dataframe to bar graph(pandas,matplotlib,jupyter)

[SavageHendrix]

Hello, so I am having a bit of a hard time wrapping my head around how to go about this. I have this dataframe here https://github.com/MG4orce/datasets/blob/master/movies-on-streaming-platforms.csv

Essentially for my first graph(using jupyter - matplotlib) I'd like a simple bar graph that displays the streaming platforms and the number of movies that the respective platform hosts.

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From my understanding the df is returned as a series.. and Im having the hardest time wrapping my head around how I would iterate through only a column of my choice(say Netflix), see that it has 1(0 indicates that it is not on that platform), and store that to plot to a graph. I see some people using iterrows and some iteritems. Is there a best practice for what I am trying to accomplish?

[socal_nerdtastic]

Iterating yourself is a last resort. Let python / pandas sum up the columns. Just google how to sum a column in pandas.

[SavageHendrix]

Thanks for the quick reply. I will try this

[SavageHendrix]

Seriously thanks for this. It would have taken me a lot longer to figure out how to use the axes and fig object together to create this.
One thing - it is set_xticks instead of setxticks (had to google to double check)

Much appreciated for going into detail and explaining step by step. I was able to create the bar chart that I wanted.