:
 
 ```{figure} /_static/lecture_specific/pandas/pandas_share_prices.png
-:scale: 80
+:width: 80%
 ```
 
 ```{exercise-end}
@@ -740,7 +740,7 @@ indices_list = {'^GSPC': 'S&P 500',
 Complete the program to show summary statistics and plot the result as a time series graph like this one:
 
 ```{figure} /_static/lecture_specific/pandas/pandas_indices_pctchange.png
-:scale: 80
+:width: 80%
 ```
 
 ```{exercise-end}

lectures/parallelization.md

@@ -133,7 +133,7 @@ Now, let's look at the output of the htop system monitor on our machine while
 this code is running:
 
 ```{figure} /_static/lecture_specific/parallelization/htop_parallel_npmat.png
-:scale: 80
+:width: 80%
 ```
 
 We can see that 4 of the 8 CPUs are running at full speed.

lectures/python_by_example.md

@@ -36,7 +36,7 @@ process $\epsilon_0, \epsilon_1, \ldots, \epsilon_T$, where each draw $\epsilon_
 In other words, we want to generate figures that look something like this:
 
 ```{figure} /_static/lecture_specific/python_by_example/test_program_1_updated.png
-:scale: 120
+:width: 120%
 ```
 
 (Here $t$ is on the horizontal axis and $\epsilon_t$ is on the