Pandas is an open-source data manipulation and analysis library for Python. It provides data structures for efficiently storing large datasets and a vast collection of functions and methods to operate on these data. The name Pandas is derived from the term “panel data,” an econometrics term for datasets that include observations over multiple time periods for the same individuals.

Here are the key features and capabilities of the Pandas library.

**DataFrame and Series**: Pandas introduces two primary data structures – Series and DataFrame. A Series is similar to a one-dimensional array, while DataFrame is a two-dimensional table of data with rows and columns. These data structures are built on top of NumPy arrays, allowing for fast computation.

**Data Wrangling and Cleaning**: Pandas provides extensive capabilities for data cleaning, including handling missing data, dealing with categorical data, renaming, replacing, and reshaping data.

**File I/O**: Pandas can read data from various file formats such as CSV, Excel, JSON, HTML, and SQL databases. It can also write data back to these formats. This makes it highly versatile in terms of data compatibility.

**Indexing and Subsetting**: It offers powerful indexing and subsetting options for complex datasets. With various functions to filter and select data, Pandas makes it easy to retrieve the necessary data from a DataFrame or Series.

**Aggregation and Grouping**: You can perform statistical analyses over subsets of data efficiently. Grouping, aggregating, and pivoting data is simple and intuitive with Pandas.

**Time Series Analysis**: Pandas has strong support for time-series data, including handling dates, times, and timedeltas. It provides extensive functionality for resampling, time-zone conversions, and moving window statistics.

**Integration with Other Libraries**: Pandas works well with many other libraries. For example, it can be used in conjunction with Matplotlib for plotting data, Scikit-learn for machine learning, and NumPy for numerical operations.

**Performance**: Pandas is optimized for performance. Critical parts of the library are written in Cython and C, making it fast for processing large datasets.

**Customization and Extensibility**: It allows for customization and extensibility, making it adaptable to a broad range of use cases.

Pandas has become one of the most popular and essential libraries for data scientists, statisticians, and analysts working in Python due to its ease of use, flexibility, and powerful features. It is widely used for data analysis and manipulation in academia, industry, and various scientific fields.

