diff --git a/公司类型环形图.html b/公司类型环形图.html
new file mode 100644
index 0000000..c5b65ee
--- /dev/null
+++ b/公司类型环形图.html
@@ -0,0 +1,140 @@
+
+
+
+
+ Awesome-pyecharts
+
+
+
+
+
+
+
+
+
diff --git a/公司类型环形图.py b/公司类型环形图.py
new file mode 100644
index 0000000..24a0785
--- /dev/null
+++ b/公司类型环形图.py
@@ -0,0 +1,31 @@
+import pandas as pd
+from pyecharts.charts import Pie
+from pyecharts import options as opts
+from pyecharts.globals import ThemeType
+
+data = [
+ ["上市公司", 192],
+ ["事业单位", 2],
+ [ "其它", 71],
+ [ "合资", 39],
+ [ "国企", 80],
+ [ "外商独资", 289],
+ [ "民营", 714],
+ [ "港澳台公司", 4],
+ [ "股份制企业", 132]
+]
+
+pie=Pie(init_opts=opts.InitOpts(theme=ThemeType.INFOGRAPHIC))\
+ .add("公司类型环形图",
+ data,
+ radius=["20%","40%"],
+ center=['50%','40%'],
+ label_opts=opts.LabelOpts(formatter='{b}:{d}%')
+ )\
+ .set_global_opts(
+ title_opts=opts.TitleOpts('公司类型',pos_left="35%",pos_top="3%",
+ title_textstyle_opts=opts.TextStyleOpts(font_size=25)),
+ legend_opts=opts.LegendOpts(orient="vertical",pos_left='15%',pos_top='15%')
+ )
+
+pie.render("公司类型环形图.html")
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diff --git a/就业机会前十的城市.py b/就业机会前十的城市.py
new file mode 100644
index 0000000..508332a
--- /dev/null
+++ b/就业机会前十的城市.py
@@ -0,0 +1,42 @@
+import matplotlib.pyplot as plt
+import pandas as pd
+
+# 解决中文乱码
+plt.rcParams['font.sans-serif'] = ['SimHei']
+# 创建画布
+plt.figure()
+
+data=pd.read_csv("最新数据.csv")
+# 将城市这一列数据提取出来
+city = data[["城市",'职位名称']]
+# 将城市列去重后转化为列表变成x轴数据
+x_data = data['城市'].drop_duplicates().tolist()
+x_data=x_data[:10]
+# print(x_data)
+
+# 将城市进行分组计数变为y轴数据
+y_data = city.groupby('城市').count().reset_index()
+y_data = y_data['职位名称'].tolist()
+y_data.sort(reverse=True)
+y_data=y_data[:10]
+
+plt.bar(x_data, y_data,
+ width=0.5,
+ color='#9fe080',
+ align="center",
+ )
+
+# 显示数据标签
+for a,b in zip(x_data,y_data):
+ plt.text(
+ a, #标签的x坐标
+ b, #标签的y坐标
+ b, #标签的内容
+ ha='center',
+ va='bottom',
+ fontsize=10)
+
+plt.title("就业机会前十的城市")
+plt.xlabel("城市")
+
+plt.show()
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