plotly is a Python library which is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot and many more. It is mainly used in data analysis as well as financial analysis. plotly is an interactive visualization library.
cufflink connects plotly with pandas to create graphs and charts of dataframes directly. choropleth is used to describe geographical plotting of USA. choropleth is used in the plotting of world maps and many more.
Let’s plot different types of plots like boxplot, spreadplot, etc. using plotly and cufflinks.
Command to install plotly:
pip install plotly
Command to install cufflink:
pip install cufflink
Code #1: Show dataframe
# import all necessary libraries import pandas as pd import numpy as np % matplotlib inline from plotly import __version__ import cufflinks as cf from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot # to get the connection init_notebook_mode(connected = True) # plotly also serves online, # but we are using just a sample cf.go_offline() # creating dataframes df = pd.DataFrame(np.random.randn(100, 4), columns ='A B C D'.split()) df2 = pd.DataFrame({'Category':['A', 'B', 'C'], 'Values':[32, 43, 50]}) df2.head() |
Output:
Code #2: Normal Plot
# plotly function df.iplot() |
Output:
Code #3: Scatter Plot
# markers are made to point in the graph df.iplot(kind ='scatter', x ='A', y ='B', mode ='markers') |
Output:
Code #4: Box Plot
# boxplot df.iplot(kind ='box') |
Output:
Code #5: Plot dataframes
# creating dataframe with three axes df3 = pd.DataFrame({'x':[1, 2, 3, 4, 5], 'y':[10, 20, 30, 20, 10], 'z':[5, 4, 3, 2, 1]}) |
Output:
Code #6: Surface plot
# surface plot # colorscale:red(rd), yellow(yl), blue(bu) df3.iplot(kind ='surface', colorscale ='rdylbu') |
Output:
