text_plain_output_1.png image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import pandas as pd

import pandas as pd

import pandas as pd
days_of_week = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
calory_intake = [2385, 1543, 1293, 2019, 4201, 1203, 2309]
weekly_calory_count = pd.DataFrame({'Days': days_of_week, 'Calories': calory_intake})

import pandas as pd
import matplotlib.pyplot as plt
ser = pd.Series([71, 67, 78, 90], index=('Q1', 'Q2', 'Q3', 'Q4'))
ser.plot.bar(rot=5, title='Quarterly Sales(in Millions)')
plt.show(block=True)