how to check whether a row contains a numeric value or not in df

To check whether a row contains a numeric value or not in a dataframe, you can use the applymap function along with the isnumeric method in Python. Here's an example:

import pandas as pd

# Create a sample dataframe
df = pd.DataFrame({'A': ['apple', 'banana', '123', 'orange'],
                   'B': ['grape', '456', 'cherry', 'pear'],
                   'C': ['kiwi', 'melon', '789', 'strawberry']})

# Check if each element in the dataframe is numeric
numeric_df = df.applymap(lambda x: x.isnumeric())

# Check if any row contains a numeric value
row_contains_numeric = numeric_df.any(axis=1)

# Print the rows that contain numeric values
print(df[row_contains_numeric])

This code will output the rows that contain numeric values in the dataframe. The applymap function applies the isnumeric method to each element in the dataframe, returning a boolean dataframe where True indicates a numeric value. The any function is then used to check if any row contains a numeric value, and the resulting boolean series is used to filter the original dataframe.

Please note that the isnumeric method checks if a string is numeric, so it may not work for other data types. If you have non-string data types in your dataframe, you may need to convert them to strings before using the isnumeric method.

I hope this helps! Let me know if you have any further questions.