在Python中使用图表库在烛台图上覆盖体积剖面

Question

我想用python在烛台图上绘制体积剖面图，这会导致这样的结果。在

我的主要ohlc数据将在pandas数据框中。在

Date,       Open,  High,  Low,   Close
2019-10-18, 54.09, 54.62, 53.35, 53.78
2019-10-17, 52.99, 54.16, 52.62, 53.93
2019-10-16, 52.92, 53.74, 52.51, 53.36

那么我的卷信息就会在另一个类似这样的数据帧中。在

^{pr2}$

我在我知道的每一个图书馆里都试过了，Matplotlib，Plotly，Bokeh。我试着简单地在烛台旁画一个条形图，但比例通常是关闭的。我对使用python中的任何标准图表库都感兴趣，这些库可以以相当简单的方式生成这个结果。希望这里有人知道一些方法。在

Answer 1

好吧，我决定深入研究这些精心编制的文档，看看能不能找到一种方法。结果没什么大不了的。我开始越来越喜欢情节化了。在

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 23 22:17:44 2019

@author: TysonU
"""
from plotly.offline import plot
import plotly.graph_objects as go
import random
import pandas as pd

#Create random OHLC and Volume
high = 40
low = 20
dev = 1
days = 100

fake_market = []
for each in range(days):
    ohlc = []
    ohlc.append(each)
    if each == 0:
        o = random.randrange(low, high)
        ohlc.append(o)
    else:
        ohlc.append(c) #I know
    h = random.randrange(o, high)
    ohlc.append(h)
    l = random.randrange(low, o)
    ohlc.append(l)
    c = random.randrange(l, h)
    ohlc.append(c)
    fake_market.append(ohlc)

fake_volume = [[x, random.randrange(10, 30)] for x in range(low, (high+1))]
df = pd.DataFrame(fake_market, columns=["Date", "Open", "High", "Low", "Close"])
df2 = pd.DataFrame(fake_volume, columns=["Volume", "Price"])

#Do all the plotly stuff
fig = go.Figure(
    data=[
        go.Bar(
            x=[str(x) for x in df2.Price.to_list()],
            y=[str(x) for x in df2.Volume.to_list()],
            orientation="h",
            xaxis="x",
            yaxis="y",
            visible=True,
            showlegend=False
        ),
        go.Candlestick(
            x=[str(x) for x in df.Date.to_list()],
            open=[str(x) for x in df.Open.to_list()],
            high=[str(x) for x in df.High.to_list()],
            low=[str(x) for x in df.Low.to_list()],
            close=[str(x) for x in df.Close.to_list()],
            xaxis="x2",
            yaxis="y2",
            visible=True,
            showlegend=False
        )
    ],
    layout=go.Layout(
        title=go.layout.Title(text="Candlestick With Volume Profile"),
        xaxis=go.layout.XAxis(
            side="top",
            range=[0, 300],
            rangeslider=go.layout.xaxis.Rangeslider(visible=False),
            showticklabels=False
        ),
        yaxis=go.layout.YAxis(
            side="left",
            range=[low, high],
            showticklabels=False
        ),
        xaxis2=go.layout.XAxis(
            side="bottom",
            title="Date",
            rangeslider=go.layout.xaxis.Rangeslider(visible=False),
            overlaying="x"
        ),
        yaxis2=go.layout.YAxis(
            side="right",
            title="Price",
            range=[low, high],
            overlaying="y"
        )
    )
)
template = ["plotly", "plotly_white", "plotly_dark", "ggplot2", "seaborn", "none"]
fig.update_layout(template=template[2])

plot(fig)

我不知道公开发布股票数据的法律是什么，所以我构建了一个简单的生成器来生成OHLC数据和成交量。真实的股票数据会让图表看起来不那么混乱。在

我还没弄清楚的是酒吧的那一面。目前他们在左边，但最好能在右边。不过应该很简单。在

好吧，希望这对某人有所帮助。祝你有美好的一天！在