2020-08-13 12:00:20 +02:00
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---
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id: 5e9a093a74c4063ca6f7c15e
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challengeType: 11
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videoId: sTMN_pdI6S0
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2021-01-13 03:31:00 +01:00
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dashedName: data-cleaning-with-dataframes
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2020-08-13 12:00:20 +02:00
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---
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2020-12-16 00:37:30 -07:00
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# --description--
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2020-08-13 12:00:20 +02:00
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More resources:
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2020-12-16 00:37:30 -07:00
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\- [Notebook](https://notebooks.ai/rmotr-curriculum/data-cleaning-rmotr-freecodecamp-fd76fa59)
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# --question--
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## --text--
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What will the following code print out?
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```py
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import pandas as pd
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import numpy as np
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s = pd.Series([np.nan, 1, 2, np.nan, 3])
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s = s.fillna(method='ffill')
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print(s)
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```
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## --answers--
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```
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0 1.0
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1 1.0
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2 2.0
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3 3.0
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4 3.0
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dtype: float64
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```
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---
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```
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0 NaN
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1 1.0
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2 2.0
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3 2.0
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4 3.0
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dtype: float64
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```
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---
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```
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0 NaN
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1 1.0
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2 2.0
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3 NaN
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4 3.0
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dtype: float64
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```
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## --video-solution--
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2
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