8.3 Plotting with Missing Data
Pandas tries to be pragmatic about plotting DataFrames or Series that contain missing data. Missing values are dropped, left out, or filled depending on the plot type.
| Plot Type | NaN Handling |
|---|---|
| Line | Leave gaps at NaNs |
| Line (stacked) | Fill 0’s |
| Bar | Fill 0’s |
| Scatter | Drop NaNs |
| Histogram | Drop NaNs (column-wise) |
| Box | Drop NaNs (column-wise) |
| Area | Fill 0’s |
| KDE | Drop NaNs (column-wise) |
| Hexbin | Drop NaNs |
| Pie | Fill 0’s |
If any of these defaults are not what you want, or if you want to be
explicit about how missing values are handled, consider using
fillna() or dropna()
before plotting.