Pandas: Remove repetitive characters from the specified column of a given DataFrame
Pandas: String and Regular Expression Exercise-32 with Solution
Write a Pandas program to remove repetitive characters 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({
'text_code': ['t0001.','t0002','t0003', 't0004'],
'text_lang': ['She livedd a long life.', 'How oold is your father?', 'What is tthe problem?','TThhis desk is used by Tom.']
})
print("Original DataFrame:")
print(df)
def rep_char(str1):
tchr = str1.group(0)
if len(tchr) > 1:
return tchr[0:1] # can change the value here on repetition
def unique_char(rep, sent_text):
convert = re.sub(r'(\w)\1+', rep, sent_text)
return convert
df['normal_text']=df['text_lang'].apply(lambda x : unique_char(rep_char,x))
print("\nRemove repetitive characters:")
print(df)
Sample Output:
Original DataFrame: text_code text_lang 0 t0001. She livedd a long life. 1 t0002 How oold is your father? 2 t0003 What is tthe problem? 3 t0004 TThhis desk is used by Tom. Remove repetitive characters: text_code text_lang normal_text 0 t0001. She livedd a long life. She lived a long life. 1 t0002 How oold is your father? How old is your father? 2 t0003 What is tthe problem? What is the problem? 3 t0004 TThhis desk is used by Tom. This desk is used by Tom.
Python Code Editor:
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Previous: Write a Pandas program to extract only punctuations from the specified column of a given DataFrame.
Next: Write a Pandas program to extract numbers greater than 940 from the specified column of a given DataFrame.
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Documentation references for the modules, constants and functions used above:
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