Best Graphing Tools to Buy in October 2025
Mr. Pen Geometry Set with 6 Inch Swing Arm Protractor, Divider, Set Squares, Ruler, Compasses and Protractor, 15 Piece Set, Back to School Supplies
- COMPREHENSIVE 15-PIECE SET FOR ALL LEARNING LEVELS IN ONE POUCH.
- DESIGNED BY MATH EXPERTS, PERFECT FOR TEACHERS AND STUDENTS ALIKE.
- COMPACT AND PORTABLE-EASY TO CARRY FOR STUDIES ON THE GO!
Nicpro 21PCS Professional Drafting Tools & Geometry Set with Case, Architect Compass & Protractor Set, Metal Pencils, Pens, Scale Ruler Metal Ruler, 5 Drawing Templates for Interior House Plan Design
-
COMPLETE KIT: 15 TOOLS + TEMPLATES FOR ALL YOUR DRAFTING NEEDS!
-
DURABLE TEMPLATES: FLEXIBLE FOR ACCURATE DESIGNS ON UNEVEN SURFACES.
-
ORGANIZED STORAGE: KEEP TOOLS NEAT IN A STURDY, PORTABLE CASE!
Mr. Pen- Professional Geometry Set, 15 pcs, Geometry Kit for Artists and Students, Geometry Set, Metal Rulers and Compasses, Drawing Tools, Drafting Supplies, Drafting Set, Drafting Tools and Kits
-
COMPLETE GEOMETRY SET: TOOLS FOR STUDENTS AND PROFESSIONALS ALIKE.
-
DURABLE CASE ENSURES EASY STORAGE AND PORTABILITY FOR ON-THE-GO USE.
-
IDEAL GIFT CHOICE FOR KIDS, FRIENDS, OR ANYONE INTERESTED IN GEOMETRY!
Nicpro 22 PCS Compass Geometry Tools with Case, Drafting Tools Geometry Set with Swing Arm Protractor, Rulers, Metal Compass, Divider, Square Set, Pencil, Back to School Supplies for Students Kids
- ALL-IN-ONE SET: 3 COMPASSES, PROTRACTORS, AND DRAFTING TOOLS INCLUDED.
- HIGH-QUALITY METAL COMPASSES ENSURE PRECISION IN EVERY DRAWING TASK.
- COMPACT CASE MAKES IT EASY TO CARRY FOR SCHOOL OR PROFESSIONAL USE.
Nicpro 35PCS Art Mechanical Pencil Set, 3 PCS Metal Drafting Pencil 0.5 mm & 0.7 mm & 0.9 mm & 3 PCS 2mm Lead Holder (6B 4B 2B HB 2H 4H Colors) For Sketching Drawing With 20 Tube Lead Refills Case
- VERSATILE 35PCS SET WITH MULTIPLE PENCIL SIZES AND LEAD HARDNESS.
- ERGONOMIC DESIGN FOR COMFORTABLE, FATIGUE-FREE WRITING AND DRAWING.
- IDEAL FOR STUDENTS, ARTISTS, AND PROFESSIONALS; PERFECT GIFT OPTION!
Nicpro 20PCS Professional Geometry Set with Case, Drafting Tools with Protractor and Compass, Metal Rulers, Triangles, Pens, Pencils, Drawing Supplies, Drafting Kit for Architect Engineer Students
-
COMPLETE SET FOR PROFESSIONALS: ALL-IN-ONE SOLUTION FOR ARCHITECTS AND STUDENTS.
-
PRECISION TOOLS: HIGH-QUALITY COMPASSES AND PROTRACTOR FOR ACCURATE DESIGNS.
-
PORTABLE & ORGANIZED: DURABLE BOX KEEPS YOUR TOOLS NEAT AND ACCESSIBLE ON-THE-GO.
