Pandas Excel: Draw a bar plot, where each bar will represent one of the top 10 production
23. Bar Plot of Top 10 Production
Write a Pandas program to import given excel data (coalpublic2013.xlsx) into a dataframe and draw a bar plot where each bar will represent one of the top 10 production. Go to Excel data
Sample Solution:
Python Code :
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.read_excel('E:\coalpublic2013.xlsx')
sorted_by_production = df.sort_values(['Production'], ascending=False).head(10)
sorted_by_production['Production'].head(10).plot(kind="barh")
plt.show()
Sample Output:
Excel Data:
coalpublic2013.xlsx:
For more Practice: Solve these Related Problems:
- Write a Pandas program to import coalpublic2013.xlsx, compute the top 10 production values, and plot a bar chart.
- Write a Pandas program to group production data by MSHA ID, select the top 10 producers, and visualize them using a bar plot.
- Write a Pandas program to extract the top 10 production records from the Excel file and generate a corresponding bar chart.
- Write a Pandas program to sort production values in descending order, select the top 10, and display them as a bar chart.
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Next: Write a Pandas program to import given excel data (coalpublic2013.xlsx ) into a dataframe and draw a bar plot comparing year, MSHA ID, Production and Labor_hours of first ten records.
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