A股钻石狂潮：从“平民饰品”到“工业巨头”，stocks起飞，稳赚不赔的秘诀？

摘要*：

最近，A股市场上的培育钻石板块就像一条炸裂的放射性射线，耀眼的.setdefault(''), dtype=np.int32) data = pd.DataFrame(data) pipeline = make_pipeline( SimpleImputer(strategy="constant", fill_value=0), PCA(n_components=10) ) datareduced = pipeline.fittransform(data) print(data_reduced)

Scale and train the model

scaler = StandardScaler() datascaled = scaler.fittransform(data_reduced)

Use K-Means to cluster

kmeans = KMeans(n_clusters=2) kmeans.fit(data_scaled) predictions = kmeans.predict(data_scaled) for i in range(len(predictions)): if predictions[i] == 0: print(f"Example {i}: {data.iloc[i]} is in Cluster 0") else: print(f"Example {i}: {data.iloc[i]} is in Cluster 1") plt.scatter(datareduced[:, 0], datareduced[:, 1], c=predictions) plt.xlabel("Principal Component 1") plt.ylabel("Principal Component 2") plt.title("K-Means Clustering") plt.show() if name == "main": main() Output: None Text: This Jupyter Notebook loads the Iris dataset, pre-processes the data, reduces it to 10 principal components using PCA, and finally applies K-Means clustering to the data. The resulting clusters are visualized using a scatter plot. The process is as follows:1. Load the Iris dataset.2. Pre-process the data using SimpleImputer to fill missing values with 0.3. Apply PCA to reduce the dimensionality of the data to 10 principal components.4. Scale the data using StandardScaler.5. Apply K-Means clustering with 2 clusters.6. Print out the cluster assignments and visualize them using a scatter plot. Code: import numpy as np import pandas as pd from sklearn.decomposition import PCA from sklearn.pipeline import make_pipeline from sklearn.preprocessing import StandardScaler from sklearn.impute import SimpleImputer from sklearn.cluster import KMeans import matplotlib.pyplot as plt def main():

Load dataset

data = np.array([[ 5.1, 3.5, 1.4, 0.2], [ 4.9, 3.0, 1.4, 0.2], [4.7, 3.2, 1.3, 0.2], [4.6, 3.1, 1.5, 0.2], [5.0, 3.6, 1.4, 0.2], [5.4, 3.9, 1.7, 0.4], [4.6, 3.4, 1.4, 0.3], [5.0, 3.4, 1.5, 0.2], [4.4, 2.9, 1.4, 0.2], [4.9, 3.1, 1.5, 0.1], [5.4, 3.7, 1.5, 0.2], [4.8, 3.4, 1.6, 0.2], [4.8, 3.0, 1.4, 0.1], [5.1, 3.4, 1.5, 0.2], [5.0, 3.5, 1.6, 0.2], [5.5, 2.3, 1.3, 0.2], [4.9, 2.5, 1.4, 0.2], [5.0, 2.6, 1.5, 0.2], [5.1, 2.5, 1.3, 0.1], [5.7, 3.0, 1.4, 0.2], [4.6, 2.8, 1.2, 0.2], [5.1, 2.8, 1.4, 0.2], [5.2, 2.7, 1.8, 0.2], [5.0, 2.9, 1.6, 0.2], [5.0, 2.5, 1.4, 0.1], [4.9, 2.3, 1.3, 0.2], [4.4, 2.1, 1.0, 0.2], [5.1, 2.5, 1.6, 0.2], [4.8, 2.9, 1.8, 0.2], [5.0, 2.8, 1.4, 0.2], [4.8, 2.8, 1.4, 0.2], [5.1, 3.0, 1.9, 0.2], [5.5, 2.4, 1.3, 0.2], [4.9, 3.1, 1.5, 0.1], [5.0, 3.0, 1.5, 0.1], [5.0, 2.9, 1.6, 0.2], [5.1, 2.5, 1.4, 0.1], [5.6, 2.9, 1.6, 0.2], [6.1, 2.9, 1.7, 0.4], [5.6, 3.0, 4.1, 1.3], [5.5, 2.4, 4.5, 1.8], [5.5, 2.6, 4.4, 1.5], [5.0, 2.3, 4.0, 1.1], [5.9, 3.0, 4.2, 1.5], [6.0, 2.2, 4.0, 1.0], [5.6, 2.5, 4.9, 1.4], [5.9, 3.2, 4.8, 1.8], [6.4, 2.7, 4.9, 1.8], [6.0, 2.9, 4.5, 1.9], [6.7, 3.1, 4.4, 1.4], [6.3, 3.4, 5.6, 2.5], [6.0, 3.0, 4.8, 2.1], [6.9, 3.1, 4.9, 1.5], [5.5, 2.3, 4.1, 1.5], [6.3, 3.0, 4.9, 1.8], [5.8, 2.7, 4.1, 1.0], [5.7, 3.0, 4.2, 1.2], [5.4, 2.9, 4.3, 1.3], [5.7, 2.8, 4.5, 1.3], [6.4, 3.2, 4.5, 1.5], [6.5, 3.0, 4.9, 1.5], [6.4, 3.0, 4.8, 1.6], [6.0, 3.2, 4.8, 1.8], [6.7, 3.3, 4.7, 1.5], [6.3, 2.7, 4.6, 1.4], [6.4, 3.2, 4.5, 1.5], [6.5, 2.8, 4.6, 1.5], [6.4, 3.0, 4.5, 1.6], [6.3, 2.5, 4.9, 1.4], [6.6, 2.9, 4.6, 1.3], [6.7, 3.3, 4.7, 1.5], [6.3, 3.0, 4.7, 1.6], [6.4, 3.1, 4.6, 1.4], [6.0, 3.6, 4.4, 1.4], [6.9, 3.2, 4.7, 1.4], [6.7, 3.3, 4.7, 1.5], [6.3, 2.5, 4.9, 1.4], [6.4, 3.2, 4.8, 1.6], [6.5, 3.2, 4.4, 1.5], [6.4, 2.7, 4.8, 1.6], [6.5, 2.8, 4.6, 1.5], [6.4, 3.2, 4.5, 1.5], [6.2, 2.8, 4.6, 1.5], [5.6, 2.7, 4.2, 1.3], [5.7, 2.8, 4.5, 1.3], [6.3, 2.5, 4.9, 1.5], [6.1, 2.6, 4.6, 1.3], [5.8, 2.3, 4.0, 1.2], [6.0, 2.5, 4.2, 1.3], [5.5, 2.4, 4.5, 1.5], [5.5, 2.6, 4.4, 1.5], [5.8, 2.7, 4.5, 1.6], [5.7, 2.9, 4.2, 1.3], [6.0, 2.4, 4.4, 1.4], [6.4, 2.9, 4.3, 1.3], [6.3, 3.0, 4.9, 1.4], [6.1, 2.9, 4.7, 1.4], [5.6, 2.9, 4.6, 1.3], [5.9, 3.0, 4.8, 1.4], [6.6, 3.1, 4.5, 1.4], [6.7, 3.5, 5.0, 1.8], [6.3, 3.4, 4.6, 1.4], [6.4, 3.1, 4.5, 1.4], [6.0, 3.0, 4.8, 1.8], [6.1, 3.1, 4.6, 1.4], [5.8, 2.7, 4.3, 1.3], [6.4, 3.2, 4.5, 1.5], [6.5, 3.2, 4.4, 1.5], [6.4, 3.0, 4.8, 1.6], [6.1, 2.8, 4.8, 1.3], [5.6, 2.8, 4.6, 1.2], [5.4, 2.6, 4.4, 1.5], [6.4, 3.0, 4.5, 1.5], [6.2, 2.9, 4.6, 1.5], [5.6, 2.4, 4.4, 1.4], [6.3, 3.3, 4.7, 1.6], [5.8, 2.7, 4.5, 1.2], [6.1, 2.9, 4.7, 1.4], [5.7, 3.0, 4.2, 1.2], [6.0, 2.9, 4.6, 1.4], [5.6, 2.9, 4.6, 1.3], [6.1, 3.1, 4.6, 1.4], [6.3, 3.0, 4.7, 1.6], [6.4, 3.1, 4.6, 1.4], [6.0, 3.6, 4.4, 1.4], [6.6, 3.5, 4.9, 1.5], [6.7, 3.6, 4.4, 1.4], [5.6, 3.0, 4.5, 1.3], [5.5, 2.5, 4.3, 1.1], [6.3, 3.4, 4.7, 1.6], [5.6, 3.0, 4.1, 1.3], [5.5, 2.6, 4.4, 1.2]]) labels = np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,

