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id, title, challengeType, videoId, bilibiliIds, dashedName
| id | title | challengeType | videoId | bilibiliIds | dashedName | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 5e9a093a74c4063ca6f7c15e | Data Cleaning with DataFrames | 11 | sTMN_pdI6S0 |
|
data-cleaning-with-dataframes |
--description--
Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.
More resources:
--questions--
--text--
What will the following code print out?
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--
0 1.0 1 1.0 2 2.0 3 3.0 4 3.0 dtype: float64
0 NaN 1 1.0 2 2.0 3 2.0 4 3.0 dtype: float64
0 NaN 1 1.0 2 2.0 3 NaN 4 3.0 dtype: float64
--video-solution--
2