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lyx.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv("iris1.csv", encoding="gbk")
+# 0=sepal_ler  1=sepal_w  2=petal_l  3=petal_w  4=species
+col0 = df.iloc[:,0]
+col1 = df.iloc[:,1]
+col2 = df.iloc[:,2]
+col3 = df.iloc[:,3]
+col4 = df.iloc[:,4]
+
+plt.rcParams["font.sans-serif"] = ["SimHei"]
+plt.rcParams["axes.unicode_minus"] = False
+plt.figure(figsize=(18,12))
+
+#1 sepal散点
+plt.subplot(3,3,1)
+for sp in col4.unique():
+    idx = col4==sp
+    plt.scatter(col0[idx],col1[idx],label=sp)
+plt.title("sepal花萼散点图")
+plt.legend()
+
+#2 petal散点
+plt.subplot(3,3,2)
+for sp in col4.unique():
+    idx = col4==sp
+    plt.scatter(col2[idx],col3[idx],label=sp)
+plt.title("petal花瓣散点图")
+plt.legend()
+
+#3 三个直方图
+sps = col4.unique()
+plt.subplot(3,3,4)
+plt.hist(col2[col4==sps[0]])
+plt.title(f"{sps[0]}直方图")
+
+plt.subplot(3,3,5)
+plt.hist(col2[col4==sps[1]])
+plt.title(f"{sps[1]}直方图")
+
+plt.subplot(3,3,6)
+plt.hist(col2[col4==sps[2]])
+plt.title(f"{sps[2]}直方图")
+
+#4 setosa折线
+plt.subplot(3,3,7)
+plt.plot(col0[col4=="setosa"],marker='o')
+plt.title("setosa叶长折线图")
+
+plt.tight_layout()
+plt.show()