You can convert a NumPy array to a Pandas DataFrame using the pd.DataFrame constructor:
import numpy as np import pandas as pd array = np.array([1, 2, 3, 4, 5]) df = pd.DataFrame(array)
array is the NumPy array to be converted to a DataFrame.
pd.DataFrame(array) creates a new DataFrame with a single column and the same number of rows as the input array.
You can also specify the column names for the DataFrame:
df = pd.DataFrame(array, columns=["column_name"])
columns=[“column_name”] specifies the name of the column in the DataFrame.
See also:
How to remove outliers in Pandas
How to remove outliers in Pandas