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Merged
merged 6 commits into from
Jun 28, 2019
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[MRG] Ohlc #24

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1430887
first pass on violin notebook
emmanuelle Jun 21, 2019
19d1798
added linkto statistical charts page
emmanuelle Jun 21, 2019
4726a4e
ohlc notebook
emmanuelle Jun 21, 2019
6995e14
Revert "added linkto statistical charts page"
emmanuelle Jun 21, 2019
56b25ba
Revert "first pass on violin notebook"
emmanuelle Jun 21, 2019
d60dd02
Merge branch 'master' into ohlc
emmanuelle Jun 26, 2019
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168 changes: 53 additions & 115 deletions notebooks/ohlc-charts.md
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Original file line number Diff line number Diff line change
Expand Up @@ -24,133 +24,98 @@ jupyter:
page_type: example_index
permalink: python/ohlc-charts/
thumbnail: thumbnail/ohlc.jpg
v4upgrade: true

---

#### New to Plotly?
Plotly's Python library is free and open source! [Get started](https://plot.ly/python/getting-started/) by downloading the client and [reading the primer](https://plot.ly/python/getting-started/).
<br>You can set up Plotly to work in [online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or [offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).
<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!
#### Version Check
Plotly's Python API is updated frequently. Run `pip install plotly --upgrade` to update your Plotly version.
The [OHLC](https://en.wikipedia.org/wiki/Open-high-low-close_chart) chart (for open, high, low and close) is a style of financial chart describing open, high, low and close values for a given `x` coordinate (most likely time). The tip of the lines represent the `low` and `high` values and the horizontal segments represent the `open` and `close` values. Sample points where the close value is higher (lower) then the open value are called increasing (decreasing). By default, increasing items are drawn in green whereas decreasing are drawn in red.

```python
import plotly
plotly.__version__
```
See also [Candlestick Charts](https://plot.ly/python/candlestick-charts/) and [other financial charts](https://plot.ly/python/#financial-charts).

##### Simple OHLC Chart with Pandas
#### Simple OHLC Chart with Pandas

```python
import plotly.plotly as py
import plotly.graph_objs as go

import plotly.graph_objects as go
import pandas as pd
from datetime import datetime

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')

trace = go.Ohlc(x=df['Date'],
open=df['AAPL.Open'],
high=df['AAPL.High'],
low=df['AAPL.Low'],
close=df['AAPL.Close'])
data = [trace]
py.iplot(data, filename='simple_ohlc')
fig = go.Figure(data=go.Ohlc(x=df['Date'],
open=df['AAPL.Open'],
high=df['AAPL.High'],
low=df['AAPL.Low'],
close=df['AAPL.Close']))
fig.show()
```

##### OHLC Chart without Rangeslider
#### OHLC Chart without Rangeslider

```python
import plotly.plotly as py
import plotly.graph_objs as go
import plotly.graph_objects as go

import pandas as pd
from datetime import datetime


df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')

trace = go.Ohlc(x=df['Date'],
fig = go.Figure(data=go.Ohlc(x=df['Date'],
open=df['AAPL.Open'],
high=df['AAPL.High'],
low=df['AAPL.Low'],
close=df['AAPL.Close'])

layout = go.Layout(
xaxis = dict(
rangeslider = dict(
visible = False
)
)
)

data = [trace]

fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='OHLC without Rangeslider')
close=df['AAPL.Close']))
fig.update(layout_xaxis_rangeslider_visible=False)
fig.show()
```