- Installing Pandas
- Upgrading Pandas
- How to Find the Installed Version of Pandas?
- How to Create a Pandas DataFrame from Lists?
- How to Create Pandas DataFrame from a dictionary?
- How to Convert a Pandas DataFrame to a Dictionary?
- How to Create a Pandas Series from a list?
- How to Create a Pandas Series from a dictionary?
- How to Convert a Pandas Series to a DataFrame?
- How to Read a CSV File in Pandas ?
- Pandas Head and Tail Method.
- How to Rename Column Names in Pandas?
- How to Delete one or more columns from a Pandas dataframe?
- How to Write a Pandas DataFrame to a CSV File?
- How to Select Rows and Columns from a Pandas DataFrame?
- How Boolean Indexing works in Pandas?
- Pandas dropna method
- Pands fillna method
- How to Sort a Pandas DataFrame?
- How to Sort a Pandas DataFrame by Index?
- How to Set a Column as Index in pandas?
- How to Reset an Index in Pandas?
- How to replace values in pandas?
- How to Read Excel File in Python?
- How to Write a Pandas DataFrame to an Excel File?
- How to remove duplicate data in Pandas?
- How to add a New Column to an Existing DataFrame in Pandas?
- iterrows(), itertuples() – Iterating over rows in pandas.
- How to change the order of columns in pandas?
- How to do Binning in pandas?
- How to Change a Column Data Types in Pandas?
- How to Round Values in Pandas?
- How to Merge DataFrames in Pandas?
- How to Concatenate DataFrames in Pandas?
- How to Create Pivot Tables in Pandas?
- How to Unpivot in Pandas?
- How Crosstab Works in pandas?
- What does axis=0 and axis=1 mean in Pandas?
- How Map Function Works in Pandas?
- How Apply Function Works in Pandas?
- How applymap function Works in Pandas?
- How to get pandas column names as a list?
- How to convert a column to Datetime in Pandas?
- How to change the datetime format in Pandas?
- How to get unique values in a column in Pandas?
- How groupby() works in pandas – Split Apply Combine
- How to convert a pandas dataframe to numpy array?
- How to add a single row to a Pandas DataFrame?
- How to combine two text columns in Pandas?
- How to delete rows in pandas based on conditions?
- How to Shuffle the rows of a DataFrame in Pandas?
- How to filter Pandas dataframe using ‘in’ and ‘not in’ like in SQL?
- How to Import multiple csv files and concat into one dataframe in Pandas?
- How does Pandas Query Method Works?
- How to Convert a String Column to Float in Pandas?
- How to Convert String Column to Integer in Pandas?
- How to Calculate Common Statistics in Pandas?
- How to Create Correlation Matrix in Pandas Python?
- How to create a Line chart in Pandas?
- How to Create a Scatter plot in Pandas?
- How to Create a Bar Chart in Pandas?
- How to Create a Horizontal Bar Chart?
- How to Create a Histogram in Pandas?
- How to Create a Box Plot in Pandas?
- How to do One Hot Encoding in Pandas?
- How to Get the Number of Rows in a Pandas DataFrame?
- How to Select Multiple Columns in Pandas DataFrame?
- How to Change the Order of Columns in Pandas DataFrame?
- How to Get the List of Column Names or Headers in Pandas?
- How to use List of Values to Select Rows from Pandas DataFrame?
- How to Shuffle the Rows of a Pandas DataFrame?
- How to Convert Index of a Pandas DataFrame into a Column?
- How to Count NaN values in a Column in Pandas DataFrame?
- How to Avoid Creating an Index when Saving a CSV File in Pandas?
- How to Check Whether a Pandas Dataframe is Empty?
- How to Replace NaN values with Zeros in Pandas?
- How to Select All Columns Except One in Pandas?
- How to Check If a Column Exist in Pandas?
- How to Sort Columns in Pandas Based on Column Names?
- How to Count the Frequency of Values in a Column in Pandas?
- How to Sort a DataFrame in Pandas by Two or More Columns?
- How to Add an Empty Column to a Pandas Dataframe?
- How to Combine Two Series into a DataFrame in Pandas?
- How to Read a CSV file Without Headers in Pandas?
- How to Extract Month and Year from a Datetime Column in Pandas?
- How to Replace NaN with Blank Empty String in Pandas?
- How to Drop a List of Rows from a Pandas Dataframe?
- How to Convert Floats to Ints in Pandas?
- How to Split a String Column into Two Columns in Pandas?
- How to determine whether a Pandas Column Contains a Particular Value?
- How to Replace NaN with Average of Columns in Pandas?
- Create Empty Dataframe with Only Column Names in Pandas?
- How to Read a Text File in Pandas?
- How to Calculate Column Average or Mean in Pandas?
- How to Show all Column Names in Large Pandas Dataframe?
- How to Map True and False to 1 and 0 in Pandas?
- How to Suppress or Format Scientific Notation in Pandas?
- How to Export a Pandas DataFrame to a JSON File ?
- How to Load a JSON File into pandas DataFrame?
- How to Apply a Function to Multiple columns in Pandas?
- How to Get the Index of a Pandas DataFrame?
- How to Get the Data Types of Each Columns in Pandas ?
- Pandas DataFrame info Method
- Pandas DataFrame select_dtypes method
- Pandas DataFrame ndim property.
- Pandas DataFrame size property
- Pandas DataFrame shape property
- Pandas DataFrame empty property
- Pandas DataFrame at method
- Pandas DataFrame pop method
- Pandas DataFrame get method
- Pandas DataFrame isin method
- Pandas DataFrame where method
- Pandas DataFrame count method
- Pandas DataFrame cov method
- Pandas DataFrame cummax method
- Pandas DataFrame cummin method
- Pandas DataFrame cumprod method
- Pandas DataFrame cumsum method
- Pandas DataFrame diff method
- Pandas DataFrame eval method
- Pandas DataFrame max method
- Pandas DataFrame min method
- Pandas DataFrame pct_change method
- Pandas DataFrame prod and product method
- Pandas DataFrame mean method
- Pandas DataFrame median method
- Pandas DataFrame mode method
- Pandas DataFrame sum method
- Pandas DataFrame std method
- Pandas DataFrame var method
- Pandas DataFrame values property
- Pandas DataFrame keys method
- Pandas DataFrame add method
- Pandas DataFrame sub method
- Pandas DataFrame mul method
- Pandas DataFrame div method
- Pandas DataFrame floordiv method
- Pandas DataFrame mod method
- Pandas DataFrame pow method
- Pandas DataFrame lt method
- Pandas DataFrame gt method
- Pandas DataFrame le method
- Pandas DataFrame ge method
- Pandas DataFrame ne method
- Pandas DataFrame eq method
- Pandas DataFrame combine method
- Pandas DataFrame combine_first method
- Pandas DataFrame agg method
- Pandas DataFrame aggregate method
- Pandas DataFrame transform method
- Pandas DataFrame rolling method
- Pandas DataFrame abs method
- Pandas DataFrame clip method
- Pandas DataFrame rank method
- Pandas DataFrame sem method
- Pandas DataFrame skew method
- Pandas DataFrame nunique method
- Pandas DataFrame value_counts method
- Pandas DataFrame add_prefix method
- Pandas DataFrame add_suffix method
- Pandas dataFrame at_time method
- Pandas DataFrame between_time method
- Pandas DataFrame equals method
- Pandas DataFrame filter method
- Pandas DataFrame idxmax method
- Pandas DataFrame idxmin method
- Pandas DataFrame reindex method
- Pandas DataFrame rename method
- Pandas DataFrame rename_axis method
- Pandas DataFrame sample method
- Pandas DataFrame set_axis method
- Pandas DataFrame take method
- Pandas DataFrame truncate method
- Pandas DataFrame isna method
- Pandas DataFrame notna method
- Pandas DataFrame nlargest method
- Pandas DataFrame nsmallest method
- Pandas DataFrame stack method
- Pandas DataFrame unstack method
- Pandas DataFrame explode method
- Pandas DataFrame squeeze method
- Pandas DataFrame transpose method
- Pandas DataFrame append method
- Pandas DataFrame compare method
- Pandas DataFrame asof method
- Pandas DataFrame first_valid_index method
- Pandas DataFrame last_valid_index method
- Pandas DataFrame to_period method
- How to Write a Pandas DataFrame to Parquet File?
- How to Read a Parquet File in Pandas?
- How to Write a Pandas DataFrame to a Pickle File?
- How to Read a Pickle File in Pandas?
- Pandas Read CSV
- Pandas Series
- Pandas DataFrames
- How to Create Pandas DataFrame in Python
- How to Export Pandas DataFrame to a CSV File
- How to Export Pandas DataFrame to an Excel File
- How to Export Pandas DataFrame to a JSON File
- How to Convert Pandas DataFrame into a List
- How to Sort a Pandas DataFrame
- Create a Pivot Table in Python using Pandas
- How to Remove Duplicates from Pandas DataFrame