import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib import rcParams
NaSH = [5.5, 2.7, 6.9, 8.3, 4.1, 6.7, 6.5, 7.0]
H2O = [2.36, 1.8, 0.68, 2.92, 1.24, 0.77, 1.36, 0.42]
sulfur = [2.1, 3.3, 2.7, 0.9, 1.5, 2.7, 2.0, 1.3]
toluene = [1.1, 2.3, 3.5, 5.9, 4.7, 3.3, 2.2, 1.1]
result = [67, 31, 68, 48, 66, 70, 78, 89]
df = pd.DataFrame({“NaSH”:NaSH,
	“H2O”:H2O,
	“sulfur”:sulfur,
	“toluene”:toluene,
	“result”:result,
	})
sns.heatmap(df.corr(), cmap=“magma”, annot=True, fmt=“1.1f”)