Tables in Python

How to make tables in Python with Plotly.


New to Plotly?

Plotly is a free and open-source graphing library for Python. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

go.Table provides a Table object for detailed data viewing. The data are arranged in a grid of rows and columns. Most styling can be specified for header, columns, rows or individual cells. Table is using a column-major order, ie. the grid is represented as a vector of column vectors.

Note that Dash provides a different type of DataTable.

Basic Table

In [1]:
import plotly.graph_objects as go

fig = go.Figure(data=[go.Table(header=dict(values=['A Scores', 'B Scores']),
                 cells=dict(values=[[100, 90, 80, 90], [95, 85, 75, 95]]))
                     ])
fig.show()

Styled Table

In [2]:
import plotly.graph_objects as go

fig = go.Figure(data=[go.Table(
    header=dict(values=['A Scores', 'B Scores'],
                line_color='darkslategray',
                fill_color='lightskyblue',
                align='left'),
    cells=dict(values=[[100, 90, 80, 90], # 1st column
                       [95, 85, 75, 95]], # 2nd column
               line_color='darkslategray',
               fill_color='lightcyan',
               align='left'))
])

fig.update_layout(width=500, height=300)
fig.show()

Use a Pandas Dataframe

In [3]:
import plotly.graph_objects as go
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_usa_states.csv')

fig = go.Figure(data=[go.Table(
    header=dict(values=list(df.columns),
                fill_color='paleturquoise',
                align='left'),
    cells=dict(values=[df.Rank, df.State, df.Postal, df.Population],
               fill_color='lavender',
               align='left'))
])

fig.show()

Changing Row and Column Size

In [4]:
import plotly.graph_objects as go

values = [['Salaries', 'Office', 'Merchandise', 'Legal', '<b>TOTAL<br>EXPENSES</b>'], #1st col
  ["Lorem ipsum dolor sit amet, tollit discere inermis pri ut. Eos ea iusto timeam, an prima laboramus vim. Id usu aeterno adversarium, summo mollis timeam vel ad",
  "Lorem ipsum dolor sit amet, tollit discere inermis pri ut. Eos ea iusto timeam, an prima laboramus vim. Id usu aeterno adversarium, summo mollis timeam vel ad",
  "Lorem ipsum dolor sit amet, tollit discere inermis pri ut. Eos ea iusto timeam, an prima laboramus vim. Id usu aeterno adversarium, summo mollis timeam vel ad",
  "Lorem ipsum dolor sit amet, tollit discere inermis pri ut. Eos ea iusto timeam, an prima laboramus vim. Id usu aeterno adversarium, summo mollis timeam vel ad",
  "Lorem ipsum dolor sit amet, tollit discere inermis pri ut. Eos ea iusto timeam, an prima laboramus vim. Id usu aeterno adversarium, summo mollis timeam vel ad"]]


fig = go.Figure(data=[go.Table(
  columnorder = [1,2],
  columnwidth = [80,400],
  header = dict(
    values = [['<b>EXPENSES</b><br>as of July 2017'],
                  ['<b>DESCRIPTION</b>']],
    line_color='darkslategray',
    fill_color='royalblue',
    align=['left','center'],
    font=dict(color='white', size=12),
    height=40
  ),
  cells=dict(
    values=values,
    line_color='darkslategray',
    fill=dict(color=['paleturquoise', 'white']),
    align=['left', 'center'],
    font_size=12,
    height=30)
    )
])
fig.show()

Alternating Row Colors

In [5]:
import plotly.graph_objects as go

headerColor = 'grey'
rowEvenColor = 'lightgrey'
rowOddColor = 'white'

fig = go.Figure(data=[go.Table(
  header=dict(
    values=['<b>EXPENSES</b>','<b>Q1</b>','<b>Q2</b>','<b>Q3</b>','<b>Q4</b>'],
    line_color='darkslategray',
    fill_color=headerColor,
    align=['left','center'],
    font=dict(color='white', size=12)
  ),
  cells=dict(
    values=[
      ['Salaries', 'Office', 'Merchandise', 'Legal', '<b>TOTAL</b>'],
      [1200000, 20000, 80000, 2000, 12120000],
      [1300000, 20000, 70000, 2000, 130902000],
      [1300000, 20000, 120000, 2000, 131222000],
      [1400000, 20000, 90000, 2000, 14102000]],
    line_color='darkslategray',
    # 2-D list of colors for alternating rows
    fill_color = [[rowOddColor,rowEvenColor,rowOddColor, rowEvenColor,rowOddColor]*5],
    align = ['left', 'center'],
    font = dict(color = 'darkslategray', size = 11)
    ))
])

fig.show()

Row Color Based on Variable

In [6]:
import plotly.graph_objects as go

import pandas as pd

colors = ['rgb(239, 243, 255)', 'rgb(189, 215, 231)', 'rgb(107, 174, 214)',
          'rgb(49, 130, 189)', 'rgb(8, 81, 156)']
data = {'Year' : [2010, 2011, 2012, 2013, 2014], 'Color' : colors}
df = pd.DataFrame(data)

fig = go.Figure(data=[go.Table(
  header=dict(
    values=["Color", "<b>YEAR</b>"],
    line_color='white', fill_color='white',
    align='center', font=dict(color='black', size=12)
  ),
  cells=dict(
    values=[df.Color, df.Year],
    line_color=[df.Color], fill_color=[df.Color],
    align='center', font=dict(color='black', size=11)
  ))
])

fig.show()

Cell Color Based on Variable

In [7]:
import plotly.graph_objects as go
from plotly.colors import n_colors
import numpy as np
np.random.seed(1)

colors = n_colors('rgb(255, 200, 200)', 'rgb(200, 0, 0)', 9, colortype='rgb')
a = np.random.randint(low=0, high=9, size=10)
b = np.random.randint(low=0, high=9, size=10)
c = np.random.randint(low=0, high=9, size=10)

fig = go.Figure(data=[go.Table(
  header=dict(
    values=['<b>Column A</b>', '<b>Column B</b>', '<b>Column C</b>'],
    line_color='white', fill_color='white',
    align='center',font=dict(color='black', size=12)
  ),
  cells=dict(
    values=[a, b, c],
    line_color=[np.array(colors)[a],np.array(colors)[b], np.array(colors)[c]],
    fill_color=[np.array(colors)[a],np.array(colors)[b], np.array(colors)[c]],
    align='center', font=dict(color='white', size=11)
    ))
])

fig.show()

Reference

For more information on tables and table attributes see: https://plotly.com/python/reference/#table.

What About Dash?

Dash is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash at https://dash.plot.ly/installation.

Everywhere in this page that you see fig.show(), you can display the same figure in a Dash application by passing it to the figure argument of the Graph component from the built-in dash_core_components package like this:

import plotly.graph_objects as go # or plotly.express as px
fig = go.Figure() # or any Plotly Express function e.g. px.bar(...)
# fig.add_trace( ... )
# fig.update_layout( ... )

import dash
import dash_core_components as dcc
import dash_html_components as html

app = dash.Dash()
app.layout = html.Div([
    dcc.Graph(figure=fig)
])

app.run_server(debug=True, use_reloader=False)  # Turn off reloader if inside Jupyter