How to remove these empty spaces in candle stick?

📊 Plotly Python
1 
import plotly.express as px
import plotly.graph_objects as go

trace = {
    'x': dataset.date + " " + dataset.time,
    'open': dataset.open,
    'close': dataset.close,
    'high': dataset.high,
    'low': dataset.low,
    'type': 'candlestick',
    'name': 'EURUSD'
}

layout = go.Layout({
    'title': {
        'text': 'EUR / USD',
        'font': {
            'size': 15
        }
    }
})

fig = go.Figure(data = [trace], layout=layout)

fig.show()

image
image1778×719 33.7 KB

2

Hello @aadarsh and welcome to the plotly community !

Have you checked out this example from the docs for hiding weekends and non business hours in timeseries visualizations.
Go to the Hiding Weekends and holidays sections on this page.

3

Yep, Encountering this issue!

def plyplot(dataset, name = ""):
  
  trace = {
      'x': dataset.date + " " + dataset.time,
      'open': dataset.open,
      'close': dataset.close,
      'high': dataset.high,
      'low': dataset.low,
      'type': 'candlestick',
      'name': name
  }

  layout = go.Layout({
      'title': {
          'text': name,
          'font': {
              'size': 15
          }
      }
  })

  fig = go.Figure(data = [trace], layout=layout)

  fig.update_xaxes(
    rangebreaks=[
        dict(bounds=["sun", "sat"], pattern="day"),
    ]
  )

  fig.show()

image
image1185×581 32.1 KB

4

Hi @atharvakatre

I have tried to hide the gaps in every possible way with xaxes type=“date”, and I just could not.

The link you have provided may perhaps work for daily charts, but what about H4 charts, M15 charts?

The closest I got to my goal of removing the gaps was with

rangebreaks=[dict(enabled=True, pattern="day of week")]

However, this does not work well for financial candlestick charts in different timeframes (H1, H4, M15, etc ). There are still [smaller] gaps, and some candlesticks are dropped or changed.

The only thing that seems to work is to forget about the type=“date”, change my dataframe so that the timestamps are strings and then trick plotly to use string type in the xaxes.

That feels like a defeat.