Visualizing Data with Graphs - Pandas | Python ~ Episode 9
Hey Coders! When it comes to data science and analytics, Python is king! There are hundreds of amazing libraries for running mathematical and statistical analyses on your Pandas dataframes. Just as important as this is though, seeing a clear, well-put-together graph can be just as compelling for understanding your data. Luckily, pandas has built-in functionality for plotting your data! You can create many different graphs from line charts to bar charts to scatter plots and more! Watch this video to learn the basics of plotting!
Check out the source code on GitHub:
https://github.com/davidtheweiss/pand...
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🧑💻 Pandas Documentation: https://pandas.pydata.org/docs/refere...
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🕒 Timestamps
0:00 Intro
1:18 Loading in US inflation data from FRED
2:15 Importing pandas and displaying our data
5:00 Graphing our data using plot()
6:46 Explicitly specifying the data for x-axis and y-axis
8:03 Suppressing the text output from Jupyter
8:56 How to make your pandas plot bigger/smaller
10:04 Adding a title, axis, and legend labels to your plot
11:25 Changing line width, color, font, gridlines, etc. of your plot
12:46 Including a regression line to our plot
13:49 Pandas plots a line graph by default
15:02 Scatter plots
16:17 Bar Charts
17:04 Histograms
17:59 Pie Charts
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