拉钩网数据分析

最新推荐文章于 2024-02-01 14:59:47 发布

原创最新推荐文章于 2024-02-01 14:59:47 发布 · 461 阅读

0 ·

CC 4.0 BY-SA版权

迷心兔

Python 专栏收录该内容

49 篇文章

订阅专栏

import pandas as pd
import matplotlib.pyplot as plt
from pyecharts import Bar, Geo, Map, Pie

df = pd.read_csv("lagou.csv", usecols=['city', 'education', 'salary'])

plt.rcParams['font.sans-serif'] = ['simhei']  # 中文
"""
df['city'].value_counts()[:7].plot(kind='barh')  # 绘制条形图
# df['education'].value_counts()[:7].plot(kind='barh')  # 绘制条形图
# df['salary'].value_counts()[:7].plot(kind='barh')  # 绘制条形图

# df['city'].value_counts()[:7].plot(kind='pie', autopct='%1.2f%%')  # 绘制饼图
# df['education'].value_counts()[:7].plot(kind='pie', autopct='%1.2f%%')  # 绘制饼图
# df['salary'].value_counts()[:7].plot(kind='pie', autopct='%1.2f%%')  # 绘制饼图
plt.show()
"""

"""
city = df['city'].value_counts()
explode = [x * 0.04 for x in range(len(city))]
city.plot(kind='pie',
          explode=explode,  # 爆炸
          autopct='%3.2f %%',  # 百分比显示
          pctdistance=0.6,  # 百分比距圆心的位置
          labeldistance=1.2,  # 距圆心的距离
          counterclock=True,  # 顺时针
          radius=0.5,  # 半径的大小
          startangle=-5,  # 自定义第一块饼图和水平面的角度
          rotatelabels=True,  # 旋转每个label到指定的角度
          textprops={'fontsize': 8}
          )  # 绘制条形图
plt.axis('equal')
plt.show()
"""

"""
salary = df['salary'].value_counts()[:7]
bar = Bar("Python岗位薪水分布图")
bar.add("薪水", salary.index, salary.values)
bar.render("Python岗位薪水分布图.html")
"""

"""
city = df['city'].value_counts()[:7]
bar = Bar("Python岗位城市分布图")
bar.add("城市", city.index, city.values)
bar.render("Python岗位城市分布图.html")
"""

"""
education = df['education'].value_counts()[:7]
bar = Bar("Python岗位学历分布图")
bar.add("学历", education.index, education.values)
bar.render("Python岗位学历分布图.html")
"""