Rcparams for global defaults in Matplotlib - Time & Space Complexity
We want to understand how changing global settings in matplotlib affects the time it takes to create plots.
Specifically, how does setting global defaults with rcParams impact performance as we make more plots?
Analyze the time complexity of the following code snippet.
import matplotlib.pyplot as plt
plt.rcParams['lines.linewidth'] = 2
plt.rcParams['axes.titlesize'] = 'large'
for i in range(n):
plt.plot([1, 2, 3], [i, i+1, i+2])
plt.title(f'Plot {i}')
plt.show()
This code sets global style defaults once, then creates and shows n plots using those defaults.
Identify the loops, recursion, array traversals that repeat.
- Primary operation: Loop creating and displaying n plots.
- How many times: n times, once per plot.
Each plot creation and display takes roughly the same time, so total time grows as we add more plots.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | 10 plot creations and displays |
| 100 | 100 plot creations and displays |
| 1000 | 1000 plot creations and displays |
Pattern observation: The total work grows linearly as the number of plots increases.
Time Complexity: O(n)
This means the time to run the code grows in direct proportion to the number of plots created.
[X] Wrong: "Setting rcParams inside the loop will not affect performance."
[OK] Correct: Changing rcParams inside the loop repeats the global setting step each time, adding extra work and slowing down the process.
Understanding how global settings affect repeated operations helps you write efficient plotting code and shows you can think about performance in real tasks.
"What if we set rcParams inside the loop before each plot? How would the time complexity change?"
Practice
rcParams in matplotlib?Solution
Step 1: Understand what rcParams controls
rcParams is a dictionary-like object in matplotlib that stores default settings for plot styles.Step 2: Identify the purpose of setting rcParams
Setting rcParams changes the default appearance of all plots globally, so you don't have to style each plot individually.Final Answer:
To set global style defaults for all plots -> Option AQuick Check:
rcParams = global style defaults [OK]
- Thinking rcParams creates plots
- Confusing rcParams with saving files
- Believing rcParams imports data
Solution
Step 1: Recall the exact rcParams key for figure size
The correct key is 'figure.figsize', which expects a tuple for width and height.Step 2: Check the syntax for assignment
Assigning a tuple like (8, 6) to plt.rcParams['figure.figsize'] sets the default figure size.Final Answer:
plt.rcParams['figure.figsize'] = (8, 6) -> Option DQuick Check:
Key 'figure.figsize' = correct syntax [OK]
- Using wrong key names like 'figsize' or 'figure.size'
- Assigning a list instead of a tuple
- Forgetting to import matplotlib.pyplot as plt
import matplotlib.pyplot as plt plt.rcParams['lines.linewidth'] = 3 print(plt.rcParams['lines.linewidth'])
Solution
Step 1: Understand the code effect on rcParams
The code sets 'lines.linewidth' to 3, changing the default line width globally.Step 2: Check the printed value
After setting, printing plt.rcParams['lines.linewidth'] outputs 3, confirming the change.Final Answer:
3 -> Option CQuick Check:
Set then print 'lines.linewidth' = 3 [OK]
- Expecting default 1 without setting
- Confusing linewidth with linestyle
- Thinking print causes error
import matplotlib.pyplot as plt plt.rcParams['font.size'] = 'large'
Solution
Step 1: Check the key correctness
'font.size' is the correct rcParams key for font size.Step 2: Validate the value type
The value must be a number (int or float), not a string like 'large'.Final Answer:
The value should be a number, not a string -> Option BQuick Check:
font.size value must be numeric [OK]
- Using string values for numeric rcParams keys
- Assuming rcParams keys are case-insensitive
- Forgetting to import matplotlib.pyplot
Solution
Step 1: Identify the rcParams key for plot background
'axes.facecolor' sets the background color inside the plot area, so set it to 'black' for dark background.Step 2: Identify the rcParams key for grid line color
'grid.color' controls the color of grid lines; setting it to 'white' makes them visible on a dark background.Final Answer:
plt.rcParams['axes.facecolor'] = 'black'; plt.rcParams['grid.color'] = 'white' -> Option AQuick Check:
Dark background + white grid = axes.facecolor black, grid.color white [OK]
- Changing figure.facecolor instead of axes.facecolor
- Setting grid color to black on black background
- Confusing axes and figure color keys
Ready to prove it?
Pass the test and this pattern moves unknown
