How can I clean data using Pandas in Python?

How can I clean data using Pandas in Python?

You can clean data in Pandas by using functions like dropna(), fillna(), and replace(). What specific cleaning tasks do you need help with?

I need to remove rows with missing values.

You can use the dropna() function. For example, df.dropna() will remove all rows with any missing values. Would you like to know how to handle missing values differently?

Yes, how can I fill missing values instead?

You can use the fillna() function. For instance, df.fillna(value) replaces missing values with the specified value. You can also use methods like ffill or bfill to propagate the next or previous values.

What if I want to replace specific values in a column?

You can use the replace() function. For example, df['column_name'].replace(old_value, new_value) will replace specific values in that column.