Add preprocessing utility to replace None representations
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new feature
- 主要语言
- Python
- 星标
- 155
- 派生
- 24
- PR 合并指标
- 30 天内没有已合并 PR
描述
- As a user, I wish I could use Woodwork to replace None representations (None, 'nan', ' ' (empty string))
#### Code Example
```python
import pandas as pd
import woodwork as ww
df = pd.read_csv("https://api.featurelabs.com/datasets/online-retail-logs-2018-08-28.csv")
df.ww.init(name='retail', replace_none=True)
```
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