How to add an empty column to a dataframe in python?

How to add an empty column to a dataframe in python?

You can add an empty column to a Pandas DataFrame in Python by simply assigning a new column name to the DataFrame with no initial values. Here's how you can do it:

import pandas as pd # Create a sample DataFrame data = {'A': [1, 2, 3], 'B': [4, 5, 6]} df = pd.DataFrame(data) # Add an empty column 'C' df['C'] = None # You can use None or np.nan for NaN values # Print the updated DataFrame print(df)

In this example, we add an empty column 'C' to the DataFrame df by simply assigning it the value of None. You can also use np.nan from the NumPy library to represent missing or NaN values in the column.

The resulting DataFrame will look like this:

 A B C 0 1 4 None 1 2 5 None 2 3 6 None

You can replace None with any default value or use other techniques to fill the column with initial values if needed.

Examples

  1. "Python Pandas add empty column to dataframe"

    • Description: This query focuses on using the Pandas library in Python to add an empty column to a DataFrame.
    • Code:
      import pandas as pd # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Add an empty column 'C' df['C'] = pd.Series(dtype=float) print(df)

  2. "Python DataFrame insert empty column"

    • Description: This query aims to insert an empty column into a DataFrame using native Python DataFrame methods.
    • Code:
      import pandas as pd # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Insert an empty column at position 2 df.insert(2, 'C', pd.Series(dtype=float)) print(df)

  3. "How to append empty column to pandas dataframe?"

    • Description: This query looks for appending an empty column to an existing Pandas DataFrame.
    • Code:
      import pandas as pd # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Append an empty column 'C' df['C'] = pd.Series(dtype=float) print(df)

  4. "Python DataFrame add new column with default value"

    • Description: This query targets adding a new column with a default value to a DataFrame in Python.
    • Code:
      import pandas as pd # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Add a new column 'C' with default value None df['C'] = None print(df)

  5. "How to create an empty column in pandas DataFrame?"

    • Description: This query focuses on creating an empty column in a Pandas DataFrame.
    • Code:
      import pandas as pd # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Create an empty column 'C' df['C'] = '' print(df)

  6. "Python DataFrame add column with NaN values"

    • Description: This query looks for adding a column with NaN (Not a Number) values to a DataFrame.
    • Code:
      import pandas as pd import numpy as np # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Add a column 'C' with NaN values df['C'] = np.nan print(df)

  7. "How to initialize empty column in pandas DataFrame?"

    • Description: This query searches for initializing an empty column in a Pandas DataFrame.
    • Code:
      import pandas as pd # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Initialize an empty column 'C' with None df['C'] = None print(df)

  8. "Python DataFrame add column without values"

    • Description: This query focuses on adding a column to a DataFrame in Python without specifying initial values.
    • Code:
      import pandas as pd # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Add a column 'C' without specifying values df['C'] = '' print(df)

  9. "Pandas DataFrame add new column without data"

    • Description: This query targets adding a new column to a Pandas DataFrame without providing initial data.
    • Code:
      import pandas as pd # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Add a new column 'C' without data df['C'] = None print(df)

  10. "Python DataFrame create empty column at end"

    • Description: This query aims to create an empty column at the end of a DataFrame in Python.
    • Code:
      import pandas as pd # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Create an empty column 'C' at the end df['C'] = '' print(df)

More Tags

laravel-query-builder html-templates mediastore pcm appstore-approval field-description flutter-doctor decompiling email-parsing incompatibletypeerror

More Python Questions

More Pregnancy Calculators

More Electrochemistry Calculators

More Genetics Calculators

More Various Measurements Units Calculators