import pandas as pd import seaborn as sns from sklearn.datasets import load_iris def make_df(dict_) : pd_result = pd.DataFrame(dict_["data"]) if dict_.get("feature_names",None) is not None : pd_result.columns = dict_["feature_names"] if dict_.get("target",None) is not None : pd_result["target"] = dict_["target"] if dict_.get("target_names", None) is not None : d = dict(zip(np.unique(dict_["targe..