Python data analysis and application: from data acquisition to visualization

Chapter 6 Exercises after class

 

 

Program question
Answer:
import pandas as pd

stock_data = pd.DataFrame({'stock code':['000609','000993','002615',

                                    '000795','002766','000971',

                                    '000633','300173','300279','000831'],

                              'Securities Abbreviation': ['Zhongdi Investment','Mindong Power','Hals',

                                    'Innova', 'Soling Shares', 'Gaosheng Holdings',

                                    'Alloy Investment', 'Wisdom Songde', 'Hejing Technology', 'Minmetals Rare Earth'],

                              'Latest price': [4.80,4.80,5.02,3.93,6.78,

                                     3.72,4.60,4.60,5.81,9.87],

                              'Increase or decrease%': [10.09,10.09,10.09,10.08,

                                      10.06,10.06,10.06,10.05,10.05,10.04]})

print(stock_data)

Answer:
import matplotlib.pyplot as plt

%matplotlib inline

plt.rcParams['font.sans-serif']=['SimHei'] # Display Chinese labels normally

plt.rcParams['axes.unicode_minus']=False # Normal display negative sign

x_axis = stock_data['stock abbreviation']

y_axis = stock_data['latest price']

plt.bar(x_axis, y_axis)

# Save it first, if it is used after the show() function, the saved picture will be a blank picture

plt.savefig(r"C:\Users\admin\Desktop\shares_bar.png")

plt.show()