# (Python Example for Beginners)

Write a Pandas program to extract only number from the specified column of a given DataFrame.

Sample Solution:

Python Code :

``````
import pandas as pd
import re as re

pd.set_option('display.max_columns', 10)

df = pd.DataFrame({
'company_code': ['c0001','c0002','c0003', 'c0003', 'c0004'],
'address': ['7277 Surrey Ave.','920 N. Bishop Ave.','9910 Golden Star St.', '25 Dunbar St.', '17 West Livingston Court']
})

print("Original DataFrame:")
print(df)

def find_number(text):
num = re.findall(r'[0-9]+',text)
return " ".join(num)

print("Extracting numbers from dataframe columns:")
print(df)
``````

Sample Output:

```Original DataFrame:
0        c0001          7277 Surrey Ave.
1        c0002        920 N. Bishop Ave.
2        c0003      9910 Golden Star St.
3        c0003             25 Dunbar St.
4        c0004  17 West Livingston Court
Extracting numbers from dataframe columns:
0        c0001          7277 Surrey Ave.   7277
1        c0002        920 N. Bishop Ave.    920
2        c0003      9910 Golden Star St.   9910
3        c0003             25 Dunbar St.     25
4        c0004  17 West Livingston Court     17```

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## Two Machine Learning Fields

There are two sides to machine learning:

• Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
• Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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