How can I map True/False to 1/0 in a Pandas DataFrame?

Question

Can anyone tell me, How can I map True/False to 1/0 in a Pandas Dataframe? Is there any quick way to do that?

Answer 1

Yes, there is a quick way to map True and False values to 1 and 0 in a Pandas DataFrame. You can use the astype() function along with the int data type to achieve this mapping. Here's an example:

import pandas as pd

# Create a sample DataFrame

df = pd.DataFrame({'column_name': [True, False, True, False]})

# Map True/False to 1/0

df['column_name'] = df['column_name'].astype(int)

# Output the updated DataFrame

print(df)

In this code, the astype() function is applied to the 'column_name' column of the DataFrame. By specifying int as the argument, the boolean values (True and False) are converted to their corresponding integer representations (1 and 0). The DataFrame is then updated with the mapped values. Finally, the updated DataFrame is printed using print().

Answer 2

A compact method to change a single column of boolean qualities/values over to a section of integers 1 or 0:

df["somecolumn"] = df["somecolumn"].astype(int)

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Answer 3

import pandas as pd

# Create a sample DataFrame

df = pd.DataFrame({'column_name': [True, False, True, False]})

# Map True/False to 1/0

df['column_name'] = df['column_name'].astype(int)

# Display the updated DataFrame

print(df)

In this, a Pandas DataFrame is created with a column named 'column_name' containing boolean values. The astype() function is then used to convert the boolean values to integers (True to 1 and False to 0). The DataFrame is updated with the mapped values, and the resulting DataFrame is displayed using print().

Answer 4

import pandas as pd

df = pd.DataFrame({'column_name': [True, False, True, False]})

df['column_name'] = df['column_name'].astype(int)

print(df)

A Pandas DataFrame is created with a column named 'column_name' containing boolean values. The astype() function is directly applied to the column to convert the boolean values to integers (True to 1 and False to 0). The DataFrame is updated with the mapped values, and the resulting DataFrame is printed using print().