python主流绘图工具：matplotlib ，seaborn,pandas ，openpyxl ,xslwriter
openpyxl :首先说下这个官网的demo，看的有点懵，没有具体说明多个图在一个excel引用不通ws Rererence 只是简单的一个deepcopy 用的一点懵逼，反正我是没看懂，其次多sheet写入也未做拓展，
看了下博客哪些水军一篇粘贴复制毫无新意：
下面以openpyxl 3d bar 柱状图为例：演示效果多sheet 生成柱状图：
官网：https://openpyxl.readthedocs.io/en/latest/charts/bar.html#d-bar-charts
from openpyxl import Workbook
from openpyxl.chart import (
Reference,
Series,
BarChart3D,
)
def bar_3d(configurations: dict):
""""
paint 3d bar in the excel ,
configuration={"data":None,"Title":None,"sheet_name":None,"index":None}
data:[
[姓名，column1,column2],
[value_name,value_col1,value_col2],
[value_name2,value_column2,value_column2]
]
"""
wb = Workbook()
for configuration in configurations:
sheet = configuration["sheet_name"]
ws = wb.create_sheet(sheet, index=configuration["index"])
rows = configuration["data"]
rows.insert(0, configuration["axis_x"])
for row in rows:
ws.append(row)
data = Reference(ws, min_col=2, min_row=1, max_col=3, max_row=7)
titles = Reference(ws, min_col=1, min_row=2, max_row=7)
chart = BarChart3D()
chart.title = configuration["Title"]
chart.add_data(data=data, titles_from_data=True)
chart.set_categories(titles)
chart.height=16
chart.width=28
chart.shape="box"
ws.add_chart(chart, "E5")
save_path = "test_static.xlsx"
wb.save(save_path)
解释参数：configurations 是一个存放许多configranition 的列表：每个configration 结构如注释：
configuration={"data":None,"Title":None,"sheet_name":None,"index":None}
data:[
[value_name,value_col1,value_col2],
[value_name2,value_column2,value_column2]
]
data就是要写入的数据包含header 和value,data[0]是表头，data[1:]全部是数据，index代表插入excel的sheet的index也就是第几个sheet,Title是绘制柱状图的title：
chart.height是图表的高度，width是宽度，add_chart 是插入chart 方法“E5"指定在excel插入位置，
rows.insert(0, configuration["axis_x"]) 这里插入是type分类的名称也就是rows.insert(0,[姓名，column1,column2])
，看个实际效果吧这个type就对应周日饱和，和bug提交量两列
多个sheet查看：
第二部分:使用pandas 绘图结合xslwriter：
官网：https://xlsxwriter.readthedocs.io/example_pandas_chart_columns.html
我就直接上代码了数据自己造了个用pandas：
import pandas as pd
def panda_chart(df_list, cols, title_x, title_y):
"""
data of narray
index of data_frame: [0,1,2,3]
cols numbers of static columns
"""
writer = pd.ExcelWriter('pandas_chart_columns2.xlsx', engine='xlsxwriter')
for i, df in enumerate(df_list):
# df = pd.DataFrame(data, index=None, columns=["姓名", "饱和度", "人力"])
sheet_name = f'Sheet{i}'
df.to_excel(writer, sheet_name=sheet_name,index=False)
workbook = writer.book
worksheet = writer.sheets[sheet_name]
chart = workbook.add_chart({'type': 'column'})
# set colors for the chart each type .
colors = ['#E41A1C', '#377EB8'] # , '#4DAF4A', '#984EA3', '#FF7F00']
# Configure the series of the chart from the dataframe data.
for col_num in range(1, cols + 1):
chart.add_series({
'name': [f'{sheet_name}', 0, col_num],
'categories': [f'{sheet_name}', 1, 0, 4, 0], # axis_x start row ,start col,end row ,end col
'values': [f'{sheet_name}', 1, col_num, 4, col_num], # axis_y value of
'fill': {'color': colors[col_num - 1]}, # each type color choose
'overlap': -10,
})
# Configure the chart axes.
chart.set_x_axis({'name': f'{title_x}'})
chart.set_y_axis({'name': f'{title_y}', 'major_gridlines': {'visible': False}})
chart.set_size({'width': 900, 'height': 400})
# Insert the chart into the worksheet.
worksheet.insert_chart('H2', chart)
writer.save()
if __name__ == '__main__':
data=[("a",2,4),("b",5,7)]
df = pd.DataFrame(data, index=None, columns=["姓名", "饱和度", "人力"])
panda_chart([df],2,"title x","title y")
