Join Charles Kelly for an in-depth discussion in this video Data frame plots, part of Pandas for Data Science.
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- Exercise Files
- [Narrator] The data frame plots file…from your exercises file folder is prepopulated…with import statements for Pandas,…NumPy, Pyplot and a style director for ggplot.…Begin by placing your cursor in this cell…and execute it by pressing shift enter.…Pandas has great visualization.…You can look at it by navigating to this URL.…The plots in this video are a subset…of the plots from the visualization page.…The documentation tells us that…the plot method on series and data frame…is a wrapper around Pyplot's function.…
In this cell, we create a series…with 1,000 normally distributed data points.…We create an index with 1,000 dates…beginning on the first of January, 2000.…Next, we modify the series to represent…the cumulative sum of the data points…within the original series.…Then we use series plot function to generate the plot.…Here you can see the plot of the randomly generated data.…You can see the x-axis contains the dates for the data.…Note that the visualization page displays plots in line.…
Since we have not included a magic directive…
Watch this course to gain an overview of Pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.
- Using the Markdown language and Jupyter Notebook
- Creating objects
- Selecting objects
- Using operations
- Merging data
- Creating series
- Creating data frames
- Creating panels
- Annotating plots and data frame plots
Skill Level Intermediate
Introduction to Data Analysis with Pythonwith Michele Vallisneri2h 16m Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL for Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Introduction to Notebooks
2. Pandas Overview
4. Data Frames and Panels
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