Jimtoiny 3D Multi-Angle Measuring Ruler, Professional 45 90 Degree Aluminum Alloy Woodworking Square Protractor, Miter Triangle Ruler, Precision Layout Measuring Tool Metric Construction Rulers
-
PREMIUM ALUMINUM ALLOY FOR DURABILITY AND EXCELLENT CORROSION RESISTANCE.
-
LASER-PRINTED MARKINGS ENSURE PRECISE, CLEAR MEASUREMENTS EVERY TIME.
-
VERSATILE TOOL IDEAL FOR DIY, WOODWORKING, ENGINEERING, AND MORE!
Mr. Pen- 6 Inch, 2 Pack, Pocket Size Ruler, Small Architectural Scale
- PRECISION MEASURING WITH DURABLE LASER-CUT PRINTS FOR ACCURACY.
- POCKET-SIZED DESIGN ENSURES PORTABILITY FOR ON-THE-GO ARCHITECTS.
- HIGH IMPACT ALUMINUM CONSTRUCTION ENSURES LONG-LASTING USE.
Akuoly Math Compasses Back-to-School Starter Geometry Kit with 2 Drafting Compasses Protractor Set Squares Ruler and More for Students Maths Study Homework, Blue Set with Carry Case
- COMPLETE GEOMETRY KIT: COMPASSES, PROTRACTOR, SET SQUARES INCLUDED!
- PORTABLE CARRY CASE FOR EASY ACCESS AND ORGANIZATION ON-THE-GO.
- IDEAL FOR STUDENTS: ESSENTIAL TOOLS FOR CLASSROOM AND HOMEWORK SUCCESS.
Angrox Geometric Drawings Templates Measuring Geometry Rulers 15 Pcs with 1 Pack File Bag for Design School Studying Office Building…
- 11 VERSATILE TEMPLATES & 4 MEASURING TOOLS FOR ALL YOUR NEEDS!
- DURABLE, CLEAR PLASTIC FOR EASY READING & LONG-LASTING USE.
- IDEAL FOR STUDENTS, ARTISTS, & PROFESSIONALS-PERFECT FOR ANY PROJECT!
To fill the area under a curve in Matplotlib, you can follow these steps:
- Import the necessary libraries:
import numpy as np import matplotlib.pyplot as plt
- Create the x and y data points for the curve:
x = np.linspace(0, 2*np.pi, 100) y = np.sin(x)
- Plot the curve using plt.plot():
plt.plot(x, y)
- Fill the area under the curve using plt.fill_between():
plt.fill_between(x, y, color='skyblue', alpha=0.4)
The color parameter specifies the color of the filled area, and the alpha parameter controls the opacity.
- Customize other aspects of the plot such as labels, title, etc.:
plt.xlabel('x') plt.ylabel('y') plt.title('Area under a curve')
- Display the plot:
plt.show()
Following these steps will allow you to create a plot with the area under the curve filled.
What is the significance of the alpha parameter in fill_between?
The alpha parameter in the fill_between function in Python is used to control the transparency of the filled area between two lines or curves.
Setting the alpha parameter allows you to adjust the visibility or opacity of the filled area. This can be useful when you want to highlight certain areas or overlap multiple filled areas without completely obscuring the underlying lines or curves.
The alpha value ranges from 0 to 1, where 0 represents complete transparency (i.e., the filled area becomes invisible) and 1 represents complete opacity (i.e., the filled area is fully visible). Setting values between 0 and 1 allows you to control the level of transparency and find the desired balance between visibility and clarity.
By adjusting the alpha parameter, you can enhance the visual presentation of data and create more visually appealing and informative plots.
What is the syntax to import the Matplotlib library?
The syntax to import the Matplotlib library in Python is as follows:
import matplotlib.pyplot as plt
Here, matplotlib is the library name, pyplot is a sub-library used for creating plots, and plt is an alias or nickname assigned to the pyplot module for convenience.
What is the purpose of the interpolate parameter in fill_between?
