python pandas zerodivisionerror float division by zero
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title: handling zerodivisionerror in python pandas: float division by zero
introduction:
python pandas is a powerful library for data manipulation and analysis. however, when working with data, you may encounter situations where you attempt to perform float division, and a zerodivisionerror is raised due to division by zero. in this tutorial, we will explore how to handle this error gracefully using pandas.
code example:
explanation:
importing pandas: start by importing the pandas library.
creating a sample dataframe: create a sample dataframe (df) with columns 'a' and 'b' to simulate a situation where division by zero might occur.
defining a safe division function: create a function safe_division that performs the division operation and handles the zerodivisionerror gracefully by returning 0 when a division by zero is encountered.
applying the safe division function: use the apply function to apply the safe_division function to each row of the dataframe, calculating a new column 'c' with the result of the safe division.
displaying the results: print the original dataframe ('a' and 'b' columns) and the modified dataframe with the additional 'c' column, showing the results of the safe division.
conclusion:
by using a try-except block, you can handle zerodivisionerror when performing float division in python pandas. this ensures that your data manipulation operations are robust and do not break due to division by zero scenarios.
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