yasiu-vis 0.5.2

High level, simple data visualisation

Readme of yasiu-vis

High level functions, to quickly visualise data frames.

Installation

pip install yasiu-vis

Package Contains

• ykeras: Visualisation made for keras.Model
• ypandas: Visualisation made for pandas.DataFrame

Examples

Pandas - Drawing data frame

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

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.suptitle("Sequnetial model with dense layers. Weights are scaled for readability", size=20)
# Adjust values per model and plot size
plt.tight_layout()
# use all space in figure
plt.show()

All packages

1. Native Package

2. Math Package

3. Image Package

4. Visualisation Package