python操作Excel、openpyxl 之图表,折线图、饼图、柱状图等
- 需要模块:
from openpyxl.workbook import Workbook
from openpyxl.chart import Series,LineChart, Reference
openpyxl支持利用工作表中单元格的数据,创建条形图、折线图、散点图等
步骤:
wb = Workbook()
ws = wb.create_sheet("{0}蒸汽压力记录表".format("样品名称"), 0)
从将表格中涉及的要画图的数据使用:Reference 创建一个对象
比如:我选取 data = Reference(ws, min_col=5, min_row=4, max_col=10, max_row=4)
参数含义:ws 一个活跃的sheet,数据来源。可以使用ws = wb.active 获取
其他的就是指定这个表中的行列数据了:起始行、起始列、终止行、终止列通过传入Reference对象,创建一个Series对象
创建一个Chart对象
可选择的设置Chart对象的长(drawing.height)、宽(drawing.width)、坐标位置(drawing.top、drawing.left)。
将Chart对象添加到Worksheet对象。
chart = LineChart() #图表对象
data = Reference(ws, min_col=5, min_row=4, max_col=10, max_row=4) #涉及数据
seriesObj = Series(data, title='压力') #创建series对象
chart.append(seriesObj) #添加到chart中
ws.add_chart(chart, "A6") #将图表添加到 sheet中
- 一个饼图
from openpyxl import load_workbook
from openpyxl import Workbook
from openpyxl.chart import BarChart, Reference, Series
wb = load_workbook('e:\\sample.xlsx')
ws1=wb.active
wb = Workbook()
ws = wb.active
for i in range(10):
ws.append([i])
values = Reference(ws, min_col=1, min_row=1, max_col=1, max_row=10)
chart = BarChart()
chart.add_data(values)
ws.add_chart(chart, "E15")
# Save the file
wb.save("e:\\sample.xlsx")

- 说明:
enity 参数是我从数据库,通过sqlalchemy查询出来的一个实体对象,
recordList 是我每次试验产生的数据列,每个数据列30万数据左右
import sys
import uuid
import string
import json
import time
import random
import os
import base64
from openpyxl.workbook import Workbook
from openpyxl.styles import Font, Alignment, Side, Border
from openpyxl.drawing import image
from openpyxl.chart import Series,LineChart, Reference
from openpyxl.chart.axis import DateAxis
# path = os.path.dirname(os.path.dirname(__file__))
# sys.path.insert(0,path)
from Lib.Utils import Utils
class ExportReport:
def __init__(self,entity, recordList,**kwargs):
"""
:param entity: 记录对象
:param recordList: 记录["压力","电流"]列表
:param kwargs:
"""
self.entity = entity
self.record_list = recordList
self.status_all = ["未完成", "成功", "<2070kpa"]
self.data_head = ["start_time","experiment_user_name","material_name", "experiment_type","is_success", "time_cost","test_count"]
self.base_info_list = ["试验日期","试验人", "样品名称", "试验类型", "试验状态", "耗费时间","试验次数"]
self.wb = Workbook()
self.ws = self.wb.create_sheet("{0}试验记录表".format(self.entity.material_name), 0)
#生成头部所含列总数的大写字母
self.header_upper_string_list = string.ascii_uppercase[:len(self.base_info_list)]
# 水平对齐,居中对齐
self.alignment_style = Alignment(horizontal='center', vertical='center')
#定义border 边框样式
left, right, top, bottom = [Side(style='thin', color='000000')]*4
self.border_style = Border(left=left, right=right, top=top, bottom=bottom)
#定义字体
self.font_size = Font(size=9)
for col in self.header_upper_string_list :
self.ws.column_dimensions[col].width = 25
#单元格样式字体调整
def cell_set(self, cellObj, fontSzie=12, alignmentStyle=None):
alignmentStyle = alignmentStyle if alignmentStyle else self.alignment_style
cellObj.alignment = alignmentStyle #对齐方式
cellObj.font = Font(size=fontSzie, bold=True) #字体
#单元格样式字体居中
def cell_textalign_center(self,cellObj):
cellObj.alignment = self.alignment_style
#创建表头第一行
def create_row1(self):
#把1、2行所有列合并
self.ws.merge_cells(start_row=1, end_row=2, start_column=1, end_column=self.base_info_list.__len__())
