Sai A
Updated date Apr 03, 2024
In this blog, we explore five different methods for converting a float array to an int array in Python. The methods include using the map() function, a loop, numpy, list comprehension, and pandas.
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## Method 1: Using the map() function

The `map()` function is a built-in Python function that applies a given function to each element of an iterable and returns an iterator of the results. We can use this function to apply the `int()` function to each element of the float array, which will convert each element to an integer.

``````float_array = [1.2, 2.5, 3.7, 4.0, 5.8]
int_array = list(map(int, float_array))
print(int_array)
``````

### Output:

``````[1, 2, 3, 4, 5]
``````

## Method 2: Using a loop

We can iterate over the elements of the float array and apply the int() function to each element, and append the resulting integer to a new int array.

``````float_array = [1.2, 2.5, 3.7, 4.0, 5.8]
int_array = []
for element in float_array:
int_array.append(int(element))
print(int_array)
``````

### Output:

``````[1, 2, 3, 4, 5]
``````

## Method 3: Using numpy

The numpy library is a popular Python library for scientific computing and data analysis. It provides efficient and optimized functions for working with arrays and matrices. We can use the numpy library to convert a float array to an int array by calling the `astype()` method and passing 'int' as the argument.

``````import numpy as np

float_array = np.array([1.2, 2.5, 3.7, 4.0, 5.8])
int_array = float_array.astype(int)
print(int_array)
``````

Output:

``````[1 2 3 4 5]
``````

## Method 4: Using list comprehension

We can use list comprehension to create a new list of integers from a float array, by applying the `int()` function to each element of the float array.

``````float_array = [1.2, 2.5, 3.7, 4.0, 5.8]
int_array = [int(element) for element in float_array]
print(int_array)
``````

### Output:

``````[1, 2, 3, 4, 5]
``````

## Method 5: Using pandas

Pandas provides optimized functions for working with dataframes and series, which are similar to tables and columns in a database. We can use the pandas library to convert a float array to an int array by creating a series object and calling the `astype()` method with 'int' as the argument.

``````import pandas as pd

float_array = [1.2, 2.5, 3.7, 4.0, 5.8]
float_series = pd.Series(float_array)
int_series = float_series.astype(int)
int_array = int_series.to_list()
print(int_array)
``````

### Output:

``````[1, 2, 3, 4, 5]
``````