Pandas Replace NaN with blank/empty string

Pandas Replace NaN with blank/empty string

You can replace NaN (Not a Number) values in a Pandas DataFrame or Series with blank or empty strings using the fillna() function. Here's how you can do it:

  • Replace NaN in DataFrame:
import pandas as pd import numpy as np # Create a sample DataFrame with NaN values data = {'A': [1, np.nan, 3], 'B': [np.nan, 5, 6]} df = pd.DataFrame(data) # Replace NaN with empty string df_filled = df.fillna('') print(df_filled)
  • Replace NaN in Series:
import pandas as pd import numpy as np # Create a sample Series with NaN values s = pd.Series([1, np.nan, 3, np.nan, 5]) # Replace NaN with empty string s_filled = s.fillna('') print(s_filled)

In both examples, the fillna('') function is used to replace NaN values with an empty string.

Keep in mind that when you replace NaN values with an empty string, the dtype of the column or Series may change to object, which can have some implications for operations you perform later. If you want to maintain a numeric dtype but show empty strings instead of NaN, you might consider using the .applymap() function with a custom function that checks for NaN values and replaces them with empty strings.

Examples

  1. "pandas replace NaN with blank string"

    • Description: This query aims to find solutions for replacing NaN values in a Pandas DataFrame with empty strings.
    • Code Implementation:
      import pandas as pd # Create a DataFrame with NaN values df = pd.DataFrame({'A': [1, 2, pd.NA, 4]}) # Replace NaN with empty string df.fillna('', inplace=True) print(df)

  2. "pandas fillna with empty string"

    • Description: This search focuses on using the fillna() method in Pandas to replace NaN values with empty strings.
    • Code Implementation:
      import pandas as pd # Create a DataFrame with NaN values df = pd.DataFrame({'A': [1, 2, pd.NA, 4]}) # Fill NaN with empty string df['A'] = df['A'].fillna('') print(df)

  3. "python pandas replace nan with empty string"

    • Description: Seeking Python code snippets specifically for Pandas to replace NaN with empty strings.
    • Code Implementation:
      import pandas as pd # Create a DataFrame with NaN values df = pd.DataFrame({'A': [1, 2, pd.NA, 4]}) # Replace NaN with empty string using replace method df['A'] = df['A'].replace(pd.NA, '') print(df)

  4. "pandas dataframe replace nan with empty string"

    • Description: Looking for Pandas DataFrame methods to replace NaN values with empty strings.
    • Code Implementation:
      import pandas as pd # Create a DataFrame with NaN values df = pd.DataFrame({'A': [1, 2, pd.NA, 4]}) # Replace NaN with empty string using fillna df = df.fillna('') print(df)

  5. "pandas replace nan with blank string in column"

    • Description: Focuses on replacing NaN with empty strings specifically in a particular column of a Pandas DataFrame.
    • Code Implementation:
      import pandas as pd # Create a DataFrame with NaN values df = pd.DataFrame({'A': [1, 2, pd.NA, 4]}) # Replace NaN with empty string in a specific column df['A'] = df['A'].fillna('') print(df)

  6. "python pandas replace nan with nothing"

    • Description: Seeks methods in Python using Pandas to replace NaN values with nothing (i.e., empty strings).
    • Code Implementation:
      import pandas as pd # Create a DataFrame with NaN values df = pd.DataFrame({'A': [1, 2, pd.NA, 4]}) # Replace NaN with empty string using fillna df.fillna('', inplace=True) print(df)

  7. "pandas dataframe fillna with empty string"

    • Description: Targets Pandas DataFrame's fillna() function for replacing NaN values with empty strings.
    • Code Implementation:
      import pandas as pd # Create a DataFrame with NaN values df = pd.DataFrame({'A': [1, 2, pd.NA, 4]}) # Fill NaN with empty string using fillna method df.fillna('', inplace=True) print(df)

  8. "pandas replace na with empty string"

    • Description: Looks for Pandas techniques to replace NA values (NaN) with empty strings.
    • Code Implementation:
      import pandas as pd # Create a DataFrame with NaN values df = pd.DataFrame({'A': [1, 2, pd.NA, 4]}) # Replace NA with empty string using fillna df.fillna('', inplace=True) print(df)

  9. "pandas dataframe replace na with empty string"

    • Description: Focuses on replacing NA values with empty strings specifically in Pandas DataFrames.
    • Code Implementation:
      import pandas as pd # Create a DataFrame with NaN values df = pd.DataFrame({'A': [1, 2, pd.NA, 4]}) # Replace NA with empty string using fillna df = df.fillna('') print(df)

  10. "pandas dataframe replace missing values with empty string"

    • Description: Searches for Pandas DataFrame methods to replace missing values, including NaN, with empty strings.
    • Code Implementation:
      import pandas as pd # Create a DataFrame with NaN values df = pd.DataFrame({'A': [1, 2, pd.NA, 4]}) # Replace missing values with empty string using fillna df.fillna('', inplace=True) print(df)

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