The interpolate parameter in the fill_between function is used to specify whether to interpolate the data between given points to create a smooth polygon for filling or to use straight lines to connect the points.
When interpolate is set to True (default), the function will interpolate the data to create a smooth curve between the given points. This is useful when the data points are not evenly spaced or if the desired fill area is not well-defined by the given points.
On the other hand, when interpolate is set to False, the function will use straight lines to connect the given points. This can be useful when the given points already form a well-defined polygon for filling or if a more angular fill area is desired.
In summary, the interpolate parameter allows the user to control the interpolation method used to create the fill area in the fill_between function.
How to fill the area between two curves using fill_between?
To fill the area between two curves using the fill_between function in Python, you can follow these steps:
- Import the necessary libraries:
import matplotlib.pyplot as plt import numpy as np
- Define the x-values for your data points along with the corresponding y-values for each curve. You can use the np.linspace() function to generate evenly spaced x-values and create corresponding y-values for each curve using some mathematical functions. For example:
x = np.linspace(0, 10, 100) y1 = np.sin(x) y2 = np.cos(x)
- Create a new figure and axis using the plt.subplots() function:
fig, ax = plt.subplots()
- Plot the two curves using the ax.plot() function:
ax.plot(x, y1, label='Curve 1') ax.plot(x, y2, label='Curve 2')
- Use the ax.fill_between() function to fill the area between the two curves:
ax.fill_between(x, y1, y2, color='gray', alpha=0.5)
Here, x is the common x-axis values, y1 and y2 are the corresponding y-axis values for the two curves. color specifies the color of the fill, and alpha determines the transparency of the fill.
- Finally, add a legend and show the plot:
ax.legend() plt.show()
With these steps, you should be able to fill the area between two curves using fill_between.
How to create a stacked area plot using fill_between?
To create a stacked area plot using fill_between in Python, you can follow these steps:
- Import the required libraries:
import matplotlib.pyplot as plt import numpy as np
- Define the data for the X-axis (common for all stacked areas) and the Y-axis values for each stacked area:
x = np.arange(0, 10, 0.1) # X-axis values y1 = np.sin(x) # Y-axis values for stacked area 1 y2 = np.cos(x) # Y-axis values for stacked area 2 y3 = np.exp(-x / 2) # Y-axis values for stacked area 3
- Calculate the cumulative sum of each Y-axis array to create the stacked area plot:
y1_stack = np.cumsum(y1) y2_stack = np.cumsum(y2) y3_stack = np.cumsum(y3)
- Create the stacked area plot using fill_between:
plt.fill_between(x, 0, y1_stack, alpha=0.5, label='Area 1') plt.fill_between(x, y1_stack, y2_stack, alpha=0.5, label='Area 2') plt.fill_between(x, y2_stack, y3_stack, alpha=0.5, label='Area 3')
- Add labels, title, and legend to the plot:
plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Stacked Area Plot') plt.legend()
- Show the plot:
plt.show()
Putting it all together, here's the complete code to create a stacked area plot using fill_between:
import matplotlib.pyplot as plt import numpy as np
x = np.arange(0, 10, 0.1) # X-axis values y1 = np.sin(x) # Y-axis values for stacked area 1 y2 = np.cos(x) # Y-axis values for stacked area 2 y3 = np.exp(-x / 2) # Y-axis values for stacked area 3
y1_stack = np.cumsum(y1) y2_stack = np.cumsum(y2) y3_stack = np.cumsum(y3)
plt.fill_between(x, 0, y1_stack, alpha=0.5, label='Area 1') plt.fill_between(x, y1_stack, y2_stack, alpha=0.5, label='Area 2') plt.fill_between(x, y2_stack, y3_stack, alpha=0.5, label='Area 3')
plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Stacked Area Plot') plt.legend() plt.show()
This code will produce a stacked area plot showing different areas in different colors, with the X-axis representing the independent variable and the Y-axis representing the cumulative sum of the values.