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Python Version Drawing Class Library (Compatible 2/3)

Author: Inventors quantify - small dreams, Date: 2017-04-10 17:20:26
Tags: ToolPythonChart

Simplified logic for drawing strings on a strategy chart, allowing direct calls to function packs

  • Support for drawing multiple lines
  • Support for K-string diagrams
  • Support for flags with small icons
  • You can also add more graphics support.

Functionality equivalent to JS

Ported to the JS edition drawing line library

If you have any questions, please contact Little Dream 359706687


# Python 2/3 兼容版本
import time
chart = None
series = []
labelIdx = {}
preBarTime = 0
preFlagTime = 0
preDotTime = {}

cfg = {
    "tooltip" : {
        "xDateFormat" : "%Y-%m-%d %H:%M:%S, %A"
    },
    "legend" : {
        "enabled" : True
    },
    "plotOptions" : {
        "candlestick" : {
            "color" : "#d75442",
            "upColor" : "#6ba583"
        }
    },
    "rangeSelector" : {
        "buttons" : [{
            "type" : "hour",
            "count" : 1,
            "text" : "1h",
        }, {
            "type" : 'hour',
            "count" : 3,
            "text" : "3h"
        }, {
            "type" : "hour",
            "count" : 8,
            "text" : "8h"
        }, {
            "type" : "all",
            "text" : "All"
        }],
        "selected" : 2,
        "inputEnabled" : True
    },
    "series" : series,
}

def GetCfg():
    global cfg
    return cfg

# 画水平线
def PlotHLine(value = None, label = None, color = None, style = None):
    global cfg, chart
    if ("yAxis" in cfg) == False :
        cfg.setdefault("yAxis", {"plotLines" : []})
    elif ("plotLines" in cfg["yAxis"]) == False :
        cfg["yAxis"].setdefault("plotLines", [])
    
    obj = {
        "value" : value,
        "color" : color or "red",
        "width" : 2,
        "dashStyle" : style or "Solid",
        "label" : {
            "text" : label or "",
            "align" : "center"
        }
    }
    found = False
    for i in range(len(cfg["yAxis"]["plotLines"])) : 
        if cfg["yAxis"]["plotLines"][i]["label"]["text"] == label : 
            cfg["yAxis"]["plotLines"][i] = obj
            found = True
    if not found :
        cfg["yAxis"]["plotLines"].append(obj)
    if not chart :
        chart = Chart(cfg)
        chart.update(cfg)    # 更新图表
    else :
        chart.update(cfg)

# 画K线
def PlotRecords(records, title = None):
    global labelIdx, series, preBarTime, chart
    if not chart :
        chart = Chart(cfg)
        chart.reset()
    if ("candlestick" in labelIdx) == False : 
        cfg["__isStock"] = True
        seriesIdx = len(series)
        series.append({
            "type" : "candlestick",
            "name" : "" if title == None else title,
            "id" : "primary",
            "data" : []
            })
        chart.update(cfg)
        labelIdx.setdefault("candlestick", seriesIdx)
    else :
        seriesIdx = labelIdx["candlestick"]
    if isinstance(records, dict) and ("Time" in records) == True :
        Bar = records
        if Bar["Time"] == preBarTime :
            chart.add(seriesIdx, [Bar["Time"], Bar["Open"], Bar["High"], Bar["Low"], Bar["Close"]], -1)
        elif Bar["Time"] > preBarTime : 
            preBarTime = Bar.Time
            chart.add(seriesIdx, [Bar["Time"], Bar["Open"], Bar["High"], Bar["Low"], Bar["Close"]])    
    else :
        for i in range(len(records)) :
            if records[i]["Time"] == preBarTime :
                chart.add(seriesIdx, [records[i]["Time"], records[i]["Open"], records[i]["High"], records[i]["Low"], records[i]["Close"]], -1)
            elif records[i]["Time"] > preBarTime :
                preBarTime = records[i]["Time"]
                chart.add(seriesIdx, [records[i]["Time"], records[i]["Open"], records[i]["High"], records[i]["Low"], records[i]["Close"]])
    return chart

