# Readme of `yasiu-vis`
High level functions, to quickly visualise data frames.
# Installation
```shell
pip install yasiu-vis
```
# Package Contains
- **ykeras**: Visualisation made for keras.Model
- **ypandas**: Visualisation made for pandas.DataFrame
# Examples
## Pandas - Drawing data frame
```py
from yasiu_vis.ypandas import summary_plot
# df: pandas.DataFrame
summary_plot(df)
summary_plot(df, group="column-name")
summary_plot(
df, group_key='petal width (cm)', max_groups=4,
plot_params=dict(alpha=0.7), legend_place='subplot'
)
```
## Keras - Ploting Neural Network layers
```py
from yasiu_vis.ykeras import plotLayersWeights
from matpotlib import pyplot as plt
import keras
model : keras.models.Sequential # Keras compiled model
plotLayersWeights(model.layers, innerCanvas=1, figsize=(20, 15), dpi=70, scaleWeights=1000)
plt.subplots_adjuts(wspace=0.1, top=0.95)
# Adjust values per model and plot size
plt.tight_layout()
# use all space in figure
plt.show()
```
# All packages
[1. Native Package](https://pypi.org/project/yasiu-native/)
[2. Math Package](https://pypi.org/project/yasiu-math/)
[3. Image Package](https://pypi.org/project/yasiu-image/)
[4. Visualisation Package](https://pypi.org/project/yasiu-vis/)
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