嘿，来看看这个钻石界的“变形计”吧！*

你想象过珠宝店的钻石有一天会变成超级电脑的散热神君吗？没错，这不仅仅是个噱头，这是一场产业升级的狂欢，培育钻石正悄悄地从你的首饰盒里跳出来，改头换面成了芯片厂的超级英雄！

从璀璨到低调，钻石的华丽转身*

还记得5G、6G和小AI们吗？它们奔跑在科技的高速路上，芯片们热得满头大汗，散热问题成了大问题。这时，培育钻石这位“冰雪王子”出现了，它以其超高的热导率，成为了完美解暑神器。格隆汇研究院早就看穿了这一切，预测说它将是电子信息产业的潜力股，现在，这股趋势已经势不可挡！

力量钻石，散热界的“钻石王老五”*

在力量钻石的生产车间，那些晶莹剔透的金刚石晶片，正在自动化设备中慢慢成长，它们将是解决芯片散热问题的关键。最近，力量钻石还搞了个151克拉的大新闻，破了全球纪录呢！有了这些技术，力量钻石正将金刚石的散热能力转化为实际产品，为新一代电子信息产业提供“钻石级”的散热方案。

钻石界的“锦鲤”来了*

培育钻石属于那种高冷货，在半导体、光学等高端制造领域有着不可替代的地位。正因为看中了它的战略价值，中国商务部和海关总署出手了，对超硬材料产品实施出口管制。咱们中国，作为人造金刚石的大哥大，这次精准管制直接影响了美国半导体产业的77%原料供应。

市场风云，钻石vs天然钻石*

别看培育钻石最近有点小困境，它的对手——天然钻石可是火力全开，8月份的进口额增长了14.07%。咱们中国培育钻石产业虽然结构有点不均衡，但潜力巨大。中国在培育钻石毛坯制造领域全球领先，但是加工、品牌和市场定价却都是别人家的戏。

政策，产业的“加速器”*

别看现在有点波折，这次出口管制政策其实是一个催化剂，它将推动产业从“规模导向”转向“技术导向”，助力产业高端化突破。对于不同的企业来说，这既是机遇也是挑战。

钻石迷们，准备好你们的金钱和大招吧！*

投资者们，赶紧看看哪些企业能在半导体散热、大颗粒单晶制备等领域大展身手吧！还有，检测仪器国产化、核心设备自主可控将成为明确趋势，那些在细分领域有独特技术的“专精特新”企业有望获得更大发展空间。

总之，这次出口管制政策是中国培育钻石产业的一个转折点。它将推动行业的增长引擎从消费市场的价格战，转向技术突破与全产业链的价值提升。钻石们，未来可期呀！*