Simple data visualization in Python (bar graph) (1)

Description: Suitable for beginners to view exercises.

Basic grammar introduction:

import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties

font_set = FontProperties(fname = r"c:\windows\fonts\msyh.ttc",size=14)   # 设置字体
plt.title("数据可视化",fontproperties=font_set)   # 图标标题
plt.xlabel("X轴方向",fontproperties=font_set)     # X轴标题
plt.ylabel("Y轴方向",fontproperties=font_set)    # Y轴标题
plt.rcParams['figure.figsize'] = (16.0, 8.0)   # 设置figure_size尺寸
plt.plot([1,2,3,4],[1,4,2,3])
plt.show()    # 数据展示

Example 1:

Data Display:

Data download:

https://download.csdn.net/download/weixin_44940488/12466159

All code display:

from pyecharts.charts import Bar   # 生成图标，数据可视化
import xlrd                        # 读取分离  读：xlrd(read)  写：xlwt(write)

data = xlrd.open_workbook('销售数据.xlsx')
table = data.sheets()[0]   # 通过下标索引获取
names = []
sales = []

for i in range(1,table.nrows):
    name = table.row_values(i)[0]
    names.append(name)
    sale = table.row_values(i)[2]
    sales.append(sale)

bar = Bar()      # 生成簇状统计图
bar.add_xaxis(names)
bar.add_yaxis('业务详情', sales)
bar.render('销售数据可视化.html')

Result display:

Example 2:

All codes:

from pyecharts.charts import Bar
from pyecharts import options as opts
# 内置主题类型可查看 pyecharts.globals.ThemeType
from pyecharts.globals import ThemeType

bar = (
    Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
        .add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
        .add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
        .add_yaxis("商家B", [15, 6, 45, 20, 35, 66])
        .set_global_opts(title_opts=opts.TitleOpts(title="商品数据可视化", subtitle="副标题"))
)
bar.render('商品数据可视化.html')

Result display: