Best Plotting Tools to Buy in January 2026
Dunzoom 3 Pcs Marine Navigation Kit, Basic Navigation Set Include 18" Marine Parallel Ruler with Clear Scales, 8" Diameter Nautical Plotter Protractor, 6" Fixed Point Divider for Boat Accessories
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ALL-IN-ONE NAVIGATION KIT: ESSENTIAL TOOLS FOR ACCURATE MARINE JOURNEYS.
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DURABLE & PRECISE: HIGH-QUALITY MATERIALS ENSURE RELIABILITY AND VISIBILITY.
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SIMPLIFY SAILING: CONVENIENT DESIGN ENHANCES NAVIGATION SKILLS ANYWHERE.
WEEMS & PLATH Essentials Navigation Kit
- ULTRALIGHT DESIGN ENHANCES PORTABILITY FOR ON-THE-GO NAVIGATION.
- WEEMS PARALLEL PLOTTER SIMPLIFIES COURSE PLOTTING WITH PRECISION.
- NAUTICAL SLIDE RULE FOR RAPID CALCULATIONS AND EFFICIENT SAILING.
Weems & Plath #176 Marine Navigation Ultralight Divider
- DURABLE MARINE ALLOY & PLASTIC RESIST CORROSION FOR LASTING USE.
- EASY-TO-USE CENTER GEAR MECHANISM WITH SPARE PARTS INCLUDED.
- QUALITY CRAFTSMANSHIP FROM GERMANY WITH A LIFETIME WARRANTY.
Mariners Chart Plotting Tool Kit - Marine Navigation Equipment, Weems and Plath Parallel Rulers, Dividers & Accessories for Nautical Charts, Sailing and Boating Exam Preparation
- MASTER NAVIGATION WITHOUT GPS – ESSENTIAL FOR EVERY BOATER'S TOOLKIT.
- COMPLETE PLOTTING KIT – INCLUDES EVERYTHING FOR PRECISE COURSE MAPPING.
- DURABLE & PORTABLE – BUILT TO LAST FOR BOTH TRAINING AND REAL-WORLD USE.
Weems & Plath Marine Navigation Primary Navigation Set
- ULTRALIGHT COMPASS FOR PRECISE NAVIGATION AND EASY PORTABILITY.
- 12 PARALLEL RULER FOR ACCURATE DRAWINGS AND MEASUREMENTS.
- DURABLE POUCH FOR ORGANIZED STORAGE AND PROTECTION ON-THE-GO.
Saypacck Marine Navigation Slide Rule Nautical Plotter Protractor Ship Navigation Tools Course Plotter Divider
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ACHIEVE ACCURATE NAVIGATION: PLOT ROUTES WITH PRECISION ON NAUTICAL CHARTS.
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DURABLE, FLEXIBLE DESIGN: CRAFTED FOR HARSH MARINE ENVIRONMENTS, BUILT TO LAST.
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QUICK SPEED & DISTANCE CALCULATIONS: SIMPLIFY NAVIGATION EFFICIENCY AT SEA.
Weems & Plath Marine Navigation Parallel Plotter
- PRECISION NAVIGATION TOOLS FOR RELIABLE MARITIME PERFORMANCE.
- DURABLE DESIGN ENSURES LONG-LASTING USE IN TOUGH CONDITIONS.
- COMPACT SIZE FOR EASY STORAGE AND PORTABILITY ON ANY VESSEL.
Weems & Plath #317 Basic Navigation Set
- ACCURATE MEASUREMENTS WITH THE WEEMS PROTRACTOR FOR PRECISE RESULTS.
- 15-INCH PARALLEL RULE ENSURES FLAWLESS STRAIGHT LINES EVERY TIME.
- DURABLE MATTE NICKEL DIVIDER FOR PERFECT DRAFTING AND DESIGN WORK.
To create a rectangle figure in matplotlib, you can use the Rectangle class from the matplotlib.patches module. First, import the necessary modules:
import matplotlib.pyplot as plt import matplotlib.patches as patches
Then, create a Rectangle object by specifying the lower left corner coordinates, width, height, and other optional parameters:
fig, ax = plt.subplots()
rectangle = patches.Rectangle((0.1, 0.1), 0.5, 0.3, edgecolor='r', facecolor='none')
ax.add_patch(rectangle)
plt.show()
This code will create a red rectangle with a width of 0.5 and a height of 0.3, starting from the lower left corner at coordinates (0.1, 0.1). You can customize the rectangle further by changing the edge color, face color, and other properties as needed.
How to create a new figure in Matplotlib?
To create a new figure in Matplotlib, you can use the following steps:
- Import the necessary libraries:
import matplotlib.pyplot as plt
- Create a new figure using the plt.figure() function:
plt.figure()
- You can also specify the size of the new figure by providing the figsize argument in the plt.figure() function. For example, to create a figure with a size of 8x6 inches:
plt.figure(figsize=(8, 6))
- You can now start plotting on the new figure using the various plotting functions provided by Matplotlib.
plt.plot([1, 2, 3, 4], [1, 4, 9, 16]) plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('My Plot')
- Finally, you can display the figure using the plt.show() function:
plt.show()
This will create a new figure with the specified size (if provided) and plot the data on it.
What is the purpose of a rectangle in Matplotlib?
In Matplotlib, a rectangle is typically used to create a shape with four sides, where the opposite sides are equal and parallel. Rectangles can be added to plots to highlight specific regions, add emphasis to certain data points, or to create boundaries for other graphical elements. They are also commonly used for creating annotations, legends, or color bars in plots. Overall, the purpose of a rectangle in Matplotlib is to visually enhance the representation of data in plots and graphs.
What is the default background color of a rectangle in Matplotlib?
The default background color of a rectangle in Matplotlib is white.