#### Adding Customized Text and Annotations

```python
import plotly.plotly as py
import plotly.graph_objs as go

from datetime import datetime
import plotly.graph_objects as go
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')

trace = go.Ohlc(x=df['Date'],
fig = go.Figure(data=go.Ohlc(x=df['Date'],
open=df['AAPL.Open'],
high=df['AAPL.High'],
low=df['AAPL.Low'],
close=df['AAPL.Close'])
data = [trace]
layout = {
'title': 'The Great Recession',
'yaxis': {'title': 'AAPL Stock'},
'shapes': [{
'x0': '2016-12-09', 'x1': '2016-12-09',
'y0': 0, 'y1': 1, 'xref': 'x', 'yref': 'paper',
'line': {'color': 'rgb(30,30,30)', 'width': 1}
}],
'annotations': [{
'x': '2016-12-09', 'y': 0.05, 'xref': 'x', 'yref': 'paper',
'showarrow': False, 'xanchor': 'left',
'text': 'Increase Period Begins'
}]
}
fig = dict(data=data, layout=layout)
py.iplot(fig, filename='aapl-recession-ohlc')
close=df['AAPL.Close']))

fig.update_layout(
title='The Great Recession',
yaxis_title='AAPL Stock',
shapes = [dict(
x0='2016-12-09', x1='2016-12-09', y0=0, y1=1, xref='x', yref='paper',
line_width=2)],
annotations=[dict(
x='2016-12-09', y=0.05, xref='x', yref='paper',
showarrow=False, xanchor='left', text='Increase Period Begins')]
)

fig.show()
```

#### Custom OHLC Colors

```python
import plotly.plotly as py
import plotly.graph_objs as go

import plotly.graph_objects as go
import pandas as pd
from datetime import datetime

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')

trace = go.Ohlc(x=df['Date'],
open=df['AAPL.Open'],
high=df['AAPL.High'],
low=df['AAPL.Low'],
close=df['AAPL.Close'],
increasing=dict(line=dict(color= '#17BECF')),
decreasing=dict(line=dict(color= '#7F7F7F')))
data = [trace]
py.iplot(data, filename='styled_ohlc')
fig = go.Figure(data=[go.Ohlc(
x=df['Date'],
open=df['AAPL.Open'], high=df['AAPL.High'],
low=df['AAPL.Low'], close=df['AAPL.Close'],
increasing_line_color= 'cyan', decreasing_line_color= 'gray'
)])
fig.show()
```

##### Simple OHLC with `datetime` Objects
#### Simple OHLC with `datetime` Objects

```python
import plotly.plotly as py
import plotly.graph_objs as go
import plotly.graph_objects as go

from datetime import datetime

Expand All @@ -164,20 +129,16 @@ dates = [datetime(year=2013, month=10, day=10),
datetime(year=2014, month=1, day=10),
datetime(year=2014, month=2, day=10)]

trace = go.Ohlc(x=dates,
open=open_data,
high=high_data,
low=low_data,
close=close_data)
data = [trace]
py.iplot(data, filename='ohlc_datetime')
fig = go.Figure(data=[go.Ohlc(x=dates,
open=open_data, high=high_data,
low=low_data, close=close_data)])
fig.show()
```

### Custom Hovertext

```python
import plotly.plotly as py
import plotly.graph_objs as go
import plotly.graph_objects as go

import pandas as pd
from datetime import datetime
Expand All @@ -188,38 +149,15 @@ for i in range(len(df['AAPL.Open'])):

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')

trace = go.Ohlc(x=df['Date'],
fig = go.Figure(data=go.Ohlc(x=df['Date'],
open=df['AAPL.Open'],
high=df['AAPL.High'],
low=df['AAPL.Low'],
close=df['AAPL.Close'],
text=hovertext,
hoverinfo='text')
data = [trace]
py.iplot(data, filename='ohlc_custom_hover')
hoverinfo='text'))
fig.show()
```

#### Reference
For more information on candlestick attributes, see: https://plot.ly/python/reference/#ohlc

```python
from IPython.display import display, HTML

display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))

!pip install git+https://github.com/plotly/publisher.git --upgrade
import publisher
publisher.publish(
'ohlc-charts.ipynb', 'python/ohlc-charts/', 'Python OHLC Charts | plotly',
'How to make interactive OHLC charts in Python with Plotly. '
'Six examples of OHLC charts with Pandas, time series, and yahoo finance data.',
name = 'OHLC Charts',
thumbnail='thumbnail/ohlc.jpg', language='python',
page_type='example_index', has_thumbnail='true', display_as='financial', order=1,
ipynb= '~notebook_demo/53')
```

```python

```