How to create Pandas DataFrame from a Numpy array in Python?

Today, We want to share with you numpy array to pandas dataframe.In this post we will show you convert numpy.ndarray to dataframe python, hear for numpy array to dataframe column we will give you demo and example for implement.In this post, we will learn about polymorphism in python with an example.

create pandas dataframe from multiple numpy arrays

A simple Pandas DataFrame is a main two-dimensional numpy array data structure that can be created using the data from a NumPy array example.

USE pd.DataFrame() TO CREATE A PANDAS DATAFRAME

Calling pd.DataFrame(data=None, index=None, columns=None) with data added to a NumPy array, index added to a list of row names, as well as column added to a list of column names to create a Pandas DataFrame.

numpy_data = np.array([[1, 2], [3, 4]])
df = pd.DataFrame(data=numpy_data, index=["row1", "row2"], columns=["datacol1", "datacol2"])
print(df)

RESULTS

      datacol1  datacol2
row1        1        2
row2        3        4

I hope you get an idea about numpy array to dataframe column.
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