Python pyecharts Boxplot箱线图的实现
本篇博客只是单纯的记录一下自己学习Boxplot,没有过多的解释,官网:》》Boxplot
import seaborn as sns import numpy as np import pandas as pd import matplotlib as mpl import matplotlib.pyplot as plt %matplotlib inline plt.rcParams['font.sans-serif']=['Microsoft YaHei'] # 用来正常显示中文标签 plt.rcParams['axes.unicode_minus']=False # 用来正常显示负号 from datetime import datetime plt.figure(figsize=(16,10)) import pyecharts.options as opts from pyecharts.charts import Line from pyecharts.faker import Faker from pyecharts.charts import Bar import os from pyecharts.options.global_options import ThemeType
cnboo=pd.read_excel("c.xls")
处理数据:
cnbotypegb=cnboo.groupby(['TYPE','SHOWYEAR'])['BO'].sum().replace() cnbotypegbrst=cnbotypegb.reset_index().replace()
filmtype=cnbotypegbrst['TYPE'].unique()
对行标签和列标签进行转置:
cnbotypegbrst.T.index
cnbopvt=cnbotypegbrst.pivot(index='TYPE', columns='SHOWYEAR', values='BO' )
cnbopvtv2=cnbopvt.iloc[:,2:].replace() cnbopvtv2.index
cnbopvtv2=cnbopvtv2.fillna(0).replace()
xlist=cnbopvtv2.index.tolist()
xlist一共有12个,因此循环12次:
y_data=[] for i in range(0,12): y_data.append(cnbopvtv2.iloc[i].tolist())
得到的y_data数据:
[[47923.0, 64988.0, 0.0, 80506.0, 0.0, 69628.0, 69960.0, 0.0, 104853.0, 539542.0, 157535.0], [48249.0, 160800.0, 153735.0, 336616.0, 370696.0, 263476.0, 916503.0, 1010848.0, 1828313.0, 1835840.0, 875026.0], [30916.0, 160800.0, 86419.0, 65659.0, 39472.0, 263476.0, 201318.0, 309825.0, 226052.0, 1835840.0, 152997.0], [30916.0, 160800.0, 18648.0, 65659.0, 39472.0, 263476.0, 201318.0, 309825.0, 226052.0, 1835840.0, 152997.0], [53837.0, 91838.0, 36093.0, 100303.0, 58872.0, 285139.0, 647028.0, 451028.0, 765806.0, 1063170.0, 454325.0], [53837.0, 22874.0, 14934.0, 100303.0, 124699.0, 285139.0, 320647.0, 430395.0, 235246.0, 89988.0, 15283.0], [20510.0, 22874.0, 14934.0, 18806.0, 124699.0, 41184.0, 320647.0, 430395.0, 235246.0, 89988.0, 15283.0], [40329.0, 22874.0, 85732.0, 36994.0, 124699.0, 41184.0, 320647.0, 430395.0, 118754.0, 89988.0, 15283.0], [44745.0, 22874.0, 85732.0, 36994.0, 124699.0, 41184.0, 62967.0, 430395.0, 118754.0, 89988.0, 15283.0], [28092.0, 72729.0, 82385.0, 182193.0, 255790.0, 259325.0, 62967.0, 160092.0, 118754.0, 136152.0, 112725.0], [51321.0, 213633.0, 148063.0, 225026.0, 258684.0, 563843.0, 344841.0, 82557.0, 179793.0, 139666.0, 465533.0], [15524.0, 38100.0, 86684.0, 225026.0, 31579.0, 150820.0, 344841.0, 82557.0, 179793.0, 139666.0, 465533.0]]
最后绘制图表:
import pyecharts.options as opts from pyecharts.charts import Grid, Boxplot, Scatter scatter_data = [650, 620, 720, 720, 950, 970] box_plot = Boxplot({"Theme":ThemeType.ESSOS}) box_plot = ( box_plot.add_xaxis(xaxis_data=xlist) .add_yaxis(series_name="", y_axis=box_plot.prepare_data(y_data)) .set_global_opts( title_opts=opts.TitleOpts( pos_left="center", title="2009-2019中国电影票房分类箱型图" ), tooltip_opts=opts.TooltipOpts(trigger="item", axis_pointer_type="shadow"), xaxis_opts=opts.AxisOpts( type_="category", boundary_gap=True, splitarea_opts=opts.SplitAreaOpts(is_show=False), axislabel_opts=opts.LabelOpts(formatter="{value}"), splitline_opts=opts.SplitLineOpts(is_show=False), ), yaxis_opts=opts.AxisOpts( type_="value", name="票房(万元)", splitarea_opts=opts.SplitAreaOpts( is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1) ), ), ) .set_series_opts(tooltip_opts=opts.TooltipOpts(formatter="{a}: {c}")) )# {a}:系列名称,{b}:数据名称,{c}:数值数组,{d}:无 scatter = ( Scatter() .add_xaxis(xaxis_data=xlist) .add_yaxis(series_name="", y_axis=scatter_data) .set_global_opts( title_opts=opts.TitleOpts( pos_left="10%", pos_top="90%", title="upper: Q3 + 1.5 * IQR \nlower: Q1 - 1.5 * IQR", title_textstyle_opts=opts.TextStyleOpts( border_color="#999", border_width=1, font_size=14 ), ), yaxis_opts=opts.AxisOpts( axislabel_opts=opts.LabelOpts(is_show=False), axistick_opts=opts.AxisTickOpts(is_show=False), ), ) ) grid = ( Grid(init_opts=opts.InitOpts(width="600px", height="400px")) .add( box_plot, grid_opts=opts.GridOpts(pos_left="10%", pos_right="10%", pos_bottom="15%"), ) .add( scatter, grid_opts=opts.GridOpts(pos_left="10%", pos_right="10%", pos_bottom="15%"), ) ) grid.render_notebook()
也可以直接使用下面的代码,简单的绘制一张图:
boxplot=(Boxplot() .add_xaxis(xlist) .add_yaxis("电影数据",y_data) ) boxplot.render_notebook()
到此这篇关于Python pyecharts Boxplot箱线图的实现的文章就介绍到这了,更多相关Python pyecharts Boxplot箱线图内容请搜索我们以前的文章或继续浏览下面的相关文章希望大家以后多多支持我们!
赞 (0)