#用 Seaborn 画二元变量分布图(散点图,核密度图,Hexbin 图) sns.jointplot(x='year', y='passengers', data=flights, kind='scatter') sns.jointplot(x='year', y='passengers', data=flights, kind='kde') sns.jointplot(x='year', y='passengers', data=flights, kind='hex') plt.show() 1. ...
{content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;bo...
if label == "": df_stats = df_tmp df_stats.attrs["All Models Run Time"] = df_stats[time_col].sum() print(f"{df_stats[time_col].sum()=:.0f} hours") df_stats.round(2).to_json(f"{MODELS}/model-stats.json", orient="index") # %% df_time = ( df_stats.sort_index() ...
sns.distplot(original_X, hist = True, kde = True, label = "Original", ax = ax[0]) sns.distplot(new_X, hist = True, kde = True, label = "Original", ax = ax[1]) # QQ plot fig, ax = plt.subplots(1, 2) stats.probplot(original_X, dist=stats.norm, plot=...
sns.kdeplot(t0[feature], bw=0.5, label="Class = 0") sns.kdeplot(t1[feature], bw=0.5, label="Class = 1") plt.xlabel(feature, fontsize=12) locs, labels = plt.xticks() plt.tick_params(axis='both', which='major', labelsize=12) plt.show() """ 45 changes: 45 additions ...