pandas python Reviews & Product Details

Pandas is a powerful and flexible open-source Python library designed for data analysis and manipulation. It provides fast, efficient, and intuitive data structures, such as DataFrame and Series, which simplify handling structured (tabular, multidimensional, potentially heterogeneous) and time series data. Pandas aims to be the fundamental high-level building block for practical, real-world data analysis in Python, offering a wide range of functionalities to streamline data processing tasks. Key Features and Functionality: - Handling Missing Data: Pandas offers easy handling of missing data, represented as `NaN`, `NA`, or `NaT`, in both floating point and non-floating point data. - Size Mutability: Columns can be inserted and deleted from DataFrame and higher-dimensional objects, allowing for dynamic data manipulation. - Data Alignment: Automatic and explicit data alignment ensures that objects can be aligned to a set of labels, facilitating accurate computations. - Group By Operations: Powerful and flexible group by functionality enables split-apply-combine operations on datasets for both aggregating and transforming data. - Data Conversion: Simplifies converting differently-indexed data in other Python and NumPy data structures into DataFrame objects. - Indexing and Subsetting: Provides intelligent label-based slicing, fancy indexing, and subsetting of large datasets. - Merging and Joining: Facilitates intuitive merging and joining of datasets. - Reshaping and Pivoting: Offers flexible reshaping and pivoting of datasets. - Hierarchical Labeling: Supports hierarchical labeling of axes, allowing multiple labels per tick. - Robust I/O Tools: Includes robust tools for loading data from flat files (CSV and delimited), Excel files, databases, and saving/loading data from the ultrafast HDF5 format. - Time Series Functionality: Provides time series-specific functionality, including date range generation, frequency conversion, moving window statistics, and date shifting and lagging. Primary Value and User Solutions: Pandas addresses the challenges of data analysis by offering a comprehensive suite of tools that simplify the process of data manipulation, cleaning, and analysis. Its intuitive data structures and functions allow users to perform complex operations with minimal code, enhancing productivity and enabling efficient handling of large datasets. By providing seamless integration with other Python libraries and tools, Pandas serves as a cornerstone for data science workflows, empowering users to extract insights and make data-driven decisions effectively.

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pandas python Integrations

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Verified User in E-Learning

Small-Business (50 or fewer emp.)

11/26/2018

"Pandas in Python"

4/5

What do you like best about pandas python?

Pandas library in python let's you work with your data in a data frame. It let's you play with the data and is an important library for data wrangling and data munging. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

It can only deal majorly with data frames. You'll have to import other libraries like numpy for any kind of arithmetic. However, it gets your basic work done. Review collected by and hosted on G2.com.

Morgan S.

Advisory Services - Consultant

Financial Services

Mid-Market (51-1000 emp.)

9/19/2018

"Easy to work with and fast!"

4/5

What do you like best about pandas python?

I like the flexibility in the use cases for my job. Many times I have to pivot and change on demand codes based on cross functional feedback. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Color schemes that are more dark. Overall the product is great and we use it multiple times daily. Review collected by and hosted on G2.com.

Verified User in Computer Hardware

Enterprise (> 1000 emp.)

9/27/2018

"Good library for science & research"

4.5/5

What do you like best about pandas python?

Pandas is a python library that is easily usable to do statistic analysis on large data sets. It lets you create tables with windows and time series that you can apply functions on to get the details that you need. The documentation is fairly well written. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Some of the concepts are difficult to grasp and it does take some time to set up. You need to be familiar with mathematical and statistical concepts for some of the usage. Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

2/22/2019

"Use python for API"

4/5

What do you like best about pandas python?

Simplicity and built in modules with many libraries Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Nothing as of now but may have more gui features Review collected by and hosted on G2.com.

Verified User in Education Management

Small-Business (50 or fewer emp.)

10/31/2018

"Pandas in Python"

4/5

What do you like best about pandas python?

Pandas is a great module to work with in Python. It provides you with structures and data analysis tools for python programming. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Only some specific commands can be run through this library. You need to import various different libraries to be able to use python properly. Review collected by and hosted on G2.com.

Verified User in Higher Education

Enterprise (> 1000 emp.)

10/18/2018

"Pandas"

4/5

What do you like best about pandas python?

Easy to use with large datasets in Python, easy to setup with Anaconda Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Pandas is very versatile, there is really nothing to "not like" about Pandas Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

9/25/2018

"Essential Tool in a Python Data Scientist's Toolbox"

5/5

What do you like best about pandas python?

Pandas a great tool for manipulating and analyzing data in Python. If you've used R in the past, you'll appreciate how easy it is to transition to using pandas. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

There is somewhat of a learning curve involved in understanding the efficient vs. inefficient way of doing things. Often, the most intuitive way of writing something is orders of magnitude less efficient than the 'correct' way. Review collected by and hosted on G2.com.

Verified User in Internet

Mid-Market (51-1000 emp.)

7/24/2018

"What's not to like?"

5/5

What do you like best about pandas python?

Pandas makes manipulating data in Python a breeze. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Not too much at this point. Any complaints I could come up with would probably be my own fault. Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

7/24/2018

"Good package for data science and manipulation"

4.5/5

What do you like best about pandas python?

Great for data manipulation in Python, useful for machine learning. Easy to download and use. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Sometimes the syntax gets confusing since it seems that every package uses a different kind, but you can just look it up online. Review collected by and hosted on G2.com.