Use dictionary to replace a string within a string in Pandas columns

Use dictionary to replace a string within a string in Pandas columns

You can use the .replace() function in Pandas to replace strings within a DataFrame column using a dictionary. The keys of the dictionary represent the strings to be replaced, and the corresponding values represent the replacement strings. Here's how you can do it:

import pandas as pd # Sample DataFrame data = {'column1': ['apple banana', 'orange apple', 'banana cherry']} df = pd.DataFrame(data) # Dictionary for string replacement replacement_dict = {'apple': 'fruit', 'banana': 'fruit', 'orange': 'citrus'} # Apply string replacement to the 'column1' column df['column1'] = df['column1'].replace(replacement_dict, regex=True) print(df)

Output:

 column1 0 fruit fruit 1 citrus fruit 2 fruit cherry

In this example, we have a DataFrame df with a column named 'column1'. We define a dictionary replacement_dict where keys represent the strings to be replaced, and values represent the replacement strings. The .replace() function is used on the 'column1' column, and the regex=True parameter is set to enable regex-based replacement.

Keep in mind that if you have specific requirements for case-sensitivity or more complex replacement patterns, you might need to adjust the regex or use additional parameters accordingly.

Examples

  1. "How to replace strings in Pandas DataFrame using dictionary?" Description: You can use the replace() method with a dictionary to replace strings in Pandas DataFrame columns.

    # Example: import pandas as pd data = {'col1': ['apple', 'banana', 'orange'], 'col2': ['red', 'yellow', 'orange']} df = pd.DataFrame(data) replacements = {'apple': 'fruit', 'orange': 'citrus'} df.replace(replacements, inplace=True) print(df)

  2. "Replace multiple strings in Pandas DataFrame columns using dictionary" Description: Define a dictionary with the mappings of strings to be replaced and use the replace() method.

    # Example: replacements = {'apple': 'fruit', 'orange': 'citrus'} df.replace(replacements, inplace=True) print(df)

  3. "Pandas replace string values with dictionary mapping" Description: Use a dictionary to map old values to new values and apply the replacements using the replace() method.

    # Example: replacements = {'apple': 'fruit', 'orange': 'citrus'} df['col1'] = df['col1'].replace(replacements) df['col2'] = df['col2'].replace(replacements) print(df)

  4. "How to use dictionary to replace strings in Pandas DataFrame columns?" Description: Utilize a dictionary containing mappings of strings to be replaced and apply them using the replace() method.

    # Example: replacements = {'apple': 'fruit', 'orange': 'citrus'} df.replace({'col1': replacements, 'col2': replacements}, inplace=True) print(df)

  5. "Replace specific strings in Pandas DataFrame with dictionary" Description: Create a dictionary with the mappings of strings to be replaced and use the replace() method on the desired columns.

    # Example: replacements = {'apple': 'fruit', 'orange': 'citrus'} df['col1'].replace(replacements, inplace=True) print(df)

  6. "Python Pandas replace string values in columns with dictionary" Description: Define a dictionary with the mappings of strings to be replaced and apply them using the replace() method.

    # Example: replacements = {'apple': 'fruit', 'orange': 'citrus'} df.replace({'col1': replacements, 'col2': replacements}, inplace=True) print(df)

  7. "Replace strings in Pandas DataFrame columns using mapping dictionary" Description: Use a dictionary to map old values to new values and apply the replacements using the replace() method.

    # Example: replacements = {'apple': 'fruit', 'orange': 'citrus'} df.replace({'col1': replacements, 'col2': replacements}, inplace=True) print(df)

  8. "Python Pandas replace strings in columns with dictionary mapping" Description: Define a dictionary with the mappings of strings to be replaced and apply them using the replace() method.

    # Example: replacements = {'apple': 'fruit', 'orange': 'citrus'} df.replace(replacements, inplace=True) print(df)

  9. "Replace strings in Pandas DataFrame columns based on dictionary" Description: Use a dictionary to map old values to new values and apply the replacements using the replace() method.

    # Example: replacements = {'apple': 'fruit', 'orange': 'citrus'} df.replace({'col1': replacements, 'col2': replacements}, inplace=True) print(df)

  10. "How to replace specific strings in Pandas DataFrame with dictionary?" Description: Define a dictionary with the mappings of strings to be replaced and use the replace() method on the desired columns.

    # Example: replacements = {'apple': 'fruit', 'orange': 'citrus'} df['col1'].replace(replacements, inplace=True) print(df)

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