To convert time to AM/PM format in pandas, you can use the strftime function along with the %I and %p format codes.
First, ensure the time column is in datetime format by using the pd.to_datetime() function. Then, use the strftime function with the format code %I:%M %p to convert the time to AM/PM format.
For example, if your time column is named 'Time', you can convert it to AM/PM format by using the following code:
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df['Time'] = pd.to_datetime(df['Time']) df['Time'] = df['Time'].dt.strftime('%I:%M %p') |
This will convert the time in the 'Time' column to AM/PM format.
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What is the easiest way to convert time to am/pm in pandas?
One easy way to convert time to am/pm in pandas is by using the dt.strftime function. You can first ensure that the column containing the time values is in datetime format, and then use the dt.strftime function to convert the time values to am/pm format.
Here is an example code snippet that demonstrates this:
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import pandas as pd # Create a sample DataFrame with a column containing time values data = {'time': ['12:30:00', '15:45:00', '21:00:00']} df = pd.DataFrame(data) # Convert the 'time' column to datetime format df['time'] = pd.to_datetime(df['time']) # Convert the time values to am/pm format df['time_am_pm'] = df['time'].dt.strftime('%I:%M %p') # Display the DataFrame with time values in am/pm format print(df) |
This code snippet first creates a sample DataFrame with a column containing time values, converts the time values to datetime format, and then uses the dt.strftime function to convert the time values to am/pm format. Finally, it displays the DataFrame with the time values in am/pm format in a new column called time_am_pm.
How to convert time strings to am/pm format in pandas?
You can convert time strings to am/pm format in pandas by using the to_datetime() function followed by the strftime() function. Here's an example code snippet to demonstrate this:
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import pandas as pd # Create a DataFrame with time strings df = pd.DataFrame({'time': ['13:30:00', '09:45:00', '18:15:00']}) # Convert time strings to datetime format df['time'] = pd.to_datetime(df['time']) # Convert datetime format to am/pm format df['time_ampm'] = df['time'].dt.strftime('%I:%M %p') # Display the DataFrame print(df) |
Output:
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time time_ampm 0 1900-01-01 13:30:00 01:30 PM 1 1900-01-01 09:45:00 09:45 AM 2 1900-01-01 18:15:00 06:15 PM |
In this code snippet, we first convert the time strings in the 'time' column to datetime format using the pd.to_datetime() function. Then, we use the dt.strftime() function to convert the datetime format to the desired am/pm format ("%I:%M %p"). Finally, we store the converted time strings in a new column 'time_ampm' in the DataFrame.
What is the best way to convert time to am/pm using pandas?
One way to convert time to am/pm using pandas is to use the strftime function from the datetime module. Here is an example code snippet:
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import pandas as pd from datetime import datetime data = {'time': ['13:30', '16:45', '21:15']} df = pd.DataFrame(data) df['time'] = pd.to_datetime(df['time'], format='%H:%M').dt.strftime('%I:%M %p') print(df) |
This code will convert the time column in the dataframe from 24-hour format to am/pm format. The dt.strftime('%I:%M %p') function formats the datetime object into the desired am/pm format.
