DIP2-cheatsheet.md

@@ -31,8 +31,8 @@ ones_array = np.ones((rows, cols), dtype = np.uint64)
 
 - Other usefull stuff
 ```python
-np.arange(10,25,step=5) # evenly spaced values
-np.linspace(0,2,num=9, dtype) # evenly spaced values
+np.arange(10,25,step=5) # evenly spaced values. Specify the stepsize
+np.linspace(0,2,num=9, dtype) # evenly spaced values. Specify the number of values
 np.eye(2, dtype) # 2x2 identity matrix
 np.random.random((2,2)) # 2x2 array with random [0..1) values
 np.random.randint(low, high, (2, 2)) # 2x2 array with random integers from [low, high[ (w/o high!)
@@ -131,13 +131,13 @@ def log_transformation(img):
 ```
 
 ## Plotting
-Importing
+### Setup
 ```python
 from matplotlib import pyplot as plt
 # set up plot
 ...
 plt.title=("Title")
-plt.xlabel=("X-axis")
+plt.xlabel=("x_label")
 plt.ylabel=("y_label")
 plt.show()
 ```