# 画指标线
def PlotLine(label, dot, Ntime = None):
    global labelIdx, chart, series, preDotTime
    if not chart :
        cfg.setdefault("xAxis", {
            "type" : "datetime"
            })
        chart = Chart(cfg)
        chart.reset()
    if (label in labelIdx) == False :
        seriesIdx = len(series)
        preDotTime.setdefault(str(seriesIdx), 0)
        labelIdx[label] = seriesIdx
        series.append({
            "type" : "line",
            "yAxis" : 0,
            "showInLegend" : True,
            "name" : label,
            "data" : [],
            "tooltip" : {"valueDecimals" : 5}
            })
        chart.update(cfg)
    else :
        seriesIdx = labelIdx[label]
    if Ntime == None :
        Ntime = _N(time.time() * 1000, 0)
    if preDotTime[str(seriesIdx)] != Ntime :
        preDotTime[str(seriesIdx)] = Ntime
        chart.add(seriesIdx, [Ntime, dot])
    else :
        chart.add(seriesIdx, [Ntime, dot], -1)
    return chart

# 画标记
def PlotFlag(time, text, title, shape = "", color = ""):
    global chart, cfg, labelIdx, preFlagTime
    if not chart :
        chart = Chart(cfg)
        chart.reset()
    label = "flag"
    if (label in labelIdx) == False : 
        seriesIdx = len(series)
        labelIdx[label] = seriesIdx
        series.append({
            "type" : "flags",
            "onSeries" : "primary",
            "data" : []
            })
        chart.update(cfg)
    else :
        seriesIdx = labelIdx[label]
    obj = {
        "x" : time,
        "color" : color,
        "shape" : shape,
        "title" : title,
        "text" : text
    }
    if preFlagTime != time : 
        preFlagTime = time
        chart.add(seriesIdx, obj)
    else :
        chart.add(seriesIdx, obj, -1)
    return chart

# 设置图表标题
def PlotTitle(title, chartTitle = None):
    global cfg
    if ("subtitle" in cfg) == True : 
        cfg["subtitle"] = {"text" : title}
    else :
        cfg.setdefault("subtitle", {"text" : title})
    if chartTitle != None :
        if (title in cfg) == True :
            cfg["title"] = {"text" : chartTitle}
        else :
            cfg.setdefault("title", {"text" : chartTitle})
    if chart :
        chart.update(cfg)

# 导出函数
ext.GetCfg = GetCfg
ext.PlotHLine = PlotHLine
ext.PlotRecords = PlotRecords
ext.PlotLine = PlotLine
ext.PlotFlag = PlotFlag
ext.PlotTitle = PlotTitle

# 测试代码
def main():
    isFirst = True
    while True:
        records = exchange.GetRecords()
        if records and len(records) > 0 :
            ext.PlotRecords(records, "BTC")
            if isFirst :
                ext.PlotFlag(records[-1]["Time"], "Start", "S")
                isFirst = False
                ext.PlotHLine(records[-1]["Close"], "Close")
        ticker = exchange.GetTicker()
        if ticker :
            ext.PlotLine("Last", ticker.Last)
            ext.PlotLine("buy", ticker.Buy + 10)
            ext.PlotTitle("Last" + str(ticker.Last))
        Sleep(60000)



Related

More

churchillxyHi, I'm using PlotFlag, and after refreshing the page, I often lose my drawn flag. Is there a solution to this?

churchillxyCan you group several k-lines into a graph? For example: k-line of btc + k-line of ETH

m0606It looks like a two-thirds Python-compatible drawing line library.

lwc87Teacher, is there any way to use this template function, the parameters in it won't work?

haorenCan you find a customized trend chart? Gather several k-lines into one icon; for example: btc price line + ltc price line + eth price line + multi-currency aggregate price line etc.

LogaThank you!

Inventors quantify - small dreamsWell, some parameters can't be transmitted incorrectly.

churchillxyThe problem has been solved, the number of titles is limited, the text can be rich, it cannot be reversed, thank you.

Inventors quantify - small dreamsThe mark that has been drawn, which is supposed not to be lost, has been drawn and if you do not change it, it will not change, it is fixed.

Inventors quantify - small dreamsIn the diagram above, you mark this is just on the FMZ page, the amount of data that is displayed on each partition page, if a chart has 100,000 data, you set it here to display 10,000 data on each partition page, and the 100,000 data will be displayed separately on 10 pages. This setting has nothing to do with your code design.

churchillxyWhat's the data cap per page here? How do I display it if my data exceeds this? /upload/asset/245f7442dfa3212019b47.png

Inventors quantify - small dreamsYou can use the latest multigraph line library. This library can only draw single lines.

Inventors quantify - small dreamsThe main function in the template is the use example, you can see it here.

Inventors quantify - small dreamsThank you for your support! Please leave a comment if you have any questions^^