Pandas: Extract numbers less than 100 from the specified column of a given DataFrame
Pandas: String and Regular Expression Exercise-34 with Solution
Write a Pandas program to extract numbers less than 100 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': ['72 Surrey Ave.11','92 N. Bishop Ave.','9910 Golden Star St.', '102 Dunbar St.', '17 West Livingston Court']
})
print("Original DataFrame:")
print(df)
def test_num_less(n):
nums = []
for i in n.split():
result = re.findall(r'\b(0*(?:[1-9][0-9]?|100))\b',i)
nums.append(result)
all_num=[",".join(x) for x in nums if x != []]
return " ".join(all_num)
df['num_less'] = df['address'].apply(lambda x : test_num_less(x))
print("\nNumber less than 100:")
print(df)
Sample Output:
Original DataFrame: company_code address 0 c0001 72 Surrey Ave.11 1 c0002 92 N. Bishop Ave. 2 c0003 9910 Golden Star St. 3 c0003 102 Dunbar St. 4 c0004 17 West Livingston Court Number greater than 940: company_code address num_less 0 c0001 72 Surrey Ave.11 72 11 1 c0002 92 N. Bishop Ave. 92 2 c0003 9910 Golden Star St. 3 c0003 102 Dunbar St. 4 c0004 17 West Livingston Court 17
Python Code Editor:
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Documentation references for the modules, constants and functions used above:
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- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
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