Python中的直方图数据可视化（使用matplotlib）

Question

I'm pretty new to StackOverflow. Recently I've been doing a web data scraping python project where I use bs4 to scrape the titles, publication dates, and author names from a website and store them into lists. Now I want to do some visualization using matplotlib to generate some visuals so I can put them on a website and host the website using aws.

The problem is that I have the date but I'm not sure how to use matplotlib for example, generate a histogram of # of articles being published each year, or names of the author who appear in most articles. Here are the lists I have rn:

#print(year_list)
# print(id_list)
# print(title_list)
# print(author_list)
# print(publication_date_list)
# print(abstract_list)

And snippets of printed year_list:

['2019', '2019', '2019', '2019', '2019', '2019', '2019', '2019', '2019', '2019', '2019', '2018', '2018', '2018',...]

Any suggestions about how I can use tools to visualize these lists?

Answer 1

I mean, shouldn't you just be able to copy & paste an example like that on pythonspot.com and simply replace its data with your data?

Edit: Replacing x in the example with your snippet from year_list produced this histogram:

Edit 2: Just in case, the code is this:

import matplotlib.mlab as mlab
import matplotlib.pyplot as plt

x = ['2019', '2019', '2019', '2019', '2019', '2019', '2019', '2019', '2019', '2019', '2019', '2018', '2018', '2018']

num_bins = 5

n, bins, patches = plt.hist(x, num_bins, facecolor='blue', alpha=0.5)

plt.show()