how to show pandas data frame data as bar graph?

I have the data like below,

[{'index': 0, 'Year_Week': 670, 'Sales_CSVolume': 10},
 {'index': 1, 'Year_Week': 680, 'Sales_CSVolume': 8},
{'index': 2, 'Year_Week': 700, 'Sales_CSVolume': 4},
{'index': 3, 'Year_Week': 850, 'Sales_CSVolume': 13}]

I want to draw a bar graph where Year_Week should be in X-Axis and Sales_CSVolume should be in Y-axis like below screenshot.

I tried something like below,

Year_Week = []
Sales_CSVolume = []
import matplotlib.pyplot as plt
for idx, elem in enumerate(data):
    for key, value in elem.items():
        Year_Week.append(key == 'Year_Week')
        print(f"List element: {idx:>2} Key: {key:<20} Value: {value}")
        
plt.bar(Year_Week, Sales_CSVolume)
plt.show()

Above code is not work as per the screenshot graph. Can anyone help me to sort out this issue

CodePudding user response：

import pandas as pd
import seaborn as sns

data = [{'index': 0, 'Year_Week': 670, 'Sales_CSVolume': 10},
 {'index': 1, 'Year_Week': 680, 'Sales_CSVolume': 8},
{'index': 2, 'Year_Week': 700, 'Sales_CSVolume': 4},
{'index': 3, 'Year_Week': 850, 'Sales_CSVolume': 13}]

df = pd.DataFrame(data)
df.set_index('index', inplace=True)

sns.barplot(data=df, x='Year_Week', y='Sales_CSVolume')

Result