可能是最强的Python可视化神器，建议一试！

1. Plotly

Plotly制图

我尝试做了折线图、散点图和直方图，首先导入库：

from plotly.graph_objs import Scatter,Layoutimport plotlyimport plotly.offline as pyimport numpy as npimport plotly.graph_objs as go#setting offilne 离线模式plotly.offline.init_notebook_mode(connected=True)

专属福利 
👉点击领取：最全Python资料合集

1. 制作折线图

N = 100random_x = np.linspace(0,1,N)random_y0 = np.random.randn(N)+5random_y1 = np.random.randn(N)random_y2 = np.random.randn(N)-5
#Create tracestrace0 = go.Scatter(    x = random_x,    y = random_y0,    mode = 'markers',    name = 'markers')trace1 = go.Scatter(    x = random_x,    y = random_y1,    mode = 'lines+markers',    name = 'lines+markers')trace2 = go.Scatter(    x = random_x,    y = random_y2,    mode = 'lines',    name = 'lines')data = [trace0,trace1,trace2]py.iplot(data)

折线图

1. 制作散点图

trace1 = go.Scatter(     y = np.random.randn(500),    mode = 'markers',    marker = dict(        size = 16,        color = np.random.randn(500),        colorscale = 'Viridis',        showscale = True    ))data = [trace1]py.iplot(data)

散点图

1. 直方图

trace0 = go.Bar(    x = ['Jan','Feb','Mar','Apr', 'May','Jun',         'Jul','Aug','Sep','Oct','Nov','Dec'],    y = [20,14,25,16,18,22,19,15,12,16,14,17],    name = 'Primary Product',    marker=dict(        color = 'rgb(49,130,189)'    ))trace1 = go.Bar(    x = ['Jan','Feb','Mar','Apr', 'May','Jun',         'Jul','Aug','Sep','Oct','Nov','Dec'],    y = [19,14,22,14,16,19,15,14,10,12,12,16],    name = 'Secondary Product',    marker=dict(        color = 'rgb(204,204,204)'    ))data = [trace0,trace1]py.iplot(data)

直方图

比如一些股票的K线图，大家有兴趣可以研究研究~

 1

热门推荐

• Python爬取天气数据及可视化分析！
• NumPy教程-Numpy的hypot()方法
• 给领导备注为“X狗“被发现，尴尬~