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High level Visualisation for pandas and keras, based on matplotlib

Project description

Readme of yasiu-vis

High level functions, to quickly visualise data frames.

Installation

pip install yasiu-vis

Modules list

  • 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, split_windows='group')
summary_plot(
    df, group_key='petal width (cm)', max_groups=4,
    plot_params=dict(alpha=0.7),
)

Dataset Summary Plot

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)
plt.show()

Keras Weights

All packages

1. Native Package

2. Math Package

3. Image Package

4. Visualisation Package

Project details


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