Users report that while both Python xlrd and pandas are effective for data manipulation, pandas shines with its extensive functionality for data analysis, particularly with its DataFrame structure, which allows for more complex operations compared to xlrd's more limited capabilities.
Reviewers mention that pandas has a steeper learning curve due to its vast array of features, but once mastered, it offers superior performance in handling large datasets, whereas xlrd is praised for its simplicity and ease of use for basic Excel file reading tasks.
G2 users highlight that pandas provides better support for various data formats beyond Excel, such as CSV and JSON, making it a more versatile tool for data scientists, while xlrd is specifically tailored for reading Excel files, which can limit its applicability in broader data workflows.
Users on G2 report that the community support for pandas is significantly stronger, with a wealth of tutorials and documentation available, whereas xlrd users mention that they often struggle to find resources and support for more advanced use cases.
Reviewers say that pandas' integration with other libraries like NumPy and Matplotlib enhances its functionality for data visualization and numerical analysis, a feature that xlrd lacks, making pandas a more comprehensive choice for data analysis projects.
Users say that while xlrd is sufficient for straightforward tasks, those needing advanced data manipulation and analysis capabilities consistently prefer pandas, as it allows for more sophisticated data operations and transformations.
Pricing
Entry-Level Pricing
pandas python
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python xlrd
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pandas python
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python xlrd
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Ratings
Meets Requirements
9.0
75
8.0
16
Ease of Use
8.5
75
8.4
16
Ease of Setup
9.0
16
Not enough data
Ease of Admin
8.2
14
Not enough data
Quality of Support
8.2
67
7.9
15
Has the product been a good partner in doing business?
What is your experience with pandas for data analysis, and what features do you find most useful?
1 Comment
LM
My experience with pandas for data analysis has been very positive and productive. I find pandas to be an incredibly powerful and flexible library that...Read more
What is pandas python used for?
1 Comment
LM
Pandas in Python is primarily used for data manipulation and analysis. It provides powerful data structures like DataFrames and Series that make it easy to...Read more
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