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1. #HOW TO INSTALL MATPLOTLIB IN JUPYTER NOTEBOOK CODE#
2. #HOW TO INSTALL MATPLOTLIB IN JUPYTER NOTEBOOK SERIES#

I decided to see which foods contained the most: Sugar, Catbohydrates and Iron. It provides many common foods and their nutrient levels, such as carbohydrates and iron, for breads, fruits, vegetables, beverages and most foods you can find in a grocery store.

Many of the spikes lasted weeks.” ( Source) Chicago transportation officials say they had no knowledge of the wild swings in ticketing until they were told by the Tribune - even though City Hall legally required the camera vendor to watch for the slightest anomaly in ticketing patterns every day.

#HOW TO INSTALL MATPLOTLIB IN JUPYTER NOTEBOOK SERIES#

“A Tribune analysis of more than 4 million tickets issued since 2007 and a deeper probe of individual cases reveal clear evidence that a series of sudden, unexplainable spikes in Chicago’s network of 380 cameras were caused by faulty equipment, human tinkering or both. In 2017, the city approved a settlement of “nearly $40 million after a previous class-action lawsuit alleged that the program had violated 1.2 million motorists’ due process rights.” ( Source) The city of Chicago has drawn criticism for unethical practices in its camera program to reap more revenue. Plt.savefig('Chicago traffic Violations By Year.png', bbox_inches='tight')Īnalysis: We can see 2016 is the leader for the past 5 years in amount of violations that occurred. Plt.title('Chicago Red Light Ticket Violations - Past 5 Years', """Pass pandas columns to plt.plot_date to create and save plot.""" Plt.legend(handles=, fontsize='xx-small') Red_patch = mpatches.Patch(color='DarkRed', label='Each Dot is 1 Day') Plotting Datasets Using Jupyter, Pandas and Matplotlibĭf = pd.read_csv('Red_Light_Camera_Violations.csv')ĭf = pd.to_datetime(df) Plotting red light tickets with matplotlib - Python Marketer

#HOW TO INSTALL MATPLOTLIB IN JUPYTER NOTEBOOK CODE#

The below code was used for the left image above, in which I plotted each day of red light camera violations in Chicago over the past 5 years. Personally, I was issued 3 red light camera tickets over the last 5 years. I charted out the tickets by year, month and day. Jupyter Notebook with code for both these charts can be found here.Ģ,573,339 violations occurred from July 2014 – March 2019. Less tickets were issued in 20, after more allegations surfaced about this troublesome red light camera program. Note the spikes in tickets per day in 20, and the amount of tickets issued in 2016. Chicago Red Light Camera Violations (2014 – 2019) Then, run Jupyter Notebook jupyter notebook 1. To do that, just install pandas and matplotlib.įirst, install libraries with pip. To run the scripts shown in this post, you must: (1) install the three libraries below to run in a Jupyter notebook (recommended) OR (2) run these plots from the command line and view them as a saved image. If you want a superb, gentle and funny introduction to pandas, Jupyter, and data analysis, this P圜on session is the best tutorial I have found, by far.

If you need a run-down on using pip, I wrote this post to help sort it out.

Additionally, organizations with public data like the Chicago Data Portal are interesting to check out. First, can I say that Google Dataset Search is great? I have been enjoying many of the datasets I’ve found there. I’m new to exploring datasets, but I’ve already found some great public data online.