Plotly Exploration

Scatter Plot

https://plotly.com/python/line-and-scatter/

import plotly.express as px
df = px.data.iris()
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species")
fig.show()

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')
df.head(3)

	Date	AAPL.Open	AAPL.High	AAPL.Low	AAPL.Close	AAPL.Volume	AAPL.Adjusted	dn	mavg	up	direction
0	2015-02-17	127.489998	128.880005	126.919998	127.830002	63152400	122.905254	106.741052	117.927667	129.114281	Increasing
1	2015-02-18	127.629997	128.779999	127.449997	128.720001	44891700	123.760965	107.842423	118.940333	130.038244	Increasing
2	2015-02-19	128.479996	129.029999	128.330002	128.449997	37362400	123.501363	108.894245	119.889167	130.884089	Decreasing

fig = go.Figure(data=go.Scatter(x=df['AAPL.Open'], y=df['AAPL.High'], mode='markers'))
fig.show()

Line Plot

https://plotly.com/python/line-and-scatter/

fig = go.Figure(data=go.Scatter(x=df['Date'], y=df['AAPL.Open'],
                                mode='lines+markers'))

fig.show()

fig = go.Figure()

# Add traces
fig.add_trace(go.Scatter(x=df['Date'], y=df['AAPL.Open'],
                         mode='lines+markers', name='Open'))
fig.add_trace(go.Scatter(x=df['Date'], y=df['AAPL.High'],
                         mode='lines+markers', name='High'))
fig.add_trace(go.Scatter(x=df['Date'], y=df['AAPL.Low'],
                         mode='lines+markers', name='Low'))
fig.add_trace(go.Scatter(x=df['Date'], y=df['AAPL.Close'],
                         mode='lines+markers', name='Close'))
fig.show()

CandleStick Plot

Wikipedia

https://plotly.com/python/candlestick-charts/

The candlestick chart is a style of financial chart describing open, high, low and close for a given x coordinate (most likely time). The boxes represent the spread between the open and close values and the lines represent the spread between the low and high values. Sample points where the close value is higher (lower) then the open value are called increasing (decreasing). By default, increasing candles are drawn in green whereas decreasing are drawn in red.

           ___
High-->     |
            |      ]--> Upper Shadow
Open-->   __|__
         |     |
         |     |
         |     |   ]--> Real Body
         |     |
Close--> |_____|
            |
            |      ]--> Lower Shadow
 Low-->    _|_

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

fig.show()

Histogram Plot

https://plotly.com/python/histograms/

fig = go.Figure(data=go.Histogram(x=df['AAPL.Open']))
fig.show()

Box Plot

https://plotly.com/python/box-plots/

fig = go.Figure(data=go.Box(x= df['direction'], y=df['AAPL.Open']))
fig.show()