Best Excel Data Manipulation Tools to Buy in November 2025

1

Excel Blades Fit Grip Craft Knife With #11 Ultra-Sharp Carbon Steel Angled Blade – Precision Craft Knife With Contoured Rubberized Grip For DIY, Art, Hobby, And Model Projects – Black, Made In The USA

• PRECISION CUTS: ACHIEVE METICULOUS, CONSISTENT CUTS FOR ANY PROJECT.
• COMFORT GRIP: ERGONOMIC DESIGN ENHANCES CONTROL AND REDUCES FATIGUE.
• VERSATILE TOOL: PERFECT FOR VINYL, PAPER, AND CRAFT PROJECTS OF ALL KINDS.

BUY & SAVE

$8.10

2

Excel Blades 3-Inch Adjustable Plastic Bar Clamps Set – 6-Pack Mini Woodworking Clamps and Spreaders for Model Building, Crafts, and DIY Woodworking Projects – Inch-Marked Side Beams – Made in USA

• VERSATILE 3-INCH CLAMPS FOR WOODWORKING, CRAFTS, AND MODEL BUILDING.

• QUICK-RELEASE DESIGN FOR FAST ADJUSTMENTS AND PRECISION HOLDING.

• LIGHTWEIGHT, DURABLE, AND MADE IN THE USA FOR RELIABLE PERFORMANCE.

BUY & SAVE

$12.92

3

Excel Blades 6-Inch Metal Mitre Box Set – Aluminum & Steel Precision Cutting Tool with K5 Handle & Razor Pull Saw for Wood, Plastic & Soft Metals – 45° & 90° Cutting Angles, Made in USA

• ELEVATE YOUR DIY PROJECTS WITH PRECISE CUTS USING OUR MITER BOX SET.
• DURABLE ALUMINUM AND CARBON STEEL ENSURE LONG-LASTING PERFORMANCE.
• TRUSTED BY EXPERTS, BUILT FOR ACCURACY IN EVERY INTRICATE TASK.

BUY & SAVE

$17.96 $25.91

Save 31%

4

Excel Blades Craftsmen Set, 13-Piece Precision Craft Knife Set With Case – Includes Light To Heavy Duty Handles And Assorted Blades For Crafting, Scrapbooking, DIY, And Precision Cutting

• VERSATILE FOR ALL CRAFTS: PERFECT FOR HOBBYISTS, ARTISTS, AND PROFESSIONALS.

• PRECISION CUTTING TOOLS: 13 HIGH-CARBON BLADES FOR DETAILED PROJECTS.

• SECURE & ERGONOMIC DESIGN: STURDY GRIP WITH SAFETY FEATURES FOR EASE OF USE.

BUY & SAVE

$23.37 $27.68

Save 16%

5

Excel Cheat Sheet Desk Pad - Mouse Pad - Excel Cheat Sheet Desk Mat, Non-Slip Base Mousepad Suitable for Office, Computer Games, Desk Mat and More (1, 11.8" x 9.84")

• UPGRADED SMOOTH FABRIC FOR ENHANCED COMFORT AND USABILITY.
• DURABLE NON-SLIP RUBBER BACKING KEEPS MAT SECURELY IN PLACE.
• DOUBLE-SIDED, PRECISION-STITCHED EDGES FOR LONG-LASTING QUALITY.

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$3.89 $5.99

Save 35%

6

Excel Blades K4 Swivel Craft Knife with #64 Rotating Blade – Precision Hobby Knife for Carving & Crafting Supplies Precision Cutting Tool – Lightweight Aluminum Handle – Made in the USA

• HYPER ACCURATE CUTTING FOR FLAWLESS ART & CRAFT CREATIONS!
• VERSATILE TOOL FOR VINYL, CLAY, LEATHER, AND PAPER PROJECTS.
• ERGONOMIC GRIP ENSURES CONTROL AND COMFORT WITH EVERY CUT!

BUY & SAVE

$7.78

7

Excel Blades K71 Fingertip Craft Knife – 7-Inch Ergonomic Hobby Knife with Finger Loop – Precision Cutting Tool for Paper, Vinyl, Foam, and Stencils – Includes #11 Blade and Safety Cap – Pink

• ERGONOMIC DESIGN ENSURES COMFORT, REDUCING HAND FATIGUE FOR PRECISION.

• DURABLE CARBON STEEL BLADE PROVIDES LONG-LASTING SHARPNESS AND CUTS.

• VERSATILE FOR VARIOUS CRAFTS, ENHANCING CREATIVITY IN DIY PROJECTS.

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$6.81

8

Excel Blades K71 Fingertip Craft Knife – 7-Inch Ergonomic Hobby Knife with Finger Loop – Precision Cutting Tool for Paper, Vinyl, Foam, and Stencils – Includes #11 Blade and Safety Cap – Teal Green

• PRECISION CUTTING: IDEAL FOR PROFESSIONALS AND HOBBYISTS ALIKE.

