Dataframe is an object created by the Pandas package when you read any datasets. It makes the manipulation of columns and rows easy. The to_datatime method allows you to convert date and time to datetime type. But you may encounter with error AttributeError: dataframe’ object has no attribute ‘to_datetime’. In this entire post, you will learn how to solve this error quickly.
The root cause for getting this error is that you must be using the to_datetime method wrongly. Most of cases the developers get this error when you use the to_datetime() method like your_dataframe.to_datetime() or the entire dataframe.
Let’s create a sample dataframe for demonstrating the example. Use the below lines of code to create it.
import numpy as np
import pandas as pd
np.random.seed(0)
df = pd.DataFrame({'col1': list('pqrstuv'), 'col2': np.random.choice(10, 7),
'col3':["01-01-2022","02-01-2022","03-01-2022","04-01-2022","05-01-2022","06-01-2022","07-01-2022"]})
df
Output
Now you will get the error dataframe’ object has no attribute ‘to_datetime’ when you apply the to_datetime() method on the entire dataframe.
import numpy as np
import pandas as pd
np.random.seed(0)
df = pd.DataFrame({'col1': list('pqrstuv'), 'col2': np.random.choice(10, 7),
'col3':["01-01-2022","02-01-2022","03-01-2022","04-01-2022",
"05-01-2022","06-01-2022","07-01-2022"]})
df.to_datetime(df["col3"],)
df
Output
To solve this error you have to use the to_datatime() method on the pandas alias you have used while importing pandas packages like import pandas as pd.
Let’s apply the pd.to_datetime() to the column that contains the date.
Run the below lines of code to convert the date column to datetime object.
import numpy as np
import pandas as pd
np.random.seed(0)
df = pd.DataFrame({'col1': list('pqrstuv'), 'col2': np.random.choice(10, 7),
'col3':["01-01-2022","02-01-2022","03-01-2022","04-01-2022","05-01-2022","06-01-2022","07-01-2022"]})
pd.to_datetime(df["col3"],)
df
Output
You are getting dataframe’ object has no attribute ‘to_datetime’ as you are using the to_datetime() method using your_dataframe.to_datetime(). It can be easily solved if you use pandas.to_datetime() method on a particular column.
If you are getting this error then the above method will solve the error. To know more about AttributeErrors, please read the below article.
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