Data Visualization with Pandas in Action

Data Visualization with Pandas in Action

In this article, I will use real datasets named iris and movies. You can download these data sets here. Let’s load the famous iris dataset.

Data visualization is one of the most enjoyable stages of data analysis. You can draw graphics very easily with the recently developed open source and free libraries. The Pandas library is one of the most used Python libraries for data preprocessing and data cleaning. Libraries such as Matplotlib and Seaborn are often used to visualize data. But with Pandas, you can easily visualize Series and DataFrame data. In my last article, I explained the bar, histogram and box graphics with Pandas. In summary, I will explain the following topics in this article.

  • Area charts
  • Scatter plots
  • Hexagonal bin charts
  • Pie charts
  • Density charts
  • Scatter matrix plots

data-visualization matplotlib data-analysis pandas python

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