Add possibility to add new layouts (markers and lines) in RenderBokeh() method

[Tim55667757]

No description provided.

[Tim55667757]

You can manipulate with chart and adding lines or markers to the main chart now. Use markers and lines parameters for it.

markers is a list with custom series, where additional markers will place on main series. None by default. One marker is a custom symbol, e.g. ×, ↓ or ↑ or anyone else. Marker data must contain at least two columns. There are datetime with date and time and some markers columns (markersUpper, markersCenter or markersLower). Length of marker dataframes must be equal to the length of main candle series.

lines is a list with custom series, where additional chart-lines will place on main series. None by default. Line data must contain at least two columns. There are datetime with date and time and custom_line_name with y-coordinates. Length of the chart-line dataframes must be equal to the length of main candle series.

Example:

from pricegenerator.PriceGenerator import PriceGenerator, uLogger
from datetime import datetime, timedelta
import pandas as pd

uLogger.setLevel(0)  # Disable logging messages.

# Initialize PriceGenerator:
priceModel = PriceGenerator()
priceModel.ticker = "TEST_PRICES"
priceModel.precision = 0
priceModel.timeframe = timedelta(days=1)
priceModel.timeStart = datetime.today()
priceModel.horizon = 75
priceModel.maxClose = 140
priceModel.minClose = 40
priceModel.initClose = 50
priceModel.maxOutlier = 35
priceModel.maxCandleBody = 15
priceModel.maxVolume = 400000
priceModel.upCandlesProb = 0.51
priceModel.outliersProb = 0.1
priceModel.trendDeviation = 0.005
priceModel.trendSplit = "/\/"
priceModel.splitCount = [40, 10, 25]

priceModel.Generate()  # Generate main candles series.

# Let's draw new average line on the main chart and set markers on the top, center and bottom of candles:
priceModel.prices["avg"] = priceModel.prices.low + (priceModel.prices.high - priceModel.prices.low) / 2
priceModel.prices["markersUpper"] = pd.Series(["↓"] * len(priceModel.prices.high))
priceModel.prices["markersCenter"] = pd.Series(["×"] * len(priceModel.prices.avg))
priceModel.prices["markersLower"] = pd.Series(["↑"] * len(priceModel.prices.low))
priceModel.RenderBokeh(
    fileName="index1.html",
    viewInBrowser=True,
    darkTheme=True,  # Set `False` for light theme.
    markers=priceModel.prices[["datetime", "markersUpper", "markersCenter", "markersLower"]],
    lines=[priceModel.prices[["datetime", "avg"]]],
    showStatOnChart=True,
    showControlsOnChart=True,
    inline=False,  # Set `True` if script runs in Jupyter Notebook.
)

Output:

[Tim55667757]

Implemented since v1.2.dev77

Debug build: https://app.travis-ci.com/github/Tim55667757/PriceGenerator/builds/259302083
Artifact in PyPI for testing: https://pypi.org/project/pricegenerator/1.2.dev77/

[Tim55667757]

Parameter markers has Pandas DataFrame type now. Count of anomalies was added to markers legend label.

[Tim55667757]

Render will be faster now if you setshowStatOnChart=False

[Tim55667757]

New test code for checking this issue:

from pricegenerator.PriceGenerator import PriceGenerator, uLogger
from datetime import datetime, timedelta
import pandas as pd

uLogger.setLevel(10)
uLogger.level = 10
uLogger.handlers[0].level = 10

# Initialize PriceGenerator:
priceModel = PriceGenerator()
priceModel.ticker = "TEST_PRICES"
priceModel.precision = 0
priceModel.timeframe = timedelta(days=1)
priceModel.timeStart = datetime.today()
priceModel.horizon = 75
priceModel.maxClose = 240
priceModel.minClose = 140
priceModel.initClose = 150
priceModel.maxOutlier = 35
priceModel.maxCandleBody = 15
priceModel.maxVolume = 400000
priceModel.upCandlesProb = 0.51
priceModel.outliersProb = 0.1
priceModel.trendDeviation = 0.005
# priceModel.trendSplit = "/\/"
# priceModel.splitCount = [40, 10, 25]

priceModel.Generate()  # Generate main candles series.
# priceModel.LoadFromFile("pricegenerator/test.csv")  # Generate main candles series.

# Let's draw new average line on the main chart and set markers on the top, center and bottom of candles:
priceModel.prices["avg"] = priceModel.prices.low + (priceModel.prices.high - priceModel.prices.low) / 2
priceModel.prices["markersUpper"] = pd.Series(["↓"] * len(priceModel.prices.high))
priceModel.prices["markersCenter"] = pd.Series(["×"] * len(priceModel.prices.avg))
priceModel.prices["markersLower"] = pd.Series([""] * len(priceModel.prices.low))
priceModel.RenderBokeh(
    fileName="index1.html",
    viewInBrowser=True,
    darkTheme=True,  # Set `False` for light theme.
    markers=priceModel.prices[["datetime", "markersUpper", "markersCenter", "markersLower"]],
    lines=[priceModel.prices[["datetime", "avg"]]],
    title="Test",
    showControlsOnChart=True,
    showStatOnChart=True,
    inline=False,
)

Dark style example:

Light style example:

[Tim55667757]

Also, #19 bug fixed. Example:

[Tim55667757]

Implement since build v1.3.dev78

Debug build: https://app.travis-ci.com/github/Tim55667757/PriceGenerator/builds/259412521
PyPI artifact for testing: https://pypi.org/project/pricegenerator/1.3.dev78/