Pandas Example – Write a Pandas program to extract words starting with capital words from a given column of a given DataFrame

(Python Example for Beginners)

 

Write a Pandas program to extract words starting with capital words from a given column of a given DataFrame.

 

Sample Solution:

Python Code :


import pandas as pd
import re as re

df = pd.DataFrame({
    'company_code': ['Abcd','EFGF', 'zefsalf', 'sdfslew', 'zekfsdf'],
    'date_of_sale': ['12/05/2002','16/02/1999','05/09/1998','12/02/2022','15/09/1997'],
    'address': ['9910 Surrey Avenue','92 N. Bishop Avenue','9910 Golden Star Avenue', '102 Dunbar St.', '17 West Livingston Court']
})

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

def find_capital_word(str1):
    result = re.findall(r'b[A-Z]w+', str1)
    return result

df['caps_word_in']=df['address'].apply(lambda cw : find_capital_word(cw))
print("nExtract words starting with capital words from the sentences':")
print(df)

Sample Output:

Original DataFrame:
  company_code date_of_sale                   address
0         Abcd   12/05/2002        9910 Surrey Avenue
1         EFGF   16/02/1999       92 N. Bishop Avenue
2      zefsalf   05/09/1998   9910 Golden Star Avenue
3      sdfslew   12/02/2022            102 Dunbar St.
4      zekfsdf   15/09/1997  17 West Livingston Court

Extract words starting with capital words from the sentences':
  company_code            ...                           caps_word_in
0         Abcd            ...                       [Surrey, Avenue]
1         EFGF            ...                       [Bishop, Avenue]
2      zefsalf            ...                 [Golden, Star, Avenue]
3      sdfslew            ...                           [Dunbar, St]
4      zekfsdf            ...              [West, Livingston, Court]

[5 rows x 4 columns]

 

Pandas Example – Write a Pandas program to extract words starting with capital words from a given column of a given DataFrame

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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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