How to add columns to an empty pandas dataframe?

How to add columns to an empty pandas dataframe?

To add columns to an empty Pandas DataFrame, you can simply assign new columns to it using dictionary keys or by using the df[<column_name>] notation. Here are two ways to add columns to an empty Pandas DataFrame:

  • Using Dictionary Keys:

You can use dictionary keys to assign columns and their values to an empty DataFrame.

import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add columns using dictionary keys df['column1'] = [1, 2, 3] df['column2'] = ['A', 'B', 'C'] print(df)
  • Using df[<column_name>]:

You can also add columns directly by using the df[<column_name>] notation.

import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add columns using df[<column_name>] notation df['column1'] = [1, 2, 3] df['column2'] = ['A', 'B', 'C'] print(df)

In both examples, you start by creating an empty DataFrame with pd.DataFrame(). Then, you add columns by assigning them values using dictionary keys or the df[<column_name>] notation. The result will be a DataFrame with the added columns and their values.

Keep in mind that all columns must have the same number of elements when you're adding columns to a DataFrame.

Examples

  1. How to add columns to an empty pandas DataFrame in Python

    Description: If you have an empty DataFrame in pandas and need to add columns to it, you can simply assign values to new column names.

    import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add columns with values df['Column1'] = [1, 2, 3] df['Column2'] = ['A', 'B', 'C']

  2. Adding multiple columns to an empty pandas DataFrame

    Description: To add multiple columns to an empty DataFrame in pandas, you can assign lists or arrays to each new column.

    import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add multiple columns df['Column1'] = [1, 2, 3] df['Column2'] = ['A', 'B', 'C']

  3. Python pandas add columns to empty DataFrame

    Description: In pandas, you can add columns to an empty DataFrame by simply assigning values to new column names.

    import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add columns with values df['Column1'] = [1, 2, 3] df['Column2'] = ['A', 'B', 'C']

  4. How to add a column to a pandas DataFrame with no data

    Description: To add a column to a pandas DataFrame that has no data, you can directly assign values to the new column name.

    import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add a column with values df['NewColumn'] = [10, 20, 30]

  5. Pandas DataFrame add columns from list

    Description: To add columns to a pandas DataFrame from a list, you can assign the list to a new column name.

    import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Create a list of column values column_values = [10, 20, 30] # Add a column from the list df['NewColumn'] = column_values

  6. Adding columns to an empty DataFrame in pandas

    Description: You can add columns to an empty DataFrame in pandas by assigning values to new column names.

    import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add columns with values df['Column1'] = [1, 2, 3] df['Column2'] = ['A', 'B', 'C']

  7. How to add a column to an empty DataFrame in pandas

    Description: To add a column to an empty DataFrame in pandas, you can directly assign values to the new column name.

    import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add a column with values df['NewColumn'] = [10, 20, 30]

  8. Python pandas add column to empty DataFrame

    Description: You can add a column to an empty DataFrame in pandas by simply assigning values to the new column name.

    import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add a column with values df['NewColumn'] = [10, 20, 30]

  9. How to add multiple columns to an empty DataFrame in pandas

    Description: To add multiple columns to an empty DataFrame in pandas, you can assign lists or arrays to each new column.

    import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add multiple columns df['Column1'] = [1, 2, 3] df['Column2'] = ['A', 'B', 'C']

  10. Pandas DataFrame add columns with default values

    Description: You can add columns to a pandas DataFrame with default values by assigning the default value to the new column name.

    import pandas as pd # Create an empty DataFrame df = pd.DataFrame() # Add columns with default values df['Column1'] = [0] * len(df) df['Column2'] = ['default'] * len(df)

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