Best Plotting Tools to Buy in September 2026

1

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

• ALL-IN-ONE NAVIGATION KIT: ESSENTIAL TOOLS FOR CONFIDENT MARINE JOURNEYS.
• DURABLE & ACCURATE: CRAFTED FOR LONGEVITY WITH CRYSTAL-CLEAR READINGS.
• USER-FRIENDLY DESIGN: EASY TO USE FOR PRECISE NAVIGATION ANYTIME, ANYWHERE.

BUY & SAVE

$36.99

2

3 Pcs Marine Navigation Kit, Nautical Chart Plotting Tool Set with Single Hand Divider, Navigation Ruler and Protractor, Drafting Supplies for Boating, Sailing, Seafaring

• ALL-IN-ONE MARINE KIT FOR SAFER, SMOOTHER NAVIGATION ON EVERY VOYAGE.

• CLEAR SCALES ENSURE PRECISE MEASUREMENTS FOR EFFICIENT CHART PLOTTING.

• TIME-SAVING TOOLS FOR STABLE PLOTTING AND EASY COURSE ADJUSTMENTS.

BUY & SAVE

$25.98 $29.98

Save 13%

3

Motipuns 3 Pcs Marine Navigation Set, Parallel Ruler Protractor Divider

• COMPLETE KIT FOR ALL YOUR NAVIGATION NEEDS IN ONE CONVENIENT PACKAGE!
• PRECISION TOOLS DESIGNED FOR CLARITY AND DURABILITY-NAVIGATE WITH EASE.
• PRACTICE SKILLS ANYTIME, IDEAL FOR SEA EXERCISES OR ONBOARD TASKS!

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$32.99

4

QWORK Parallel Ruler with Clear Markings, 12 in Navigation Plotting Tool, Clear Scale Nautical Plotter, Mapping Points to Pull Parallel Ruler

• PROTRACTOR & RULER IN ONE: SIMPLIFIES MARINE NAVIGATION TASKS EFFORTLESSLY.
• DURABLE DESIGN: CLEAR ACRYLIC & ALUMINUM ENSURE LONG-LASTING PROFESSIONALISM.
• HIGH PRECISION MARKINGS: ENSURES ACCURATE CHARTING FOR RELIABLE NAVIGATION.

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$12.97

5

Weems & Plath #176 Marine Navigation Ultralight Divider

• DURABLE 7 DESIGN WITH CORROSION-RESISTANT MATERIALS.
• COMPLETE SET: SPARE POINTS, KNOB, WHEEL, AND LEAD INCLUDED.
• TRUSTED GERMAN ENGINEERING WITH A LIMITED LIFETIME WARRANTY.

BUY & SAVE

$31.63

6

2pcs Chart Drawing Triangle Ruler, 11.81in Course Triangle Positioning Triangle Boat Architectural Stationery Navigation Plotting Kit for Training Purposes Maritime

• DURABLE ACRYLIC DESIGN: BUILT TO LAST, ENSURING LONG-TERM USE AND RELIABILITY.

• PRECISE ENGRAVED SCALES: EASY-TO-READ MARKINGS FOR ACCURATE MEASUREMENTS EVERY TIME.

• EFFORTLESS NAVIGATION TOOL: QUICK, SINGLE-HANDED OPERATION BOOSTS YOUR PRODUCTIVITY!

BUY & SAVE

$17.62

7

Weems & Plath Essentials Navigation Kit (#318)

• ULTRALIGHT DIVIDER/COMPASS FOR PRECISION AND PORTABILITY.
• WEEMS PARALLEL PLOTTER FOR ACCURATE NAVIGATION AND EASE OF USE.
• NAUTICAL SLIDE RULE SIMPLIFIES COMPLEX CALCULATIONS EFFICIENTLY.

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$108.00

8

Liquidraw Marine Navigation Set of 6 | Universal Nautical Protractor Set Squares with 8" Solid Brass Divider, Pencil, Eraser & Canvas Pouch | Sailing, Chart Plotting & Course Measuring Tools

• COMPLETE KIT FOR NAVIGATION: ALL ESSENTIAL TOOLS FOR SAILING IN ONE SET!