#写入值
self.ws.cell(row=1, column=1).value = "{0}试验记录表".format(self.entity.material_name)
self.cell_set(self.ws['A1'], 16)
self.create_row3_4()
self.create_row7_8()
def create_row3_4(self):
for col in range(1, len(self.base_info_list)+1):
self.ws.merge_cells(start_row=3, end_row=4, start_column=col, end_column=col)
col_str = self.header_upper_string_list[col-1]+"3"
self.ws[col_str] = self.base_info_list[col-1]
self.cell_set(self.ws[col_str])
#合并 5 6 两行单元格
for col in range(1, len(self.base_info_list)+1):
self.ws.merge_cells(start_row=5, end_row=6, start_column=col, end_column=col)
def create_row7_8(self):
dataNum = ["序号", "压力", "电流"]
for col in range(1, 4):
self.ws.merge_cells(start_row=7, end_row=8, start_column=col, end_column=col)
col_str = "ABCD"[col-1]+"7"
self.ws[col_str] = dataNum[col-1]
self.cell_set(self.ws[col_str])
def timeStampToUTC8(self,timeStamp):
return time.strftime("%Y/%m/%d %H:%M:%S",time.localtime(timeStamp/1000))
def add_data(self):
#第五行开始写入数据,所有数据居中对齐,水平居中
# 字符为A/B,第五行
for i,v in enumerate(self.data_head):
cur_v = getattr(self.entity,v)
if v == "experiment_type":
cur_v = ["样品试验","参考品试验","时间/压力试验"][cur_v]
if v == "is_success":
cur_v = ["异常","计时","<2070kPa"][cur_v]
self.ws[self.header_upper_string_list[i]+"5"] = cur_v
for i in self.header_upper_string_list:
col_str = i +"5"
self.cell_textalign_center(self.ws[col_str])
for idx, data in enumerate(self.record_list[0]):
col_str = "A{}".format(9+idx)
self.ws[col_str] = idx
self.cell_textalign_center(self.ws[col_str])
col_str = "B{}".format(9 + idx)
self.ws[col_str] = data
self.cell_textalign_center(self.ws[col_str])
col_str = "C{}".format(9 + idx)
self.ws[col_str] = self.record_list[1][idx]
self.cell_textalign_center(self.ws[col_str])
self.draw_line_chart()
#画折线图
def draw_line_chart(self):
self.chart = LineChart()
self.chart.title = "压力变化记录折线图"
self.chart.style = 2
self.chart.width = 36
self.chart.height = 20
self.chart.y_axis.title = "压力kpa"
# self.chart.y_axis.crossAx = 500
# self.chart.x_axis = DateAxis(crossAx=100)
# self.chart.x_axis.number_format = '%H:%M:%S'
# self.chart.x_axis.majorTimeUnit = "days"
self.chart.x_axis.title = "序号"
#选中要画图的数据列(Y轴)
data1 = Reference(
self.ws,
min_col=2,
min_row=8,
max_col=2,
max_row=len(self.record_list[0])+8
)
seriesObj1 = Series(data1, title='压力值')
self.chart.append(seriesObj1)
# self.chart.add_data(data, titles_from_data=True)
#指定X轴选取的数据列(还可以有时间-日期格式,这儿作者就不演示了)
dates = Reference(self.ws, min_col=1, min_row=8, max_row=len(self.record_list[0])+8)
self.chart.set_categories(dates)
self.ws.add_chart(self.chart, "D7")
def draw_electric_cur(self):
self.chart = LineChart()
self.chart.title = "电流记录折线图"
self.chart.style = 2
self.chart.width = 36
self.chart.height = 20
self.chart.y_axis.title = "电流A"
# self.chart.y_axis.crossAx = 500
# self.chart.x_axis.crossAx = -5
# self.chart.x_axis = DateAxis(crossAx=100)
# self.chart.x_axis.number_format = '%H:%M:%S'
# self.chart.x_axis.majorTimeUnit = "days"
self.chart.x_axis.title = "序号"
#设定坐标系内,Y轴最大、最小值
# self.chart.y_axis.scaling.min = self.min_diff-0.1
# self.chart.y_axis.scaling.max = self.max_diff+0.1
data3 = Reference(
self.ws,
min_col=3,
min_row=8,
max_col=3,
max_row=len(self.record_list[1])+8
)
seriesObj3 = Series(data3, title='电流')
