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import pymeda

import pandas as pd
import sklearn.datasets as datasets

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#Create iris dataset in pandas dataframe
iris = datasets.load_iris()
data = iris.data
columns = iris.feature_names
iris_df = pd.DataFrame(data=data, columns=columns)

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df = pd.read_csv('../data/collman15v2_tight_mean.csv')

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title = 'Collman15v2 Mean Intensity'
cluster_levels = 2 #Set number of times to cluster

meda = pymeda.Meda(data=df, title=title, cluster_levels=2)

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#You can make individual plots by calling the class methods
meda.correlation_matrix()

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meda.heatmap()

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#You can also make all plots at once.
meda.run_all()

(12, 236)

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#Generate a static HTML report
out_dir = './'
meda.generate_report(out_dir)

(12, 236)
Report saved at ./2018-03-14_Collman15v2 Mean Intensity.html

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