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How to make Contour plots in Python with Plotly.	scientific	python	base	Contour Plots	1	example_index	python/contour-plots/	thumbnail/contour.jpg

Basic Contour Plot

A 2D contour plot shows the contour lines of a 2D numerical array z, i.e. interpolated lines of isovalues of z.

import plotly.graph_objects as go

fig = go.Figure(data =
    go.Contour(
        z=[[10, 10.625, 12.5, 15.625, 20],
           [5.625, 6.25, 8.125, 11.25, 15.625],
           [2.5, 3.125, 5., 8.125, 12.5],
           [0.625, 1.25, 3.125, 6.25, 10.625],
           [0, 0.625, 2.5, 5.625, 10]]
    ))
fig.show()

Setting X and Y Coordinates in a Contour Plot

import plotly.graph_objects as go

fig = go.Figure(data =
    go.Contour(
        z=[[10, 10.625, 12.5, 15.625, 20],
           [5.625, 6.25, 8.125, 11.25, 15.625],
           [2.5, 3.125, 5., 8.125, 12.5],
           [0.625, 1.25, 3.125, 6.25, 10.625],
           [0, 0.625, 2.5, 5.625, 10]],
        x=[-9, -6, -5 , -3, -1], # horizontal axis
        y=[0, 1, 4, 5, 7] # vertical axis
    ))
fig.show()

Colorscale for Contour Plot

import plotly.graph_objects as go

fig = go.Figure(data =
     go.Contour(
        z=[[10, 10.625, 12.5, 15.625, 20],
           [5.625, 6.25, 8.125, 11.25, 15.625],
           [2.5, 3.125, 5., 8.125, 12.5],
           [0.625, 1.25, 3.125, 6.25, 10.625],
           [0, 0.625, 2.5, 5.625, 10]],
        colorscale='Electric',
    ))
fig.show()

Customizing Size and Range of a Contour Plot's Contours

import plotly.graph_objects as go

fig = go.Figure(data =
    go.Contour(
        z=[[10, 10.625, 12.5, 15.625, 20],
           [5.625, 6.25, 8.125, 11.25, 15.625],
           [2.5, 3.125, 5., 8.125, 12.5],
           [0.625, 1.25, 3.125, 6.25, 10.625],
           [0, 0.625, 2.5, 5.625, 10]],
        colorscale='Hot',
        contours=dict(
            start=0,
            end=8,
            size=2,
        ),
    ))

fig.show()

Customizing Spacing Between X and Y Axis Ticks

import plotly.graph_objects as go

fig = go.Figure(data =
    go.Contour(
        z= [[10, 10.625, 12.5, 15.625, 20],
              [5.625, 6.25, 8.125, 11.25, 15.625],
              [2.5, 3.125, 5., 8.125, 12.5],
              [0.625, 1.25, 3.125, 6.25, 10.625],
              [0, 0.625, 2.5, 5.625, 10]],
        dx=10,
        x0=5,
        dy=10,
        y0=10,
    )
)

fig.show()

Connect the Gaps Between None Values in the Z Matrix

import plotly.graph_objs as go
from plotly.subplots import make_subplots

fig = make_subplots(rows=2, cols=2, subplot_titles=('connectgaps = False',
                                                        'connectgaps = True'))
z = [[None, None, None, 12, 13, 14, 15, 16],
     [None, 1, None, 11, None, None, None, 17],
     [None, 2, 6, 7, None, None, None, 18],
     [None, 3, None, 8, None, None, None, 19],
     [5, 4, 10, 9, None, None, None, 20],
     [None, None, None, 27, None, None, None, 21],
     [None, None, None, 26, 25, 24, 23, 22]]

fig.add_trace(go.Contour(z=z, showscale=False), 1, 1)
fig.add_trace(go.Contour(z=z, showscale=False, connectgaps=True), 1, 2)
fig.add_trace(go.Heatmap(z=z, showscale=False, zsmooth='best'), 2, 1)
fig.add_trace(go.Heatmap(z=z, showscale=False, connectgaps=True, zsmooth='best'), 2, 2)

fig['layout']['yaxis1'].update(title=dict(text='Contour map'))
fig['layout']['yaxis3'].update(title=dict(text='Heatmap'))

fig.show()

Smoothing the Contour lines

import plotly.graph_objects as go
from plotly.subplots import make_subplots
import numpy as np

z =   [[2, 4, 7, 12, 13, 14, 15, 16],
       [3, 1, 6, 11, 12, 13, 16, 17],
       [4, 2, 7, 7, 11, 14, 17, 18],
       [5, 3, 8, 8, 13, 15, 18, 19],
       [7, 4, 10, 9, 16, 18, 20, 19],
       [9, 10, 5, 27, 23, 21, 21, 21],
       [11, 14, 17, 26, 25, 24, 23, 22]]

fig = make_subplots(rows=1, cols=2,
                    subplot_titles=('Without Smoothing', 'With Smoothing'))

fig.add_trace(go.Contour(z=z, line_smoothing=0), 1, 1)
fig.add_trace(go.Contour(z=z, line_smoothing=0.85), 1, 2)

fig.show()

