5import plotly.figure_factory as fff 6import numpy as np 7 8 9class Distplots: 10 def ___init__(self): 11 print "distplots图标生成!" 12 13 def makeDistplot(self, data, group): 14 fig = fff.create_distplot(data, g
import plotly.plotly import plotly.figure_factory as fff import numpy as np class Distplots: def ___init__(self): print "distplots图标生成!" def makeDistplot(self, data, group): fig = fff.create_distplot(data, group) plotly.offline.plot(fig, filename="3333.html") if __name__ == ...
plotly.figure_factory.create_distplot(hist_data, group_labels, bin_size=1.0, curve_type='kde', colors=None, rug_text=None, histnorm='probability density', show_hist=True, show_curve=True, show_rug=True) Function that creates a distplot similar to seaborn.distplot; this function is ...
#!/usr/bin/python# coding=utf-8importplotly.plotlyimportpandasaspdimportplotly.figure_factoryasffimportsecond.mysqlif__name__=="__main__":a=second.mysql.Mysql()b=a.getApiTimes('/article/list/userfeed','/article/detail','/article/info','/advertise/api/list','/common/menu')df=pd.DataFra...
可以使用标准的ploty函数figure_factory.create_scatterplotmatrix()绘制pairplot。可以从直方图、散点图或方框类型中选择对角线图类型。背景和纸张颜色也可以定制。但是如果我们想绘制一个三角形矩阵,我们必须自定义。 scores= ['math score', 'writing score', 'reading score'] df_scores =df_study[scores] fig ...
importosimportpandasaspdimportnumpyasnpimportrandomimportmatplotlib.pyplotasplt%matplotlib inlinefromdatetimeimportdate,time,datetimeimportplotly.graph_objsasgoimportplotly.offlineaspyoimportplotly.figure_factoryasffimportplotly.expressaspxfromplotlyimporttoolsfromplotly.subplotsimportmake_subplotsfromplotly.offlineimport...
Output(component_id ="fig1", component_property ="figure"),# 更新 ID 为 fig1 的图表的 figure 属性Output(component_id ="fig2", component_property ="figure"), Output(component_id ="fig2_style", component_property ="style"),# 更新 ID 为 fig2 的图表的 style 属性(可以用于控制可见性或...
的组合,例如直方图、核密度估计或正态曲线和地毯图。 distplot 可以由以下 3 个组件的或任意组合组成 – 直方图 曲线:(a)核密度估计或(b正态曲线以及 地毯图 所述figure_factory模块createdistplot()函数,其需要称为hist_data强制参数。 以下代码创建了一个基本的 distplot由直方图、kde 图和 rug 图...
The figure_factory module has create_distplot() function which needs a mandatory parameter called hist_data.Following code creates a basic distplot consisting of a histogram, a kde plot and a rug plot.x = np.random.randn(1000) hist_data = [x] group_labels = ['distplot'] fig = ff....
st.plotly_chart(figure_or_data, use_container_width=False, sharing="streamlit", **kwargs) 示例 下面的示例直接来自https://plot.ly/python的示例: importstreamlitasstimportplotly.figure_factoryasffimportnumpyasnp# Add histogram datax1 = np.random.randn(200) -2x2 = np.random.randn(200) ...