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# Data Processing
^7b1480
## Signal Processing - Filtering
### Low-Pass
### High-Pass
### Band-Pass
## Data Filtering
## Data Cleaning
### Empty Cells
Remove data point - `df.dropna()`
Replace data point - `fillna(130, inplace = True)`
We can use this to replace each data point with mean, median or mode -
```python
x = df["Calories"].mean()
df.fillna({"Calories": x}, inplace=True)
```
###
Example
https://www.w3schools.com/python/pandas/pandas_cleaning.asp
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