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Pandas DataFrame infer_objects() Method

❮ DataFrame Reference


Example

Convert the data types to better fit the content:

import pandas as pd

data = {
  "age": ["fifty", 40, 30],
  "qualified": ["No", True, False]
}

df = pd.DataFrame(data)

print("Original DataFrame:")
print(df)
print("Original dtypes:")
print(df.dtypes)

#Remove the first row in both colums:

df = df.iloc[1:]

print("New DataFrame:")
print(df)

newdf = df.infer_objects()

print("New dtypes:")
print(newdf.dtypes)
Try it Yourself »

Definition and Usage

The infer_objects() method returns a new DataFrame where each column has been changed to the best possible data type.


Syntax

dataframe.infer_objects()

Parameters

The infer_objects() method takes no paramters.


Return Value

a Pandas DataFrame with the converted result.


❮ DataFrame Reference