import plotly.graph_objects as go import numpy as np N = 100000 r = np.random.uniform(0, 1, N) # 随机生成0-1之间100000的一个浮点数 theta = np.random.uniform(0, 2*np.pi, N) # 随机生成0-2*pi之间的100000个浮点数 fig = go.Figure(data=go.Scattergl( x = r * np.cos(theta),...
# plotly express figure fig = px.sunburst(df, path=["gender", "age"]) fig.show() 据我所知,您需要重新构建数据以使用graph_objects。目前,您的数据格式如下: graph_objects需要使用label = ['12', '13', '15', '20', '21', 'female', 'male']。那么现在怎么办?要痛苦地为每个元素找到正确...
import plotly.graph_objects as go from datetime import datetime 创建日期数据和散点数据: 代码语言:txt 复制 dates = [datetime(2022, 1, 1), datetime(2022, 1, 2), datetime(2022, 1, 3)] values = [10, 15, 12] 创建散点图: 代码语言:txt 复制 fig = go.Figure(data=go.Scatter(x=da...
information,runhelp(Obj)on anyofthe following objects defined here.The reasonforthepackagegraph_objs and the module graph_objs is to provide a clearerAPIforusers.PACKAGECONTENTS_area _bar _box _candlestick _carpet _choropleth _cone _contour _contourcarpet _deprecations _figure _figurewidget _frame _...
class plotly.graph_objects.Figure(data=None, layout=None, frames=None, skip_invalid=False, **kwargs)¶ __init__(data=None, layout=None, frames=None, skip_invalid=False, **kwargs)¶ Create a new :class:Figure instance Parameters data – The ‘data’ property is a tuple of trace ...
import plotly.graph_objects as go months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'] # 生成画布对象 fig = go.Figure() # 添加多个图形轨迹 fig.add_trace(go.Bar( x=months, ...
importplotly.graph_objectsaspx importnumpyasnp # creating random data through randomint # function of numpy.random np.random.seed(42) random_y=np.random.randint(1,101,100) x=['A','B','C','D'] plot=px.Figure() plot.add_trace(px.Box(y=random_y,quartilemethod="linear",name="linear...
import plotly.graph_objects as go import pandas as pd # 如何使用pandas读取网页在线的csv文件 df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/violin_data.csv") fig = go.Figure() fig.add_trace(go.Violin(
fig=go.Figure() fig.add_trace(go.Histogram(x=df['sepal_width'])) fig.add_trace(go.Histogram(x=df['species_id'])) fig.update_layout(barmode='stack') fig.show() 输出: 注:本文由VeryToolz翻译自Histograms in Plotly using graph_objects class,非经特殊声明,文中代码和图片版权归原作者nishant...
import plotly.express as px import plotly.graph_objects as go df = px.data.tips() fig = go.Figure(data =[go.Scatter3d(x = df['total_bill'], y = df['time'], z = df['tip'], mode ='markers')]) fig.show() 输出:例2:Python 3...