how to show pandas data frame data as bar graph?

Question

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

Asked By: Satyajit Barik

||

Source

Answer 1

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

Answered By: AkiroToshiro

how to show pandas data frame data as bar graph?

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