Python: Fix csv file paths for learn site sample. Improve streaming output formatting with code present

[moonbox3]

Motivation and Context

The code sample located here had an issue loading the resource csv files right out of the box. Additionally, the formatted output could use some help.

Now the output is formatted nicely like:

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To provide a column chart of the top 10 countries by population with values at the top of each column, I'll need to examine the contents of the uploaded files. Let's first take a look at the data in these files to understand their structure and content.

import pandas as pd

# Load the uploaded files to inspect their contents
file_1_path = '/mnt/data/assistant-T1tWYT1f5Y8JFRuYtxgjck'
file_2_path = '/mnt/data/assistant-LUgpebvSh4PTrFdEkVEXMi'

# Try reading the files into pandas dataframes
try:
    data_1 = pd.read_csv(file_1_path)
except Exception as e:
    data_1 = str(e)

try:
    data_2 = pd.read_csv(file_2_path)
except Exception as e:
    data_2 = str(e)

data_1, data_2

The first file seems to contain regional population data for various provinces and states within countries, such as Belgium and the US. The important columns for this task are:

• Country_Region: the name of the country
• Population: the population of the region

The second file provides population data by country, which seems more appropriate for finding the top 10 countries by population. It contains:

• Country_Region: the name of the country
• Population: the population of the country

We'll use the second file to extract the top 10 countries by population and create a column chart with the population values displayed on top. Let's proceed with this analysis.

import matplotlib.pyplot as plt
import seaborn as sns

# Use the second data set which has per country data
country_data = data_2

# Sort by Population and select the top 10 countries
top_10_countries = country_data.sort_values(by='Population', ascending=False).head(10)

# Plotting
plt.figure(figsize=(12, 8))
sns.barplot(data=top_10_countries, x='Country_Region', y='Population', palette='viridis')
plt.xticks(rotation=45)
plt.title('Top 10 Countries by Population')
plt.xlabel('Country')
plt.ylabel('Population')

# Adding population values on top of each bar
for index, row in top_10_countries.iterrows():
    plt.text(index, row['Population'], f"{row['Population']:,}", color='black', ha="center")

plt.tight_layout()
plt.show()

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Description

Fix formatting and csv links for a learn resource sample.

• Will update the learn site after this PR is approved.
• Although not directly related to the server-side errors from the Azure Assistant Agent, this issue is related: Python: OpenAI Assistant Agent Code Interpreter encounters issues with StreamingFileReferenceContent in PYTHON #10482

Contribution Checklist

• The code builds clean without any errors or warnings
• The PR follows the SK Contribution Guidelines and the pre-submission formatting script raises no violations
• All unit tests pass, and I have added new tests where possible
• I didn't break anyone 😄