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* Add mplot (for multiple models) function
* Closes #59 
* Closes #67 
* Closes #87 
* Closes #88
* Closes #89
* Closes #99
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LSYS authored Jan 21, 2024
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2 changes: 1 addition & 1 deletion Makefile
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cd examples && runpynb readme-examples.ipynb

BLACK_OPTS := -l 95
SRC_FILES := arg_validators dataframe_utils graph_utils plot text_utils
SRC_FILES := arg_validators dataframe_utils graph_utils text_utils plot mplot
SRC_FILES := $(addprefix forestplot/, $(addsuffix .py, $(SRC_FILES)))
.PHONY: lint
lint: # Check with mypy, pyflakes, black
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52 changes: 52 additions & 0 deletions README.md
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Expand Up @@ -36,6 +36,7 @@ Additional options allow easy addition of columns in the `dataframe` as annotati
> - [Quick Start](#quick-start)
> - [Some Examples with Customizations](#some-examples-with-customizations)
> - [Gallery and API Options](#gallery-and-api-options)
> - [Multi-models](#multi-models)
> - [Known Issues](#known-issues)
> - [Background and Additional Resources](#background-and-additional-resources)
> - [Contributing](#contributing)
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</details>
<p align="right">(<a href="#top">back to top</a>)</p>

<!------------------- Multi-models ------------------->
## Multi-models[![](https://raw.githubusercontent.com/LSYS/forestplot/main/docs/images/pin.svg)](#multi-models)

For coefficient plots where each variable can have multiple estimates (each `model` has one).

```python
import forestplot as fp

df_mmodel = pd.read_csv("../examples/data/sleep-mmodel.csv").query(
"model=='all' | model=='young kids'"
)
df_mmodel.head(3)
```

| | var | coef | se | T | pval | r2 | adj_r2 | ll | hl | model | group | label |
|---:|:------|-----------:|---------:|----------:|---------:|---------:|-----------:|-----------:|--------:|:-----------|:--------------|:------------|
| 0 | age | 0.994889 | 1.96925 | 0.505213 | 0.613625 | 0.127289 | 0.103656 | -2.87382 | 4.8636 | all | age | in years |
| 3 | age | 22.634 | 15.4953 | 1.4607 | 0.149315 | 0.178147 | -0.0136188 | -8.36124 | 53.6293 | young kids | age | in years |
| 4 | black | -84.7966 | 82.1501 | -1.03222 | 0.302454 | 0.127289 | 0.103656 | -246.186 | 76.5925 | all | other factors | =1 if black |

```python
fp.mforestplot(
dataframe=df_mmodel,
estimate="coef",
ll="ll",
hl="hl",
varlabel="label",
capitalize="capitalize",
model_col="model",
color_alt_rows=True,
groupvar="group",
table=True,
rightannote=["var", "group"],
right_annoteheaders=["Source", "Group"],
xlabel="Coefficient (95% CI)",
modellabels=["Have young kids", "Full sample"],
xticks=[-1200, -600, 0, 600],
mcolor=["#CC6677", "#4477AA"],
# Additional kwargs for customizations
**{
"markersize": 30,
# override default vertical offset between models (0.0 to 1.0)
"offset": 0.35,
"xlinestyle": (0, (10, 5)), # long dash for x-reference line
"xlinecolor": ".8", # gray color for x-reference line
},
)
```
<p align="left"><img width="100%" src="https://raw.githubusercontent.com/LSYS/forestplot/mplot-dev/docs/images/multimodel.png"></p>

Please note: This module is still experimental. See [this jupyter notebook](https://nbviewer.org/github/LSYS/forestplot/blob/mplot-dev/examples/test-multmodel-sleep.ipynb) for more examples and tweaks.

<!------------------- GALLERY AND API OPTIONS ------------------->
## Gallery and API Options[![](https://raw.githubusercontent.com/LSYS/forestplot/main/docs/images/pin.svg)](#gallery-and-api-options)
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57 changes: 57 additions & 0 deletions examples/data/sleep-mmodel.csv
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