import plotly
plotly.__version__

import plotly.plotly as py
import plotly.graph_objs as go

# Create random data with numpy
import numpy as np

N = 1000
random_x = np.random.randn(N)
random_y = np.random.randn(N)

# Create a trace
trace = go.Scatter(
    x = random_x,
    y = random_y,
    mode = 'markers'
)

data = [trace]

# Plot and embed in ipython notebook!
py.iplot(data, filename='basic-scatter')

# or plot with: plot_url = py.plot(data, filename='basic-line')

import plotly.plotly as py
import plotly.graph_objs as go

# Create random data with numpy
import numpy as np

N = 100
random_x = np.linspace(0, 1, N)
random_y0 = np.random.randn(N)+5
random_y1 = np.random.randn(N)
random_y2 = np.random.randn(N)-5

# Create traces
trace0 = go.Scatter(
    x = random_x,
    y = random_y0,
    mode = 'markers',
    name = 'markers'
)
trace1 = go.Scatter(
    x = random_x,
    y = random_y1,
    mode = 'lines+markers',
    name = 'lines+markers'
)
trace2 = go.Scatter(
    x = random_x,
    y = random_y2,
    mode = 'lines',
    name = 'lines'
)

data = [trace0, trace1, trace2]
py.iplot(data, filename='scatter-mode')

import plotly.plotly as py
import plotly.graph_objs as go

import numpy as np

N = 500

trace0 = go.Scatter(
    x = np.random.randn(N),
    y = np.random.randn(N)+2,
    name = 'Above',
    mode = 'markers',
    marker = dict(
        size = 10,
        color = 'rgba(152, 0, 0, .8)',
        line = dict(
            width = 2,
            color = 'rgb(0, 0, 0)'
        )
    )
)

trace1 = go.Scatter(
    x = np.random.randn(N),
    y = np.random.randn(N)-2,
    name = 'Below',
    mode = 'markers',
    marker = dict(
        size = 10,
        color = 'rgba(255, 182, 193, .9)',
        line = dict(
            width = 2,
        )
    )
)

data = [trace0, trace1]

layout = dict(title = 'Styled Scatter',
              yaxis = dict(zeroline = False),
              xaxis = dict(zeroline = False)
             )

fig = dict(data=data, layout=layout)
py.iplot(fig, filename='styled-scatter')

import plotly.plotly as py
import plotly.graph_objs as go
import random
import numpy as np
import pandas as pd

l= []
y= []
data= pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/2014_usa_states.csv")
# Setting colors for plot.
N= 53
c= ['hsl('+str(h)+',50%'+',50%)' for h in np.linspace(0, 360, N)]

for i in range(int(N)):
    y.append((2000+i))
    trace0= go.Scatter(
        x= data['Rank'],
        y= data['Population']+(i*1000000),
        mode= 'markers',
        marker= dict(size= 14,
                    line= dict(width=1),
                    color= c[i],
                    opacity= 0.3
                   ),name= y[i],
        text= data['State']) # The hover text goes here... 
    l.append(trace0);

layout= go.Layout(
    title= 'Stats of USA States',
    hovermode= 'closest',
    xaxis= dict(
        title= 'Population',
        ticklen= 5,
        zeroline= False,
        gridwidth= 2,
    ),
    yaxis=dict(
        title= 'Rank',
        ticklen= 5,
        gridwidth= 2,
    ),
    showlegend= False
)
fig= go.Figure(data=l, layout=layout)
py.iplot(fig)

import plotly.graph_objs as go
import plotly.plotly as py

import numpy as np

trace1 = go.Scatter(
    y = np.random.randn(500),
    mode='markers',
    marker=dict(
        size=16,
        color = np.random.randn(500), #set color equal to a variable
        colorscale='Viridis',
        showscale=True
    )
)
data = [trace1]

py.iplot(data, filename='scatter-plot-with-colorscale')

import plotly.plotly as py
import plotly.graph_objs as go
import numpy as np

N = 100000
trace = go.Scattergl(
    x = np.random.randn(N),
    y = np.random.randn(N),
    mode = 'markers',
    marker = dict(
        color = '#FFBAD2',
        line = dict(width = 1)
    )
)
data = [trace]
py.iplot(data, filename='compare_webgl')

from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-linescatterplot/", width="100%",height="750px", frameBorder="0")

from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-linescatterplot/code", width="100%",height=500, frameBorder="0")

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(
    'scatter.ipynb', 'python/line-and-scatter/', 'Python Scatter Plots | plotly',
    'How to make scatter plots in Python with Plotly.',
    title = 'Python Scatter Plots | plotly',
    name = 'Scatter Plots',
    has_thumbnail='true', thumbnail='thumbnail/line-and-scatter.jpg', 
    language='python', page_type='example_index',
    display_as='basic', order=2,
    redirect_from='python/line-and-scatter-plots-tutorial/',
    ipynb= '~notebook_demo/2')