Slicing and Dicing, Dynamic Graphs with Bokeh and Seaborn
This video delves into the powerful data manipulation capabilities of Pandas, a popular Python library for data analysis. It covers the following key topics:
Slicing and Dicing with Pandas:
Column Selection: Demonstrates how to select specific columns using their names or indexing.
Row Filtering: Explains how to filter rows based on conditions applied to column values.
Combining Column and Row Selection: Shows how to combine both column and row selection to extract specific subsets of data.
Dynamic Graphs with Bokeh and Seaborn:
Matplotlib: Provides a brief overview of Matplotlib, a fundamental plotting library in Python.
Seaborn: Introduces Seaborn, a high-level data visualization library built on top of Matplotlib, which simplifies the creation of aesthetically pleasing statistical graphics.
Bokeh: Explores Bokeh, an interactive visualization library that enables the creation of dynamic and interactive plots. It highlights the advantages of Bokeh over Matplotlib and Seaborn, especially for creating web-based visualizations.
The video concludes by providing references to further explore Matplotlib and its capabilities.
#slicing #dicing #dataframe #pandas #python
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