Convert Float to String in pandas DataFrame Column in Python (4 Examples) | Using astype() & apply()
How to convert a float column to the string data type in a pandas DataFrame in the Python programming language. More details: https://statisticsglobe.com/convert-f...
Python code of this video:
import pandas as pd # Load pandas
data = pd.DataFrame({'x1':[1.1, 2.2, 3.3, 4.4, 5.5], # Create pandas DataFrame
'x2':[1.5, 2.5, 3.5, 4.5, 5.5],
'x3':[0.1, 0.2, 0.3, 0.4, 0.5]})
print(data) # Print pandas DataFrame
print(data.dtypes) # Check data types of columns
x1 float64
x2 float64
x3 float64
dtype: object
data_new1 = data.copy() # Create copy of DataFrame
data_new1['x1'] = data_new1['x1'].astype(str) # Transform float to string
print(data_new1.dtypes) # Check data types of columns
x1 object
x2 float64
x3 float64
dtype: object
data_new2 = data.copy() # Create copy of DataFrame
data_new2 = data_new2.astype({'x2': str, 'x3': str}) # Transform multiple floats to string
print(data_new2.dtypes) # Check data types of columns
x1 float64
x2 object
x3 object
dtype: object
data_new3 = data.copy() # Create copy of DataFrame
data_new3 = data_new3.astype(str) # Transform all columns to string
print(data_new3.dtypes) # Check data types of columns
x1 object
x2 object
x3 object
dtype: object
data_new4 = data.copy() # Create copy of DataFrame
data_new4['x1'] = data_new4['x1'].apply(str) # Transform string to float
print(data_new4.dtypes) # Check data types of columns
x1 object
x2 float64
x3 float64
dtype: object
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