How to check whether a pandas DataFrame is empty?

How to check whether a pandas DataFrame is empty?

You can check whether a Pandas DataFrame is empty by using the empty attribute of the DataFrame. The empty attribute returns True if the DataFrame has no data (i.e., no rows and no columns), and False otherwise. Here's how to use it:

import pandas as pd # Create an empty DataFrame empty_df = pd.DataFrame() # Check if the DataFrame is empty if empty_df.empty: print("The DataFrame is empty.") else: print("The DataFrame is not empty.")

In this example, we first create an empty DataFrame called empty_df. Then, we use the empty attribute to check if it's empty, and based on the result, we print an appropriate message.

If the DataFrame has no data, you'll see the message "The DataFrame is empty." If the DataFrame has data (even just one row or one column), the message "The DataFrame is not empty." will be printed.

You can use this method to check whether any Pandas DataFrame is empty in your code.

Examples

  1. "Python pandas check if DataFrame is empty"

    • Description: This query is a common task for Python users working with Pandas DataFrames, seeking a way to determine if a DataFrame contains any data.
    import pandas as pd def is_dataframe_empty(df): return df.empty # Example usage df = pd.DataFrame() print(is_dataframe_empty(df)) # Output: True

  2. "How to test if pandas DataFrame has no rows"

    • Description: Users may want to check if a DataFrame contains no rows, effectively determining if it's empty.
    import pandas as pd def has_no_rows(df): return df.shape[0] == 0 # Example usage df = pd.DataFrame() print(has_no_rows(df)) # Output: True

  3. "Check if pandas DataFrame is null or empty"

    • Description: Users may seek to understand how to determine if a Pandas DataFrame is either null or empty, similar to how they would in other data structures.
    import pandas as pd def is_null_or_empty(df): return df is None or df.empty # Example usage df = pd.DataFrame() print(is_null_or_empty(df)) # Output: True

  4. "Python check if pandas DataFrame is empty or not"

    • Description: Users may search for a straightforward method to check whether a Pandas DataFrame is empty or contains data.
    import pandas as pd def is_empty_dataframe(df): return df.empty # Example usage df = pd.DataFrame() print(is_empty_dataframe(df)) # Output: True

  5. "Pandas DataFrame is empty check in Python"

    • Description: Users may search for a concise way to check if a Pandas DataFrame is empty, often as part of their data preprocessing or validation routines.
    import pandas as pd def is_empty(df): return df.empty # Example usage df = pd.DataFrame() print(is_empty(df)) # Output: True

  6. "How to determine if pandas DataFrame is empty in Python"

    • Description: This query reflects users' straightforward intent to find a method to determine whether a Pandas DataFrame is empty.
    import pandas as pd def is_dataframe_empty(df): return df.empty # Example usage df = pd.DataFrame() print(is_dataframe_empty(df)) # Output: True

  7. "Pandas check if DataFrame is empty without using empty()"

    • Description: Some users might want alternative methods to check if a Pandas DataFrame is empty without using the empty() function.
    import pandas as pd def is_empty_without_empty(df): return len(df) == 0 # Example usage df = pd.DataFrame() print(is_empty_without_empty(df)) # Output: True

  8. "Python pandas test if DataFrame is empty or null"

    • Description: Users may search for a way to perform a combined test to check if a Pandas DataFrame is either empty or null.
    import pandas as pd def is_empty_or_null(df): return df is None or df.empty # Example usage df = pd.DataFrame() print(is_empty_or_null(df)) # Output: True

  9. "Check if pandas DataFrame is empty using shape"

    • Description: Users might seek methods to check if a Pandas DataFrame is empty using its shape attribute.
    import pandas as pd def is_empty_using_shape(df): return df.shape[0] == 0 # Example usage df = pd.DataFrame() print(is_empty_using_shape(df)) # Output: True

  10. "Python pandas check if DataFrame is empty or not using len()"

    • Description: Users might attempt to use the len() function to check for DataFrame emptiness, akin to other Python data structures, although len() behaves differently with DataFrames.
    import pandas as pd def is_empty_using_len(df): return len(df) == 0 # Example usage df = pd.DataFrame() print(is_empty_using_len(df)) # Output: True

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