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16 lip 2020 · If you need to save multiple objects, you can simply put them in a single list, or tuple, for instance: # obj0, obj1, obj2 are created here... pickle.dump([obj0, obj1, obj2], f) obj0, obj1, obj2 = pickle.load(f)
19 lut 2021 · You can save the variables, using e.g. numpy.save, but it doesn't preserve the variable names. So unless you know the order you saved them in you can't recreate them. I want them as separate variables, not just as part of an array (unless they can be easily recreated after loading).
24 lis 2020 · We can filter the elections dataframe using the candidate name and then sort values based on the total votes. Here are the top 5 counties that Joe Biden got the most votes. elections[elections.candidate == 'Joe Biden']\.sort_values(by='total_votes', ascending=False)[:5]
Data analysis of US Presidential and Senatorial election results in 1976-2020, a python coursework project for ECO225 (Big-data Tools for Economists) at UofT Resources
25 lut 2021 · This article discusses how variables can be saved and loaded in python using pickle. Functions used: In python, dumps() method is used to save variables to a pickle file. Syntax: pickle.dumps(obj, protocol=None, *, fix_imports=True, buffer_callback=None) In python, loads() is used to load saved data from a pickled file; Syntax:
18 paź 2020 · We have analyzed the US presidential elections with regards to the number of votes over time, the dominance of each president in terms of votes, and the state-wise votes for democrats and republicans. The results may not be surprise to you especially if you are into politics.
1 lis 2020 · Determining the number of votes for each candidate in all states and parties between 1976–2016. Most importantly, predicting a likely winner for the next presidential election. Two different...
