Python Data Visualization Transcripts
Chapter: Course Conclusion
Lecture: Pandas
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The next library we talked about was pandas and it makes sense to consider using pandas
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because you're typically going to be using pandas for your data analysis and you might as well start your visualization with pandas.
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Pandas has two primary plotting API. So there's a plot method on a series and data frames. So in this example you can plot a histogram.
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There is also a specialized plotting functions for histogram, box plots as well as
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some others that will give you a separate interface for plotting your data. So where does pandas fit into this?
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Well, I think it can be useful for some of your basic exploratory analysis and as I said, if you're already analyzing the data,
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you might as well start some quick plots with pandas. You can then customize it using matplot lib.
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But I really think going forward you should evaluate other tools for more interactive and more complex analysis.