dataframe’ object has no attribute ‘dtype’ ( Solved )

dataframe' object has no attribute 'dtype' ( Solved )

You must have an understanding of the pandas dataframe. It allows you to convert any dataset to dataframe so that you can easily manipulate the datasets. All dataframes have columns of a particular datatype. You can find the type of the values of the column using the “dtype” attribute. But you may encounter the error AttributeError: dataframe’ object has no attribute ‘dtype‘. In this post, you will know how to solve it easily.

The root cause of the AttributeError: dataframe’ object has no attribute ‘dtype’ error

The root cause of this attributeError is that you are not using the “dtype” attribute correctly to find the type of the columns. You must apply dtype on the entire dataframe.

You will get the error when you will run the below lines of code.

import pandas as pd
data = {"name":["Rob","Bam","Maya","Rahul"],"age":[23,25,26,32],
        "country":["USA","UK","France","Germany"]}
df = pd.DataFrame(data)
df.dtype

Output

AttributeError DataFrame object has no attribute dtype
AttributeError DataFrame object has no attribute dtype

Solution of the dataframe’ object has no attribute ‘dtype’ error

The solution of this attributeeror is very simple. You have to properly use the dtype attribute. Instead of using the dtype on the entire dataframe use it on a particular column.

For example, if I want to find the type of the column age then  I will use the following lines of code.

import pandas as pd
data = {"name":["Rob","Bam","Maya","Rahul"],"age":[23,25,26,32],
        "country":["USA","UK","France","Germany"]}
df = pd.DataFrame(data)
df["age"].dtype

Output

type of the column age
type of the column age

You can see I am not getting any errors.

You can also find the type of columns for the entire dataframe using the dtypes.  It will return the data type of the values of each column of the dataframe as a list.

import pandas as pd
data = {"name":["Rob","Bam","Maya","Rahul"],"age":[23,25,26,32],
        "country":["USA","UK","France","Germany"]}
df = pd.DataFrame(data)
df.dtypes

Output

name object
age int64
country object
dtype: object

Conclusion

Most of the attributeerror occur due to the fact that coders use the attribute or function in the wrong way. Like in this case you are getting errors as you are applying dtype on the entire dataframe which is wrong. To find types of the value for each column you have to use the dtype on that columns. The above method will solve this attributeerror if you are getting an error.

I hope you have liked this tutorial. If you have any doubts then you can contact us for more help.

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