Convert a NumPy array to a Pandas series Last Updated : 18 Aug, 2020 Comments Improve Suggest changes Like Article Like Report Let us see how to convert a NumPy array to a Pandas series. A NumPy array can be converted into a Pandas series by passing it in the pandas.Series() function. Example 1 : Python3 # importing the modules import numpy as np import pandas as pd # creating an NumPy array array = np.array([10, 20, 1, 2, 3, 4, 5, 6, 7]) # displaying the NumPy array print("Numpy array is :") display(array) # converting the NumPy array # to a Pandas series series = pd.Series(array) # displaying the Pandas series print("Pandas Series : ") display(series) Output : Example 2 : Python3 # importing the modules import numpy as np import pandas as pd # creating an NumPy array array = np.random.rand(5) # displaying the NumPy array print("Numpy array is :") display(array) # converting the NumPy array # to a Pandas series series = pd.Series(array) # displaying the Pandas series print("Pandas Series : ") display(series) Output : Comment More infoAdvertise with us Next Article Convert a NumPy array to a Pandas series A Akashkumar17 Follow Improve Article Tags : Python Python-pandas Python pandas-series Practice Tags : python Similar Reads NumPy Array vs Pandas Series In the realm of data science and numerical computing in Python, two powerful tools stand out: NumPy and Pandas. These libraries play a crucial role in handling and manipulating data efficiently. Among the numerous components they offer, NumPy arrays and Pandas Series are fundamental data structures 4 min read Create a Pandas Series from Array A Pandas Series is a one-dimensional labeled array that stores various data types, including numbers (integers or floats), strings, and Python objects. It is a fundamental data structure in the Pandas library used for efficient data manipulation and analysis. In this guide we will explore two simple 2 min read How to convert a dictionary to a Pandas series? Let's discuss how to convert a dictionary into pandas series in Python. A series is a one-dimensional labeled array which can contain any type of data i.e. integer, float, string, python objects, etc. while dictionary is an unordered collection of key : value pairs. We use series() function of panda 2 min read Convert Python List to numpy Arrays NumPy arrays are more efficient than Python lists, especially for numerical operations on large datasets. NumPy provides two methods for converting a list into an array using numpy.array() and numpy.asarray(). In this article, we'll explore these two methods with examples for converting a list into 4 min read Convert a 1D array to a 2D Numpy array Here we will learn how to convert 1D NumPy to 2D NumPy Using two methods. Numpy is a Python package that consists of multidimensional array objects and a collection of operations or routines to perform various operations on the array and processing of the array. Convert a 1D array to a 2D Numpy arr 3 min read Create Pandas Series using NumPy functions A Pandas Series is like a one-dimensional array which can store numbers, text or other types of data. NumPy has built-in functions that generate sequences, random values or repeated numbers In this article, we'll learn how to create a Pandas Series using different functions from the NumPy library.Me 2 min read Convert a NumPy array to Pandas dataframe with headers To convert a numpy array to pandas dataframe, we use pandas.DataFrame() function of Python Pandas library. Syntax: pandas.DataFrame(data=None, index=None, columns=None) Parameters: data: numpy ndarray, dict or dataframe index: index for resulting dataframe columns: column labels for resulting datafr 1 min read Convert a NumPy array into a CSV file After completing your data science or data analysis project, you might want to save the data or share it with others. Exporting a NumPy array to a CSV file is the most common way of sharing data. CSV file format is the easiest and most useful format for storing data and is convenient to share with o 3 min read Creating Series from list, dictionary, and numpy array in Pandas Pandas Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.). The axis labels are collectively called index. Pandas Series is nothing but a column in an excel sheet. In this article, we will see various ways of creating a series 2 min read Ways to Convert a Python Dictionary to a NumPy Array The task of converting a dictionary to a NumPy array involves transforming the dictionary’s key-value pairs into a format suitable for NumPy. In Python, there are different ways to achieve this conversion, depending on the structure and organization of the resulting array.For example, consider a dic 3 min read Like