self.chart.append(seriesObj3)
dates = Reference(self.ws, min_col=1, min_row=8, max_row=len(self.record_list[1]) + 8)
self.chart.set_categories(dates)
self.ws.add_chart(self.chart, "D49")
def create(self,value=None):
if value:
self.ws.cell(row=1, column=1).value = value
self.create_row1()
self.add_data()
self.draw_line_chart()
if self.entity.experiment_type!=2:
self.draw_electric_cur()
def save(self, filename):
try:
self.wb.save(filename)
except Exception as e:
print(e)
self.wb.save(filename[:-5] + str('_' + Utils.getFileName()) + filename[-5:])
# 关闭excel
self.close()
def close(self):
self.wb.close()
class TestObj:
def __init__(self):
self.test_list = ["start_time","experiment_user_name","material_name", "experiment_type","is_success", "time_cost","test_count"]
if __name__ == '__main__':
t = TestObj()
for idx,para in enumerate(t.test_list):
t.__setattr__(para,idx)
record_list = [
[random.randrange(i,i+10) for i in range(100)],
[random.random() for j in range(150)]
]
export = ExportReport(t,record_list)
export.create()
export.save("127.xlsx")

import uuid
import string
import json
import time
import os
import base64
from openpyxl.workbook import Workbook
from openpyxl.styles import Font, Alignment, Side, Border
from openpyxl.drawing import image
from openpyxl.chart import Series,LineChart, Reference
from Lib.Utils import Utils
class ExportReport:
def __init__(self, start_time, water_temp, test_people,
sample_name, pressure_value, pressure_list,*args, **kwargs):
"""
:param start_time: 实验开始时间
:param water_temp: 水浴温度
:param test_people: 试验人
:param sample_name: 样品名称
:param pressure_value: 最终压力
:param args: 实验过程压力记录列表
:param kwargs:
"""
self.start_time = start_time
self.water_temp = str(water_temp)+' ℃'
self.test_people = test_people
self.sample_name = sample_name
self.pressure_value = pressure_value
self.all_col = 5+len(pressure_list) #一共多少列
self.pressure_record = pressure_list #第六列到最后一列的数据列表
self.image_path = kwargs.get('imgPath', None) #图片路径
#所有的数据列
self.data_list = [
self.start_time, self.water_temp,
self.test_people,self.sample_name,
self.pressure_value
]
self.data_list.extend(self.pressure_record)
self.col_list = ["开始时间", "水浴温度", "测试人", "样品名称", "最终压力值"]
# base64转化为图片
# self.bs64 = bs64
# self.img_path = Utils.change_base64_as_img(self.bs64)
self.wb = Workbook()
#self.wb.remove(self.wb["sheet"])
self.ws = self.wb.create_sheet("{0}蒸汽压力记录表".format(self.sample_name), 0)
#生成所含列总数的大写字母
self.upper_string_list = string.ascii_uppercase[:self.all_col]
# 水平对齐,居中对齐
self.alignment_style = Alignment(horizontal='center', vertical='center')
#定义border 边框样式
left, right, top, bottom = [Side(style='thin', color='000000')]*4
self.border_style = Border(left=left, right=right, top=top, bottom=bottom)
#定义字体
self.font_size = Font(size=9)
for col in self.upper_string_list:
self.ws.column_dimensions[col].width = 20
#单元格样式字体调整
def cell_set(self, cellObj, fontSzie=12, alignmentStyle=None):
alignmentStyle = alignmentStyle if alignmentStyle else self.alignment_style
cellObj.alignment = alignmentStyle
cellObj.font = Font(size=fontSzie, bold=True)
#创建表头第一行
def create_row1(self):
#把所有列合并
self.ws.merge_cells(start_row=1, end_row=1, start_column=1, end_column=self.all_col)
#写入值
