Pandas is a Python module, which is rounding up the capabilities of Numpy, Scipy and Matplotlab. The word pandas is an acronym which is derived from “Python and data analysis” and “panel data”.
There is often some confusion about whether Pandas is an alternative to Numpy, SciPy and Matplotlib. The truth is that it is built on top of Numpy. This means that Numpy is required by pandas. Scipy and Matplotlib on the other hand are not required by pandas but they are extremely useful. That’s why the Pandas project lists them as “optional dependency”.
Pandas is a software library written for the Python programming language. It is used for data manipulation and analysis. It provides special data structures and operations for the manipulation of numerical tables and time series. Pandas is free software released under the three-clause BSD license.
About Pandas
Course Content
- Series and DataFrames
- Accessing Elements from a Series
- Series Alignment
- Comparing One Series with Another
- Element-wise Operations
- Creating a DataFrame from NumPy Array
- Creating a DataFrame from Series
- Creating a DataFrame from a CSVl
- Getting Columns and Rows
- Cleaning Data
- Combining Row and Column Selection
- Scalar Data: at[] and iat[]
- Boolean Selection
- Plotting with matplotlib
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