'Series Error when using .dtypes() for pandas

I am relatively new to Python / Pandas and I am trying to print out the type of values for each column in my data frame. However, when I try to use the .dtypes() function I am getting a series error.

Here is some of the code I am using:

file = pd.read_csv('Nudge.csv', sep=",")


data = pd.DataFrame({'SR_ID': file['SR ID'], 'On_Time_%': file['On-Time %'], '#_Tardy': file['# Unex Tardy'],
'Tardy_Rank': file['Tardy Rank']})


new_data = data.sort_values(by='On_Time_%', ascending=True)
# print(new_data)
print(data.dtypes())


TypeError: 'Series' object is not callable

Solution 1:^[1]

dtypes is not a function rather a variable. It should be called like this,

print(data.dtypes)

Solution 2:^[2]

Just use data.dtypes instead of data.dtypes(), as it is an attribute and no function.

This will return something like:

ID        object
Year      object
Month     object
Amount    object
dtype: object

Sources

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Source: Stack Overflow

Solution	Source
Solution 1	Alagappan
Solution 2	Marco_CH

'Series Error when using .dtypes() for pandas

Solution 1:[1]

Solution 2:[2]

Sources

Related Questions

Solution 1:^[1]

Solution 2:^[2]