# self.ws.cell(row=1, column=1).value = value
self.ws.cell(row=1, column=1).value = "{0}蒸汽压力记录表".format(self.sample_name)
# self.ws['A1'].alignment = self.alignment_style
# self.ws['A1'].font = Font(size=16, bold=True)
self.cell_set(self.ws['A1'], 16)
self.create_row2_3()
def create_row2_3(self):
#把前五列,二三行单元格合并,并写入值
for col in range(1, len(self.col_list)+1):
self.ws.merge_cells(start_row=2, end_row=3, start_column=col, end_column=col)
col_str = self.upper_string_list[col-1]+"2"
self.ws[col_str] = self.col_list[col-1]
# self.ws[col_str].alignment = self.alignment_style
# self.ws[col_str].font = Font(size=12, bold=True)
self.cell_set(self.ws[col_str])
#把第二行第六列开始到最后列合并
self.ws.merge_cells(start_row=2, end_row=2, start_column=len(self.col_list)+1, end_column=self.all_col)
col_str = self.upper_string_list[len(self.col_list)]+"2"
self.ws[col_str] = "实验过程压力记录"
# self.ws[col_str].alignment = self.alignment_style
# self.ws[col_str].font = Font(size=12, bold=True)
self.cell_set(self.ws[col_str])
#第三行第六列开始到最后列写入值
for index, col_ltr in enumerate(self.upper_string_list[len(self.col_list):]):
col_str = col_ltr+'3'
self.ws[col_str] = "第{0}次压力记录".format(index+1)
# self.ws[col_str].alignment = self.alignment_style
# self.ws[col_str].font = Font(size=12, bold=True)
self.cell_set(self.ws[col_str])
def add_data(self):
#第四行开始写入数据,所有数据居中对齐,水平居中
for index, col in enumerate(self.upper_string_list):
col_str = col+"4"
self.ws[col_str] = self.data_list[index]
# self.ws[col_str].alignment = self.alignment_style
# self.ws[col_str].font = Font(size=12, bold=True)
self.cell_set(self.ws[col_str])
#画折线图
def draw_line_chart(self):
data_col = self.ws["{0}:{1}".format(self.upper_string_list[len(self.col_list)]+"3",self.upper_string_list[-1]+"3" )]
self.chart = LineChart()
self.chart.width = 21.2
self.chart.height = 8
self.chart.style = 2 ##线条的style,Max value is 48 2 10
self.chart.title = "压力记录图"
self.chart.y_axis.title = "压力值"
self.chart.x_axis.title = "压力测量次数"
#从活动表中关联压力记录次数数据, 第六行到第10行
data = Reference(
self.ws,
min_col=len(self.col_list)+1,
min_row=4,
max_col=self.all_col,
max_row=4
)
#将数据添加到系列中
seriesObj = Series(data, title='压力')
format_str = "第{0}次记录:/n压力:{1}".format(seriesObj.xVal,seriesObj.yVal)
# seriesObj.labels
self.chart.append(seriesObj)
# self.chart.add_data(data, from_rows=False)
# style = self.chart.series[0]
# style.smooth = True
self.ws.add_chart(self.chart, "A6")
def create(self,value=None):
if value:
self.ws.cell(row=1, column=1).value = value
self.create_row1()
self.add_data()
self.draw_line_chart()
def save(self, filename):
try:
self.wb.save(filename)
except:
self.wb.save(filename[:-5] + str('_' + Utils.getFileName()) + filename[-5:])
# 关闭excel
self.close()
def close(self):
self.wb.close()
if __name__ == '__main__':
er = ExportReport(1, 2, 3, 4, 5, [17, 15, 19, 13,24])
er.create()
er.wb.save('17表.xlsx')
python操作Excel、openpyxl 之图表,折线图、饼图、柱状图等的更多相关文章
- python操作excel——openpyxl
一.概述 python操作excel各个库对比:https://www.cnblogs.com/paul-liang/p/9187503.html 官方文档:https://openpyxl.read ...
- python操作excel (openpyxl)
最近看到好几次群里有人问xlwt.wlrd的问题,怎么说呢,如果是office2007刚出来,大家用xlsx文件用不习惯,还可以理解,这都10年过去了喂,就算没有进化到office2016,还在用of ...
- RDLC报表系列(六) 多图表-折线图和柱状图
美好的一天开始了,这篇是RDLC系列的最后一篇文章,我的小项目也已经release,正在测试中. 1.新建demo3.aspx和demo3.rdlc文件 2.往rdlc文件中拖一个图标控件,在弹出的窗 ...
