[Warehouse] PLT Plot 정리

Plots

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📊 SUB PLOTS

f, ax = plt.subplots(2,2, figsize=(7,7))
ax[0][0].plot(range(len(Y)), Y.values)
ax[0][1].boxplot(Y.values)
sns.kdeplot(Y.values, ax=ax[1][0])
sns.distplot(Y.values,
             hist_kws=dict(cumulative=True),
             kde_kws=dict(cumulative=True),
             ax=ax[1][1])

ax[0][0].set_title("revenue by index")
ax[0][0].set_title("cdf by index")​

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🦜 Seaborn Set Palette

sns.set_palette(sns.color_palette("husl", 8))

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📊 KDE 

ax = sns.distplot(X['MPAA'].values, rug=True, rug_kws={"color": "r"},
                  
                  kde_kws={"color": "blue", "lw": 2, "label": "KDE"},
                  
                  hist_kws={"histtype": "step", "linewidth": 4,
                            "alpha": 1, "color": "pink"})
ax.set_title("MPAA")
plt.show()

ax = sns.kdeplot(X['raters'],  shade=True)
ax.set_title("Raters")
plt.show()
X['raters'].describe()

 

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📈 Log Transformation

label = 'raters'
Z =X[label].apply(lambda x:np.log(1+x))

f, ax = plt.subplots(1,2, figsize=(5,3))

sns.kdeplot(X[label],  shade=True, ax=ax[0])
sns.kdeplot(Z.ravel(),  shade=True, ax=ax[1])

ax[0].set_title(label)
ax[1].set_title(label + " + Log")

plt.tight_layout(True)
plt.show()

pd.concat([X[label].describe(), Z.describe()], axis=1)

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🦜 Legend Location 

ax[0].legend(bbox_to_anchor=(0, -1, 0.5, 0.5))

🦜 Remove Legend

ax.get_legend().remove()

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