Smooth Contour Coloring

import plotly.graph_objects as go

fig = go.Figure(data=
    go.Contour(
        z=[[10, 10.625, 12.5, 15.625, 20],
           [5.625, 6.25, 8.125, 11.25, 15.625],
           [2.5, 3.125, 5., 8.125, 12.5],
           [0.625, 1.25, 3.125, 6.25, 10.625],
           [0, 0.625, 2.5, 5.625, 10]],
        # heatmap gradient coloring is applied between each contour level
        contours_coloring='heatmap' # can also be 'lines', or 'none'
    )
)

fig.show()

Contour Line Labels

import plotly.graph_objects as go

fig = go.Figure(data=
    go.Contour(
        z=[[10, 10.625, 12.5, 15.625, 20],
           [5.625, 6.25, 8.125, 11.25, 15.625],
           [2.5, 3.125, 5., 8.125, 12.5],
           [0.625, 1.25, 3.125, 6.25, 10.625],
           [0, 0.625, 2.5, 5.625, 10]],
        contours=dict(
            coloring ='heatmap',
            showlabels = True, # show labels on contours
            labelfont = dict( # label font properties
                size = 12,
                color = 'white',
            )
        )))

fig.show()

Contour Lines

import plotly.graph_objects as go

fig = go.Figure(data=
    go.Contour(
        z=[[10, 10.625, 12.5, 15.625, 20],
           [5.625, 6.25, 8.125, 11.25, 15.625],
           [2.5, 3.125, 5., 8.125, 12.5],
           [0.625, 1.25, 3.125, 6.25, 10.625],
           [0, 0.625, 2.5, 5.625, 10]],
        contours_coloring='lines',
        line_width=2,
    )
)

fig.show()

Custom Contour Plot Colorscale

import plotly.graph_objects as go

# Valid color strings are CSS colors, rgb or hex strings
colorscale = [[0, 'gold'], [0.5, 'mediumturquoise'], [1, 'lightsalmon']]

fig = go.Figure(data =
    go.Contour(
        z=[[10, 10.625, 12.5, 15.625, 20],
           [5.625, 6.25, 8.125, 11.25, 15.625],
           [2.5, 3.125, 5., 8.125, 12.5],
           [0.625, 1.25, 3.125, 6.25, 10.625],
           [0, 0.625, 2.5, 5.625, 10]],
        colorscale=colorscale)
)

fig.show()

Color Bar Title

import plotly.graph_objects as go

fig = go.Figure(data=
    go.Contour(
        z=[[10, 10.625, 12.5, 15.625, 20],
           [5.625, 6.25, 8.125, 11.25, 15.625],
           [2.5, 3.125, 5., 8.125, 12.5],
           [0.625, 1.25, 3.125, 6.25, 10.625],
           [0, 0.625, 2.5, 5.625, 10]],
        colorbar=dict(
            title=dict(
                text='Color bar title', # title here
                side='right',
                font=dict(
                    size=14,
                    family='Arial, sans-serif')
                )
            ),
        ))

fig.show()

Color Bar Size for Contour Plots

In the example below, both the thickness (given here in pixels) and the length (given here as a fraction of the plot height) are set.

import plotly.graph_objects as go

fig = go.Figure(data=
    go.Contour(
        z=[[10, 10.625, 12.5, 15.625, 20],
           [5.625, 6.25, 8.125, 11.25, 15.625],
           [2.5, 3.125, 5., 8.125, 12.5],
           [0.625, 1.25, 3.125, 6.25, 10.625],
           [0, 0.625, 2.5, 5.625, 10]],
        colorbar=dict(
            thickness=25,
            thicknessmode='pixels',
            len=0.6,
            lenmode='fraction',
            outlinewidth=0
        )
    ))

fig.show()

Styling Color Bar Ticks for Contour Plots

import plotly.graph_objects as go

fig = go.Figure(data =
         go.Contour(
           z=[[10, 10.625, 12.5, 15.625, 20],
              [5.625, 6.25, 8.125, 11.25, 15.625],
              [2.5, 3.125, 5., 8.125, 12.5],
              [0.625, 1.25, 3.125, 6.25, 10.625],
              [0, 0.625, 2.5, 5.625, 10]],
           colorbar=dict(nticks=10, ticks='outside',
                         ticklen=5, tickwidth=1,
                         showticklabels=True,
                         tickangle=0, tickfont_size=12)
            ))

fig.show()

Reference

See https://plotly.com/python/reference/contour/ for more information and chart attribute options!

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Basic Contour Plot

Setting X and Y Coordinates in a Contour Plot

Colorscale for Contour Plot

Customizing Size and Range of a Contour Plot's Contours

Customizing Spacing Between X and Y Axis Ticks

Connect the Gaps Between None Values in the Z Matrix

Smoothing the Contour lines

Smooth Contour Coloring

Contour Line Labels

Contour Lines

Custom Contour Plot Colorscale

Color Bar Title

Color Bar Size for Contour Plots

Styling Color Bar Ticks for Contour Plots

Reference

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Basic Contour Plot

Setting X and Y Coordinates in a Contour Plot

Colorscale for Contour Plot

Customizing Size and Range of a Contour Plot's Contours

Customizing Spacing Between X and Y Axis Ticks

Connect the Gaps Between None Values in the Z Matrix

Smoothing the Contour lines

Smooth Contour Coloring

Contour Line Labels

Contour Lines

Custom Contour Plot Colorscale

Color Bar Title

Color Bar Size for Contour Plots

Styling Color Bar Ticks for Contour Plots

Reference

Pfad - The Proxy pFad © 2024 Your Company Name. All rights reserved.