Python:绘制带有自动Y缩放的烛台 [英] Python: Plot candlesticks with automatic Y zoom

问题描述

我正在寻找一个Python绘图库，该库允许我通过鼠标滚轮滚动(或类似操作)和X缩放(缩放时自动缩放的Y轴)来绘制带有X缩放的烛台(最好是OHLC条形式).

作为我正在寻找的示例，tradingview.com完美地做到了这一点.参见 https://uk.tradingview.com/chart/?symbol=NASDAQ:NDX .通过单击左上角附近的烛台图标并选择条形"，可以看到OHLC条形.

Plotly几乎可以做到这一点. plotly.graph_objs中的Ohlc类提供了OHLC条形图，默认的rangelider是X缩放的一个不错的功能(也可以轻松启用鼠标滚轮滚动).但是据我所知，Python中没有自动Y缩放功能( https://plot.ly/python/ohlc-charts/

我熟悉的另一个选项是PyQtGraph，它具有不错的缩放功能，但不支持烛台图.使用此方法将涉及对我自己的烛台对象进行编码.

我不知道有各种各样的Python绘图库.那里有什么可以立即使用的支持吗?谁能提供示例代码来干净地做到这一点?

解决方案

这是在finplot中执行的方法:

import yfinance as yf
import finplot as fplt

df = yf.download('^NDX', start='2018-01-01', end='2020-04-29')
print(df)
fplt.candlestick_ochl(df[['Open','Close','High','Low']])
fplt.show()

免责声明:我是作者. Finplot具有自动Y缩放功能，使用干净的api快速且自以为是.请参见示例此处.

I am looking for a Python plotting library that allows me to plot candlesticks (preferably the OHLC bars variant) with X zoom via mousewheel scrolling (or similar) and an automatically scaled Y axis when zooming.

As an example of what I am looking for, tradingview.com does this perfectly. See https://uk.tradingview.com/chart/?symbol=NASDAQ:NDX. OHLC bars can be seen by clicking the candlestick icon near the top left and selecting 'Bars'.

Plotly is almost able to do this. The Ohlc class in plotly.graph_objs give the OHLC bars, and the default rangeslider is a nice feature for X zoom (mousewheel scrolling can also be easily enabled). However automatic Y scaling is not available in Python as far as I can see (Y-axis autoscaling with x-range sliders in plotly), thus zooming in on a section of data makes it appear flat. Example code - https://plot.ly/python/ohlc-charts/

Another option I am familiar with is PyQtGraph, which has nice zoom features but does not have support for candlestick plots. Using this would involve coding my own candlestick object.

There are a wide range of Python plotting libraries out there that I don't know. Is there anything out there that has out of the box support for this? Can anyone provide example code to do this cleanly?

解决方案

This is how to do it in finplot:

import yfinance as yf
import finplot as fplt

df = yf.download('^NDX', start='2018-01-01', end='2020-04-29')
print(df)
fplt.candlestick_ochl(df[['Open','Close','High','Low']])
fplt.show()

Disclaimer: I am the author. Finplot has auto-Y-scaling, is fast and opinionated with a clean api. See examples here.

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