application_vnd.jupyter.stderr_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

data = pd.read_csv('../input/data.csv')

import seaborn as sns
from pandas.plotting import scatter_matrix
import matplotlib.cm as cm
import matplotlib.pyplot as plt
data['diagnosis'] = data['diagnosis'].map({'M': 1, 'B': 0})
y = pd.DataFrame(data=data['diagnosis'])
list = ['Unnamed: 32', 'id', 'diagnosis']
x = data.drop(list, axis=1)

f, ax = plt.subplots(figsize=(18, 18))
sns.heatmap(x.corr(), annot=True, linewidths=0.5, fmt='.1f', ax=ax)