Python. Exercises. MatplotLib I

Question	Answer
Exercise 1 1. Create a figure object called fig using plt.figure() 2. Use add_axes to add an axis to the figure canvas at [0,0,1,1]. Call this new axis ax. 3. Plot (x,y) on that axes and set the labels and titles to match the plot below:	Image: Screen Shot 2018 06 13 At 17.19.30 (binary/octet-stream)
Exercise 2.1 1. Create a figure object and put two axes on it, ax1 and ax2. Located at [0,0,1,1] and [0.2,0.5,.2,.2] respectively.	Image: Screen Shot 2018 06 13 At 17.19.47 (binary/octet-stream)
Exercise 2.2 2. Now plot (x,y) on both axes. And call your figure object to show it.	Image: Screen Shot 2018 06 13 At 17.19.55 (binary/octet-stream)
Exercise 3.1 Create the plot below by adding two axes to a figure object at [0,0,1,1] and [0.2,0.5,.4,.4]	Image: Screen Shot 2018 06 13 At 17.26.33 (binary/octet-stream)
Exercise 3.2 Now use x,y, and z arrays to recreate the plot below. Notice the xlimits and y limits on the inserted plot:	Image: Screen Shot 2018 06 13 At 17.26.44 (binary/octet-stream)
Exercise 4.1 Use plt.subplots(nrows=1, ncols=2) to create the plot below.	Image: Screen Shot 2018 06 13 At 17.26.53 (binary/octet-stream)
Exercise 4.2 Now plot (x,y) and (x,z) on the axes. Play around with the linewidth and style	Image: Screen Shot 2018 06 13 At 17.27.00 (binary/octet-stream)
Exercise 4.3 See if you can resize the plot by adding the figsize() argument in plt.subplots() are copying and pasting your previous code.	Image: Screen Shot 2018 06 13 At 17.27.09 (binary/octet-stream)

Resource summary

	Created by María Marchante over 6 years ago