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								---
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								id: 5e9a093a74c4063ca6f7c15e
							 
						 
					
						
							
								
									
										
										
										
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								title: Limpar os dados com DataFrames
							 
						 
					
						
							
								
									
										
										
										
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								challengeType: 11
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								videoId: sTMN_pdI6S0
							 
						 
					
						
							
								
									
										
										
										
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								bilibiliIds:
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								  aid: 505597026
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								  bvid: BV1Yg411c7bx
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								  cid: 409018948
							 
						 
					
						
							
								
									
										
										
										
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								dashedName: data-cleaning-with-dataframes
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								---
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								# --description--
  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
									
										
										
										
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								*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
							 
						 
					
						
							
								
									
										
										
										
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								Mais recursos:
							 
						 
					
						
							
								
									
										
										
										
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								-    [Notebooks no GitHub ](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp ) 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								-    [Como abrir notebooks do GitHub usando o Google Colab. ](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb ) 
						 
					
						
							
								
									
										
										
										
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								# --question--
  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								## --text--
  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
									
										
										
										
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								O que será impresso pelo código a seguir?
							 
						 
					
						
							
								
									
										
										
										
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								```py
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								import pandas as pd
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								import numpy as np
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								s = pd.Series([np.nan, 1, 2, np.nan, 3])
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								s = s.fillna(method='ffill')
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								print(s)
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								```
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								## --answers--
  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								< pre >  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								0    1.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								1    1.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								2    2.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								3    3.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								4    3.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								dtype: float64
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								< / pre >  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								---
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								< pre >  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								0    NaN
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								1    1.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								2    2.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								3    2.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								4    3.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								dtype: float64
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								< / pre >  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								---
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								< pre >  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								0    NaN
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								1    1.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								2    2.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								3    NaN
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								4    3.0
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								dtype: float64
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								< / pre >  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								## --video-solution--
  
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								
							 
						 
					
						
							
								
							 
							
								
							 
							
								 
							
							
								2