75 lines
1.1 KiB
Markdown
75 lines
1.1 KiB
Markdown
---
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id: 5e9a093a74c4063ca6f7c15e
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title: Limpieza de datos con DataFrames
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challengeType: 11
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videoId: sTMN_pdI6S0
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bilibiliIds:
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aid: 505597026
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bvid: BV1Yg411c7bx
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cid: 409018948
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dashedName: data-cleaning-with-dataframes
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---
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# --description--
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*En lugar de usar notebooks.ai como se muestra en el vídeo, puede utilizar Google Colab en su lugar.*
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Más recursos:
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- [Notebooks en GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
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- [Cómo abrir Notebooks desde GitHub utilizando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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# --question--
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## --text--
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¿Qué imprimirá el siguiente código?
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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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<pre>
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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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</pre>
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---
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<pre>
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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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</pre>
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---
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<pre>
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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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</pre>
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## --video-solution--
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2
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