• PRECISION CHART PLOTTING: ENSURE ACCURATE NAVIGATION WITH OUR PROTRACTORS.

• PORTABLE & ORGANIZED: CANVAS POUCH KEEPS TOOLS SAFE ON-THE-GO.

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$19.99

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To plot two lists of tuples with Matplotlib, you can first unpack the tuples into two separate lists of x and y coordinates. Then, you can use Matplotlib's plt.plot() function to plot the points on a graph. Make sure to import matplotlib.pyplot as plt at the beginning of your code. You can also customize the appearance of the plot by adding labels, titles, and formatting options. Finally, call plt.show() to display the plot.

What is the syntax for plotting multiple lists of tuples with matplotlib?

To plot multiple lists of tuples with matplotlib, you can use the plot function multiple times within the same axes object. Here is an example of the syntax:

import matplotlib.pyplot as plt

Define the lists of tuples

list1 = [(1, 2), (2, 3), (3, 4)] list2 = [(1, 3), (2, 4), (3, 5)]

Extract x and y values from the lists of tuples

x1, y1 = zip(*list1) x2, y2 = zip(*list2)

Plot the data

plt.plot(x1, y1, label='List 1') plt.plot(x2, y2, label='List 2')

Add labels and legend

plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.legend()

Show the plot

plt.show()

In this example, we first define two lists of tuples list1 and list2. We then extract the x and y values from each list using the zip function. Finally, we plot each set of data using the plot function, providing labels for each dataset, adding axes labels, and displaying a legend. The show function is used to display the plot.

How to plot two lists of tuples with matplotlib?

To plot two lists of tuples with matplotlib, you can follow these steps:

1. Import the necessary libraries:

import matplotlib.pyplot as plt

1. Create your two lists of tuples with x and y coordinates:

list_1 = [(1, 2), (2, 3), (3, 4), (4, 5)] list_2 = [(1, 5), (2, 4), (3, 3), (4, 2)]

1. Extract the x and y coordinates from each list of tuples:

x1, y1 = zip(*list_1) x2, y2 = zip(*list_2)

1. Plot the data using matplotlib:

plt.plot(x1, y1, label='List 1') plt.plot(x2, y2, label='List 2') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.legend() plt.show()

This code will plot two lines, one for each list of tuples, with the x-axis representing the x coordinates and the y-axis representing the y coordinates. The label parameter in plt.plot function is used to differentiate between the two lines in the legend.

How to add labels to a matplotlib plot?

To add labels to a matplotlib plot, you can use the xlabel() and ylabel() functions from the plt object. Here's how you can do it:

1. Import the necessary libraries:

import matplotlib.pyplot as plt

1. Create a sample plot:

x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35]

plt.plot(x, y)

1. Add labels to the plot:

plt.xlabel('X-axis Label') plt.ylabel('Y-axis Label')

1. Show the plot:

plt.show()

By following these steps, you should be able to add labels to a matplotlib plot.

How to create a 3D plot with matplotlib?

To create a 3D plot using matplotlib, you can use the Axes3D class from the mpl_toolkits.mplot3d module. Here's an example code snippet to demonstrate how to create a simple 3D plot with matplotlib:

import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np

Create some data

x = np.linspace(-5, 5, 100) y = np.linspace(-5, 5, 100) X, Y = np.meshgrid(x, y) Z = np.sin(np.sqrt(X**2 + Y**2))

Create a 3D plot

fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.plot_surface(X, Y, Z, cmap='viridis')

Set labels and title

ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Z') ax.set_title('3D Plot')

plt.show()

This code creates a surface plot of the function z = sin(sqrt(x**2 + y**2)) in a 3D space. You can customize the plot further by changing parameters like the colormap, labels, and title. Make sure to have the mpl_toolkits.mplot3d package installed in order to use the Axes3D class.