Engineering Python 16C: Pandas Examples - Housing Market and Unemployment

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Welcome to Engineering Python. This is a Python programming course for engineers.

In this video, I'll talk about two Pandas examples, the US housing market and the US unemployment map.

The course materials are available on YouTube and GitHub.

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Hi Guys, please comment and let me know what you think about this Engineering Python open course. If you enjoy the video, please subscribe and share with your friends. Thanks!
There was a bug in the Jupyter Notebook file on Github. Due to changes of the Quandl website, quandl.get() will return two columns instead of one. The new Jupyter Notebook file fixed this bug.

YongWang

Sir, I want to ask you regarding the unemployment.py code. I am sure that I already had beautifulsoup4 installed in anaconda. But, after I run the code on jupyter the output windows show errors as follows:

DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if rate > 10:

DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
elif rate > 8:

DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
elif rate > 6:

DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
elif rate > 4:

DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
elif rate > 2:

I hope you would not mind to give me some insight into this problem, thank you for your time Sir.

CodexIvory

Engineering Python 16C: Pandas Examples - Housing Market and Unemployment

Engineering Python 16C: Pandas Examples - Housing Market and Unemployment

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