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Plotly's Python library is free and open source! Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode, or in jupyter notebooks.
We also have a quick-reference cheatsheet (new!) to help you get started!
The tutorial below imports NumPy, Pandas, SciPy and Plotly.
import plotly.plotly as py
import plotly.graph_objs as go
import plotly.figure_factory as ff
import numpy as np
import pandas as pd
import scipy
from scipy import signalLet us import some stock data to apply convolution on.
stock_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/stockdata.csv')
df = stock_data[0:15]
table = ff.create_table(df)
py.iplot(table, filename='stockdata-peak-fitting')Convolution is a type of transform that takes two functions f and g and produces another function via an integration. In particular, the convolution
We can use convolution in the discrete case between two n-dimensional arrays.
sample = range(15)
saw = signal.sawtooth(t=sample)
data_sample = list(stock_data['SBUX'][0:100])
data_sample2 = list(stock_data['AAPL'][0:100])
x = list(range(len(data_sample)))
y_convolve = signal.convolve(saw, data_sample2)
x_convolve = list(range(len(y_convolve)))
trace1 = go.Scatter(
x = x,
y = data_sample,
mode = 'lines',
name = 'SBUX'
)
trace2 = go.Scatter(
x = x,
y = data_sample2,
mode = 'lines',
name = 'AAPL'
)
trace3 = go.Scatter(
x = x_convolve,
y = y_convolve,
mode = 'lines',
name = 'Convolution'
)
data = [trace1, trace2, trace3]
py.iplot(data, filename='convolution-of-two-signals')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(
'python-Convolution.ipynb', 'python/convolution/', 'Convolution | plotly',
'Learn how to perform convolution between two signals in Python.',
title='Convolution in Python | plotly',
name='Convolution',
language='python',
page_type='example_index', has_thumbnail='false', display_as='signal-analysis', order=4)