Python Pandas Filter Missing data Tutorial-11

This video will explain how to filter missing data from series and dataframe data structure of pandas. Visit complete course on Data Science with Python : https://www.udemy.com/data-science-with-python-and-pandas/?couponCode=YTSOCIAL090 For All other visit my udemy profile at : https://www.udemy.com/user/ankitmistry/ # coding: utf-8 # # Filter Missing data # Data = pd.Series([1,np.NAN,4,5,np.NAN,6]) # data1 = pd.DataFrame([[5., 2.9, 8.], [1.5, np.NAN, np.NAN],[np.NAN, np.NAN, np.NAN], [np.NAN, 6.2, 23.]]) # df = pd.DataFrame(np.random.randn(4, 3)) # # Row level Drop import pandas as pd import numpy as np Data = pd.Series([1,np.NAN,4,5,np.NAN,6]) Data Data.dropna() data1 = pd.DataFrame([[5., 2.9, 8.], [1.5, np.NAN, np.NAN],[np.NAN, np.NAN, np.NAN], [np.NAN, 6.2, 23.]]) data1 data1.dropna() data1.dropna(how='all') # # Column Level Drop data1 data1.dropna(axis=1) data1.dropna(axis=1, how='all') # # Filter Based on thresold data1.dropna(thresh=1) data1.dropna(thresh=2)