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這篇文章主要介紹“Python pyecharts怎么繪制折線圖”,在日常操作中,相信很多人在Python pyecharts怎么繪制折線圖問題上存在疑惑,小編查閱了各式資料,整理出簡單好用的操作方法,希望對大家解答”Python pyecharts怎么繪制折線圖”的疑惑有所幫助!接下來,請跟著小編一起來學(xué)習(xí)吧!
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'] # 用來正常顯示中文標(biāo)簽 plt.rcParams['axes.unicode_minus']=False # 用來正常顯示負(fù)號 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
# 讀入數(shù)據(jù) cnbodfgbsort=pd.read_csv("cnbodfgbsort.csv")
得到的cnbodfgbsort數(shù)據(jù):
import pyecharts.options as opts from pyecharts.charts import Line from pyecharts.faker import Faker c = ( Line() .add_xaxis(cnbodfgbsort.TYPE.tolist()) #X軸 .add_yaxis("票價",cnbodfgbsort.PRICE.tolist()) #Y軸 .add_yaxis("人次",cnbodfgbsort.PERSONS.tolist()) #Y軸 .set_global_opts(title_opts=opts.TitleOpts(title="電影票價與人次")) #標(biāo)題 ) c.render_notebook() # 顯示
import pyecharts.options as opts from pyecharts.charts import Line from pyecharts.faker import Faker c = ( Line() .add_xaxis(cnbodfgbsort.TYPE.tolist()) .add_yaxis("票價",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="電影票價與人次")) ) c.render_notebook()
tooltip_opts=opts.TooltipOpts(trigger="axis")
toolbox_opts=opts.ToolboxOpts(is_show=True)
.set_series_opts( areastyle_opts=opts.AreaStyleOpts(opacity=0.5), # 透明度 label_opts=opts.LabelOpts(is_show=False), # 是否顯示標(biāo)簽 )
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-連接空數(shù)據(jù)")) .render("line_connect_null.html") )
如下圖:y[3],y[5]數(shù)據(jù)都是空值,如果直接顯示的話,圖表會出錯
# 使用這個參數(shù)來跳過空值,避免折現(xiàn)斷掉 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-連接空數(shù)據(jù)")) ) c.render_notebook()
is_smooth=True
參考官網(wǎng):》multiple_x_axes
is_step=True
到此,關(guān)于“Python pyecharts怎么繪制折線圖”的學(xué)習(xí)就結(jié)束了,希望能夠解決大家的疑惑。理論與實(shí)踐的搭配能更好的幫助大家學(xué)習(xí),快去試試吧!若想繼續(xù)學(xué)習(xí)更多相關(guān)知識,請繼續(xù)關(guān)注億速云網(wǎng)站,小編會繼續(xù)努力為大家?guī)砀鄬?shí)用的文章!
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