- python 操作excel openpyxl
1 安装 pip install openpyxl 如果装不上,请指定安装源来安装 pip install -i https://pypi.douban.com/simple openpyxl 如果e ...
- Python操作excel,及图表展示
学习:http://www.cnblogs.com/Lands-ljk/p/5444619.html
- excel在一个图表内,显示折线图和柱状图
折线图和柱状图,在同一个图表中拆分显示 一个图,设置主坐标轴 另外一个图,设置次坐标轴 拆分,通过调整纵坐标的最小值和最大值来实现 关于图表的标题,选中图表,选择布局,然后图表 ...
- Python 利用Python操作excel表格之openyxl介绍Part2
利用Python操作excel表格之openyxl介绍 by:授客 QQ:1033553122 欢迎加入全国软件测试交流qq群(群号:7156436) ## 绘图 c = LineChart() ...
- 自动化办公:python操作Excel
1.安装 -- upgrade pippython -m pip install --- install pypipip install pypi 执行python setup.py install进 ...
- Python操作excel(xlrd和xlwt)
Python操作excel表格有很多支持的库,例如:xlrd.xlwt.openpyxl.win32com,下面介绍使用xlrd.xlwt和xlutils模块这三个库不需要其他的支持,在任何操作系统上 ...
- Python 利用Python操作excel表格之openyxl介绍Part1
利用Python操作excel表格之openyxl介绍 by:授客 QQ:1033553122 欢迎加入全国软件测试交流qq群(群号:7156436),免费获取以下性能监控工具(类似Nmon精简版) ...
随机推荐
- 第4章 简单的C程序设计——选择结构程序设计
在顺序结构中,各语句是按自上而下的顺序执行的,执行完上一个语句就自动执行下一个语句,是无条件的,不必作任何判断.实际上,很多情况下,需要根据某个条件是否满足来决定是否执行指定的操作任务,或者从给定的两 ...
- LinkedBlockingQueue源码解析
上一篇博客,我们介绍了ArrayBlockQueue,知道了它是基于数组实现的有界阻塞队列,既然有基于数组实现的,那么一定有基于链表实现的队列了,没错,当然有,这就是我们今天的主角:LinkedBlo ...
- 【机器学习】--xgboost初始之代码实现分类
一.前述 上节我们讲解了xgboost的基本知识,本节我们通过实例进一步讲解. 二.具体 1.安装 默认可以通过pip安装,若是安装不上可以通过https://www.lfd.uci.edu/~goh ...
- 理解滑动平均(exponential moving average)
1. 用滑动平均估计局部均值 滑动平均(exponential moving average),或者叫做指数加权平均(exponentially weighted moving average),可以 ...
- 【反编译系列】二、反编译代码(jeb)
版权声明:本文为HaiyuKing原创文章,转载请注明出处! 概述 一般情况下我们都是使用dex2jar + jd-gui的方式反编译代码,在实际使用过程中,有时候发现反编译出来的代码阅读效果不是很好 ...
- TabTopUnderLineLayout【自定义顶部选项卡(带下划线)】
版权声明:本文为HaiyuKing原创文章,转载请注明出处! 前言 自定义顶部选项卡布局LinearLayout类,实现带下划线样式的效果. 备注:如果配合Fragment的话,MainActivit ...
- Docker系列之入门篇
Dcoker是什么? 概述 Docker 是世界领先的软件容器平台.开发人员利用 Docker 可以消除协作编码时“在我的机器上可正常工作”的问题.运维人员利用 Docker 可以在隔离容器中并行运行 ...
- Spring Cloud番外篇-001
熔断监控:Hystrix Dashboard Hystrix Dashboard是一款针对Hystrix进行实时监控的工具,通过Hystrix Dashboard可以直观地看到个Hystrix Com ...
- 第一册:lesson 113.
原文:Small changes. question:Who has got some small changes? Fares,please! Trafalgar Square,please. I' ...
- MySQL 笔记整理(12) --为什么我的MySQL会“抖”一下?
笔记记录自林晓斌(丁奇)老师的<MySQL实战45讲> (本篇内图片均来自丁奇老师的讲解,如有侵权,请联系我删除) 12) --为什么我的MySQL会“抖”一下? 断更了一段时间,因为这几 ...