Pandas Series.dtypes

Pandas Series.dtypes property

In this tutorial, we'll go through examples for the Pandas Series.dtypes property, which returns the dtype object of the underlying Series data.

Examples for Series.dtypes property

1. Getting dtype of the given Series

In the following program, we take a Series object in series_data, get the dtype of the data in this Series object using Series.dtypes property, and print the dtype to output.

Python Program

import pandas as pd

# Create a Pandas Series
series_data = pd.Series([10, 20, 30, 40, 50])

# Get dtype of Series data
dtype = series_data.dtypes

# Display the result
print(dtype)

Output

int64

2. Getting dtype of the Series with mixed type values

In the following program, we take a Series object in series_data, get the dtype of the data in this Series object using Series.dtypes property, and print the dtype to output.

Python Program

import pandas as pd

# Create a Pandas Series
series_data = pd.Series(['apple', 20, 'Abc Complany', 4.452])

# Get dtype of Series data
dtype = series_data.dtypes

# Display the result
print(dtype)

Output

object

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