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f, axes = plt.subplots(3, 3, figsize=(10, 8),
sharex=False, sharey=False)
# Defining our colormap scheme
s = np.linspace(0, 3, 10)
cmap = sns.cubehelix_palette(start=0.0, light=1, as_cmap=True)
# Generate and plot
x = attrition['Age'].values
y = attrition['TotalWorkingYears'].values
sns.kdeplot(x, y, cmap=cmap, shade=True, cut=5, ax=axes[0,0])
axes[0,0].set( title = 'Age against Total working years')
cmap = sns.cubehelix_palette(start=0.333333333333, light=1, as_cmap=True)
# Generate and plot
x = attrition['Age'].values
y = attrition['DailyRate'].values
sns.kdeplot(x, y, cmap=cmap, shade=True, ax=axes[0,1])
axes[0,1].set( title = 'Age against Daily Rate')
cmap = sns.cubehelix_palette(start=0.666666666667, light=1, as_cmap=True)
# Generate and plot
x = attrition['YearsInCurrentRole'].values
y = attrition['Age'].values
sns.kdeplot(x, y, cmap=cmap, shade=True, ax=axes[0,2])
axes[0,2].set( title = 'Years in role against Age')
cmap = sns.cubehelix_palette(start=1.0, light=1, as_cmap=True)
# Generate and plot
x = attrition['DailyRate'].values
y = attrition['DistanceFromHome'].values
sns.kdeplot(x, y, cmap=cmap, shade=True, ax=axes[1,0])
axes[1,0].set( title = 'Daily Rate against DistancefromHome')
cmap = sns.cubehelix_palette(start=1.333333333333, light=1, as_cmap=True)
# Generate and plot
x = attrition['DailyRate'].values
y = attrition['JobSatisfaction'].values
sns.kdeplot(x, y, cmap=cmap, shade=True, ax=axes[1,1])
axes[1,1].set( title = 'Daily Rate against Job satisfaction')
cmap = sns.cubehelix_palette(start=1.666666666667, light=1, as_cmap=True)
# Generate and plot
x = attrition['YearsAtCompany'].values
y = attrition['JobSatisfaction'].values
sns.kdeplot(x, y, cmap=cmap, shade=True, ax=axes[1,2])
axes[1,2].set( title = 'Daily Rate against distance')
cmap = sns.cubehelix_palette(start=2.0, light=1, as_cmap=True)
# Generate and plot
x = attrition['YearsAtCompany'].values
y = attrition['DailyRate'].values
sns.kdeplot(x, y, cmap=cmap, shade=True, ax=axes[2,0])
axes[2,0].set( title = 'Years at company against Daily Rate')
cmap = sns.cubehelix_palette(start=2.333333333333, light=1, as_cmap=True)
# Generate and plot
x = attrition['RelationshipSatisfaction'].values
y = attrition['YearsWithCurrManager'].values
sns.kdeplot(x, y, cmap=cmap, shade=True, ax=axes[2,1])
axes[2,1].set( title = 'Relationship Satisfaction vs years with manager')
cmap = sns.cubehelix_palette(start=2.666666666667, light=1, as_cmap=True)
# Generate and plot
x = attrition['WorkLifeBalance'].values
y = attrition['JobSatisfaction'].values
sns.kdeplot(x, y, cmap=cmap, shade=True, ax=axes[2,2])
axes[2,2].set( title = 'WorklifeBalance against Satisfaction')
f.tight_layout()
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