• ERGONOMIC DESIGN: SCULPTED FINGER-LOOP FOR MAXIMUM COMFORT AND CONTROL.

• VERSATILE TOOL: PERFECT FOR PAPER, WOOD, LEATHER, AND MORE PROJECTS.

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$6.81

9

Excel Blades Scratch Awl, .060" Stainless Steel Tip Hobby Punch for Flooding, Vinyl Air Release Tool for Vinyl Crafts, Car Wrapping, Weeding, Scribe, Layout Work and Piercing Wood

• PRECISION TOOL FOR ART: ESSENTIAL FOR VINYL WRAPPING AND AIR BUBBLE REMOVAL.

• DURABLE CARBON STEEL TIP: ENSURES SHARPNESS FOR EFFICIENT, PRECISE TASKS.

• PORTABLE AND VERSATILE: COMPACT DESIGN FOR ON-THE-GO CRAFTING AND VARIOUS USES.

BUY & SAVE

$6.30

10

Excel Blades Pounce Wheel Set – Stainless Steel Fabric Tracing, Perforating, Cutting, Sewing, Quilting & Embossing Tool – Set of 3 Assorted Sizes – Made in USA

• PRECISION DESIGN FOR FLAWLESS TRACING & EMBOSSING EVERY TIME!

• LIGHTWEIGHT GRIP ENSURES COMFORT & CONTROL FOR ALL-DAY USE!

• VERSATILE TOOL PERFECT FOR CRAFTS, SEWING, MODELING & MORE!

BUY & SAVE

$21.69

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ONE MORE?

To exclude future dates from an Excel data file using pandas, you can read the Excel file into a pandas DataFrame and then filter out rows where the date is greater than the current date. You can use the pd.to_datetime function to convert the date column to datetime format and then use boolean indexing to select only those rows where the date is less than or equal to the current date. Finally, you can save the filtered DataFrame back to an Excel file.

How to filter out future dates from excel file with pandas?

You can filter out future dates from an Excel file using pandas by following these steps:

1. Read the Excel file into a pandas DataFrame using the read_excel function.

import pandas as pd

df = pd.read_excel('file.xlsx')

1. Convert the date column to a datetime format using the pd.to_datetime function.

df['date_column'] = pd.to_datetime(df['date_column'])

1. Filter out future dates by comparing the date column with the current date and selecting only the rows where the date is less than or equal to the current date.

current_date = pd.Timestamp('today').normalize() filtered_df = df[df['date_column'] <= current_date]

1. Save the filtered DataFrame to a new Excel file using the to_excel function.

filtered_df.to_excel('filtered_file.xlsx', index=False)

This will create a new Excel file with only the rows that have a date earlier than or equal to the current date.

What is the accurate way to exclude future dates from excel data in pandas?

To exclude future dates from Excel data in pandas, you can use the datetime module to compare the date column with the current date. Here is an example code to exclude future dates:

import pandas as pd from datetime import date

Read the Excel data into a DataFrame

df = pd.read_excel('data.xlsx')

Convert the date column to datetime format

df['Date'] = pd.to_datetime(df['Date'])

Get the current date

current_date = date.today()

Exclude future dates from the DataFrame

df = df[df['Date'] <= current_date]

Print the filtered DataFrame

print(df)

In this code snippet, we first read the Excel data into a DataFrame. Then we convert the date column to datetime format using pd.to_datetime(). We get the current date using date.today(). Finally, we filter the DataFrame by comparing the date column with the current date and keep only the rows where the date is less than or equal to the current date.

What is the syntax to exclude future dates from pandas dataframe?

To exclude future dates from a pandas dataframe, you can use the following syntax:

import pandas as pd from datetime import datetime

Assuming you have a dataframe df with a column 'date' containing datetime objects

Convert 'date' column to datetime format

df['date'] = pd.to_datetime(df['date'])

Get current date

current_date = datetime.now().date()

Exclude future dates from the dataframe

df = df[df['date'].dt.date <= current_date]

Print the filtered dataframe

print(df)

In this syntax, we first convert the 'date' column to datetime format using pd.to_datetime(). Then, we get the current date using datetime.now().date() and filter out any rows where the 'date' is greater than the current date. Finally, we print the filtered dataframe.

How to remove dates in the future from excel data with pandas?

You can remove dates in the future from Excel data using the Pandas library in Python by following these steps:

1. Import the necessary libraries:

import pandas as pd import datetime

1. Load the Excel data into a Pandas DataFrame:

df = pd.read_excel('your_excel_file.xlsx')

1. Convert the date columns to datetime format:

df['date_column'] = pd.to_datetime(df['date_column'])

1. Filter out the dates in the future:

today = datetime.datetime.now().date() df = df[df['date_column'].dt.date <= today]

1. Save the filtered data back to an Excel file:

df.to_excel('filtered_excel_file.xlsx', index=False)

By following these steps, you can successfully remove dates in the future from your Excel data using Pandas in Python.