Beta

## Intermediate Python

Run the hidden code cell below to import the data used in this course.

```
# Import the course packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# Import the two datasets
gapminder = pd.read_csv("datasets/gapminder.csv")
brics = pd.read_csv("datasets/brics.csv")
```

### Take Notes

Add notes about the concepts you've learned and code cells with code you want to keep.

means i have to create two arrays one with african country

histogram is used when there is one column we can used histogram for comparing the flactuation ir distribution in data sets

*Add your notes here*

Current Type: Bar

Current X-axis: None

Current Y-axis: None

Current Color: None

```
# Add your code snippets here
for row,col in brics.iterrows():
print(f"The population of {col['country']} is {col['population']} million")
african_cont =gapminder[gapminder['cont'] == 'Africa']
life_exp = np.array(round(african_cont["life_exp"],2))
country = np.array(african_cont['country'])
# print(max(life_exp))
plt.hist(life_exp, bins = 6, range = [0,80], density=True,orientation="vertical")
plt.title("African Life Expentancies")
plt.ylabel('country')
plt.xlabel('life Expectancies')
plt.show()
```

### Explore Datasets

Use the DataFrames imported in the first cell to explore the data and practice your skills!

- Create a loop that iterates through the
`brics`

DataFrame and prints "The population of {country} is {population} million!". - Create a histogram of the life expectancies for countries in Africa in the
`gapminder`

DataFrame. Make sure your plot has a title, axis labels, and has an appropriate number of bins. - Simulate 10 rolls of two six-sided dice. If the two dice add up to 7 or 11, print "A win!". If the two dice add up to 2, 3, or 12, print "A loss!". If the two dice add up to any other number, print "Roll again!".

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