前往小程序,Get更优阅读体验!
立即前往
首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >Python openpyxl 插入折线图实例

Python openpyxl 插入折线图实例

作者头像
砸漏
发布2020-11-05 10:33:59
1.2K0
发布2020-11-05 10:33:59
举报
文章被收录于专栏:恩蓝脚本恩蓝脚本

我就废话不多说了,还是直接看代码吧!

代码语言:javascript
复制
import os
import openpyxl
from datetime import date
from openpyxl import Workbook
from openpyxl.chart import (
Series,
LineChart,
Reference,
)
def add_line_chart(title, wss, min_col, min_row, max_col, max_row):
c1 = LineChart()
c1.title = title # 图的标题
c1.style = 12 # 线条的style
c1.y_axis.title = 'percent' # y坐标的标题
if 'IDC' not in title:
c1.x_axis.number_format = 'd-mmm' # 规定日期格式 这是月,年格式
c1.x_axis.majorTimeUnit = "Months" # 规定日期间隔 注意days;Months大写
c1.x_axis.title = "Date" # x坐标的标题
data = Reference(wss, min_col=min_col, min_row=min_row, max_col=max_col, max_row=max_row) # 图像的数据 起始行、起始列、终止行、终止列
c1.add_data(data, titles_from_data=True, from_rows=True)
dates = Reference(wss, min_col=2, min_row=1, max_col=max_col)
c1.set_categories(dates)
wss.add_chart(c1, "A6") # 将图表添加到 sheet中
def save_data_to_excel(file_name, target_sheet_name):
select_cursor = connect.cursor()
select_sql = "select phone_company, record_date, record_percent from phone_statistics where record_company = '%s'" % target_sheet_name
if target_sheet_name == "IDC":
select_sql = "select phone_company, record_q, record_percent from phone_statistics where record_company = '%s'" % target_sheet_name
select_cursor.execute(select_sql, ())
data_dic = {}
all_date = {}
all_phone_company = {}
for item in select_cursor:
if target_sheet_name == "IDC":
data_dic[item[0] + '_' + item[1]] = item[2]
else:
if type(item[1]) == str:
data_dic[item[0] + '_' + item[1]] = item[2]
else:
data_dic[item[0] + '_' + item[1].strftime("%Y-%m-%d")] = item[2]
all_date[item[1]] = 1
all_phone_company[item[0]] = 1
if os.path.exists(file_name):
wb = openpyxl.load_workbook(file_name)
else:
wb = Workbook()
try:
wb.remove_sheet(wb['Sheet'])
except Exception as e:
pass
try:
wb.remove_sheet(wb[target_sheet_name])
except Exception as e:
pass
try:
sheet = wb[target_sheet_name]
except Exception as e:
sheet = wb.create_sheet()
start_date_index = 'B'
for each_date in all_date.keys():
if target_sheet_name == "IDC":
sheet['%s1' % start_date_index] = each_date
else:
if type(each_date) == str:
sheet['%s1' % start_date_index] = each_date
else:
sheet['%s1' % start_date_index] = each_date.strftime("%Y-%m-%d")
start_date_index = chr(ord(start_date_index) + 1)
start_name_index = 2
for each_name in all_phone_company.keys():
sheet['A%d' % start_name_index] = each_name
start_name_index += 1
start_date_index = 'B'
start_name_index = 2
for each_date in all_date.keys():
for each_name in all_phone_company.keys():
if target_sheet_name == "IDC":
key = each_name + '_' + each_date
if key in data_dic:
sheet['%s%d' % (start_date_index, start_name_index)] = data_dic[key]
else:
if type(each_date) == str:
key = each_name + '_' + each_date
else:
key = each_name + '_' + each_date.strftime("%Y-%m-%d")
if key in data_dic:
sheet['%s%d' % (start_date_index, start_name_index)] = data_dic[key]
start_name_index += 1
start_date_index = chr(ord(start_date_index) + 1)
start_name_index = 2
sheet.title = target_sheet_name
sheet.column_dimensions['A'].width = 20
start_date_index = 'B'
for each_date in all_date.keys():
sheet.column_dimensions[start_date_index].width = 13
start_date_index = chr(ord(start_date_index) + 1)
add_line_chart(target_sheet_name.upper() + "'s Phone Statistics", sheet, 1, 2, len(all_date.keys()) + 1,
min(15, len(all_phone_company.keys()) + 1))
wb.save(file_name)
pass

补充知识:python plotly line chart 折线图

我就废话不多说了,还是直接看代码吧!

代码语言:javascript
复制
# 1 折线图数据
# trace1 - 基本格式
# trace2 - 更多参数
trace1 = go.Scatter(
x = x1,
y = y2,
)
trace2 = go.Scatter(
x = x2,
y = y2,
mode = 'lines', # 模式:lines 线,markers 点。可用“+”相连
name = 'line2', # 折线名,显示于图例
connectgaps = True # 连接缺失点两端 默认False
line = dict(
color = ('rgb(205, 12, 24)'), # 颜色
width = 4, #线宽
dash = 'dash') # 虚线: dash 一一,dot ···,dashdot 一·一
) 
)
# 2 打包数据
data = [trace1,trace2]
# 3 格式
layout = dict(title = '折线',
xaxis = dict(title = '时间'), # 横轴坐标
yaxis = dict(title = '数量'), # 总轴坐标
legend=dict(x=1.1,y=1) # 图例位置 
)
# 4 打包数据+格式
fig = dict(data=data, layout=layout)
# 5 画图
py.iplot(fig, filename='styled-line')

以上这篇Python openpyxl 插入折线图实例就是小编分享给大家的全部内容了,希望能给大家一个参考。

本文参与 腾讯云自媒体分享计划,分享自作者个人站点/博客。
原始发表:2020-09-11 ,如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 作者个人站点/博客 前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体分享计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
相关产品与服务
图数据库 KonisGraph
图数据库 KonisGraph(TencentDB for KonisGraph)是一种云端图数据库服务,基于腾讯在海量图数据上的实践经验,提供一站式海量图数据存储、管理、实时查询、计算、可视化分析能力;KonisGraph 支持属性图模型和 TinkerPop Gremlin 查询语言,能够帮助用户快速完成对图数据的建模、查询和可视化分析。
领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档