yasiu-vis 0.6.3

High level visualisation for pandas and keras, based on matplotlib

Readme of yasiu-vis

High level functions to visualise data.

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 is DataFrame
df: pandas.DataFrame

# Histogram of each fature
summary_plot(df)

# Plotted grouped by 1 column
summary_plot(df, split_windows='group')

# More params
summary_plot(
    df, group_key='petal width (cm)', max_groups=4,
    logy=False, desired_rows=2,
    figure_params=dict(figsize=(12,7)),
    plot_params=dict(alpha=0.7),
    split_windows="None",
)

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()

All packages

1. Native Package

2. Math Package

3. Image Package

4. Visualisation Package