Python pyecharts绘制折线图详解
一、绘制折线图
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
# 读入数据 cnbodfgbsort=pd.read_csv("cnbodfgbsort.csv")
得到的cnbodfgbsort数据:
import pyecharts.options as opts from pyecharts.charts import Line from pyecharts.faker import Faker c = ( Line() .add_xaxis(cnbodfgbsort.TYPE.tolist()) #X轴 .add_yaxis("票价",cnbodfgbsort.PRICE.tolist()) #Y轴 .add_yaxis("人次",cnbodfgbsort.PERSONS.tolist()) #Y轴 .set_global_opts(title_opts=opts.TitleOpts(title="电影票价与人次")) #标题 ) c.render_notebook() # 显示
二、添加最小值最大值平均值
import pyecharts.options as opts from pyecharts.charts import Line from pyecharts.faker import Faker c = ( Line() .add_xaxis(cnbodfgbsort.TYPE.tolist()) .add_yaxis("票价",cnbodfgbsort.PRICE.tolist()) .add_yaxis("人次",cnbodfgbsort.PERSONS.tolist(), markpoint_opts=opts.MarkPointOpts( data=[ opts.MarkPointItem(type_="max", name="最大值"), opts.MarkPointItem(type_="min", name="最小值"), ] ), markline_opts=opts.MarkLineOpts( data=[opts.MarkLineItem(type_="average", name="平均值")] ),) .set_global_opts(title_opts=opts.TitleOpts(title="电影票价与人次")) ) c.render_notebook()
三、竖线提示信息
tooltip_opts=opts.TooltipOpts(trigger="axis")
四、显示工具栏
toolbox_opts=opts.ToolboxOpts(is_show=True)
五、实心面积填充
.set_series_opts( areastyle_opts=opts.AreaStyleOpts(opacity=0.5), # 透明度 label_opts=opts.LabelOpts(is_show=False), # 是否显示标签 )
六、是否跳过空值
import pyecharts.options as opts from pyecharts.charts import Line from pyecharts.faker import Faker y = Faker.values() y[3], y[5] = None, None c = ( Line() .add_xaxis(Faker.choose()) .add_yaxis("商家A", y, is_connect_nones=True) .set_global_opts(title_opts=opts.TitleOpts(title="Line-连接空数据")) .render("line_connect_null.html") )
如下图:y[3],y[5]数据都是空值,如果直接显示的话,图表会出错
# 使用这个参数来跳过空值,避免折现断掉 is_connect_nones=True
import pyecharts.options as opts from pyecharts.charts import Line from pyecharts.faker import Faker y = Faker.values() y[3], y[5] = None, None c = ( Line() .add_xaxis(Faker.choose()) .add_yaxis("商家A", y, is_connect_nones=True) .set_global_opts(title_opts=opts.TitleOpts(title="Line-连接空数据")) ) c.render_notebook()
七、折线光滑化
is_smooth=True
八、多X轴
参考官网:》multiple_x_axes
九、阶梯图
is_step=True
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