如何在 Plotly-Python 中获取所有色阶的名称？
在本文中，我们将学习如何在Python的 plotly express 中隐藏颜色条和图例。颜色条是从浅到深或相反的渐变。它们非常适合可视化从低到高的数据集，例如收入、温度或年龄。
逐步实施
第1步：
导入所有需要的包。
Python3
# import the modules
import inspect
import plotly.express as px
from textwrap import fillPython3
# iterating over color module
colorscale_names = []
colors_modules = ['carto', 'colorbrewer', 'cmocean', 'cyclical',
'diverging', 'plotlyjs', 'qualitative', 'sequential']
for color_module in colors_modules:
colorscale_names.extend([name for name, body
in inspect.getmembers(getattr(px.colors, color_module))
if isinstance(body, list)])Python3
# import the modules
import inspect
import plotly.express as px
from textwrap import fill
# iterating over color module
colorscale_names = []
colors_modules = ['carto', 'cmocean', 'cyclical',
'diverging', 'plotlyjs', 'qualitative', 'sequential']
for color_module in colors_modules:
colorscale_names.extend([name for name, body
in inspect.getmembers(getattr(px.colors, color_module))
if isinstance(body, list)])
print(fill(''.join(sorted({f'{x: <{15}}' for x in colorscale_names})), 75))Python3
import plotly.graph_objects as go
import numpy as np
fig = go.Figure(data=go.Scatter(
y=np.random.randn(500),
mode='markers',
marker=dict(
size=8,
color=np.random.randn(550), # set color equal to a variable
colorscale='Agsunset', # one of plotly colorscales
showscale=True
)
))
fig.update_layout(
margin=dict(l=12, r=5, t=20, b=20),
paper_bgcolor="LightSteelBlue",
)
fig.show()Python3
import plotly.graph_objects as go
import numpy as np
fig = go.Figure(data=go.Scatter(
y=np.random.randn(500),
mode='markers',
marker=dict(
size=8,
color=np.random.randn(550), # set color equal to a variable
colorscale='Agsunset_r', # reverse Agsunset colorscales
showscale=True
)
))
fig.update_layout(
margin=dict(l=12, r=5, t=20, b=20),
paper_bgcolor="LightSteelBlue",
)
fig.show()第2步：
在这里，我们将在迭代颜色模块时使用检查模块获取所有单独的色阶名称。
Python3
# iterating over color module
colorscale_names = []
colors_modules = ['carto', 'colorbrewer', 'cmocean', 'cyclical',
'diverging', 'plotlyjs', 'qualitative', 'sequential']
for color_module in colors_modules:
colorscale_names.extend([name for name, body
in inspect.getmembers(getattr(px.colors, color_module))
if isinstance(body, list)])
完整代码：
Python3
# import the modules
import inspect
import plotly.express as px
from textwrap import fill
# iterating over color module
colorscale_names = []
colors_modules = ['carto', 'cmocean', 'cyclical',
'diverging', 'plotlyjs', 'qualitative', 'sequential']
for color_module in colors_modules:
colorscale_names.extend([name for name, body
in inspect.getmembers(getattr(px.colors, color_module))
if isinstance(body, list)])
print(fill(''.join(sorted({f'{x: <{15}}' for x in colorscale_names})), 75))
输出：
Aggrnyl和 Aggrnyl _r之间的区别在于它将显示相反的比例，即 Aggrnyl（从浅到深） Aggrnyl_r（从深到浅）。在下面的示例中更清楚地理解它。
注意：由于版本控制，某些色阶名称可能不起作用。
Aggrnyl Aggrnyl_r Agsunset Agsunset_r Alphabet
Alphabet_r Antique Antique_r Armyrose Armyrose_r
Blackbody Blackbody_r Bluered Bluered_r Blues
Blues_r Blugrn Blugrn_r Bluyl Bluyl_r
Bold Bold_r BrBG BrBG_r Brwnyl
Brwnyl_r BuGn BuGn_r BuPu BuPu_r
Burg Burg_r Burgyl Burgyl_r Cividis
Cividis_r D3 D3_r Dark2 Dark24
Dark24_r Dark2_r Darkmint Darkmint_r Earth
Earth_r Edge Edge_r Electric Electric_r
Emrld Emrld_r Fall Fall_r G10
G10_r Geyser Geyser_r GnBu GnBu_r
Greens Greens_r Greys Greys_r HSV
HSV_r Hot Hot_r IceFire IceFire_r
Inferno Inferno_r Jet Jet_r Light24
Light24_r Magenta Magenta_r Magma Magma_r
Mint Mint_r OrRd OrRd_r Oranges
Oranges_r Oryel Oryel_r PRGn PRGn_r
Pastel Pastel1 Pastel1_r Pastel2 Pastel2_r
Pastel_r Peach Peach_r Phase Phase_r
PiYG PiYG_r Picnic Picnic_r Pinkyl
Pinkyl_r Plasma Plasma_r Plotly Plotly3
Plotly3_r Plotly_r Portland Portland_r Prism
Prism_r PuBu PuBuGn PuBuGn_r PuBu_r
PuOr PuOr_r PuRd PuRd_r Purp
Purp_r Purples Purples_r Purpor Purpor_r
Rainbow Rainbow_r RdBu RdBu_r RdGy
RdGy_r RdPu RdPu_r RdYlBu RdYlBu_r
RdYlGn RdYlGn_r Redor Redor_r Reds
Reds_r Safe Safe_r Set1 Set1_r
Set2 Set2_r Set3 Set3_r Spectral
Spectral_r Sunset Sunset_r Sunsetdark Sunsetdark_r
T10 T10_r Teal Teal_r Tealgrn
Tealgrn_r Tealrose Tealrose_r Temps Temps_r
Tropic Tropic_r Turbo Turbo_r Twilight
Twilight_r Viridis Viridis_r Vivid Vivid_r
YlGn YlGnBu YlGnBu_r YlGn_r YlOrBr
YlOrBr_r YlOrRd YlOrRd_r __all__ _cols
algae algae_r amp amp_r balance
balance_r curl curl_r deep deep_r
delta delta_r dense dense_r gray
gray_r haline haline_r ice ice_r
matter matter_r mrybm mrybm_r mygbm
mygbm_r oxy oxy_r phase phase_r
scale_pairs scale_pairs_r scale_sequence scale_sequence_rsolar
solar_r speed speed_r tempo tempo_r
thermal thermal_r turbid turbid_r示例 1：
在这个例子中，我们在 Plotly Express 中选择 color-scale 作为colorscale = “Agsunset” ，这将从内置的 plotly 库中选择 Aggrnyl colorscale。
Python3
import plotly.graph_objects as go
import numpy as np
fig = go.Figure(data=go.Scatter(
y=np.random.randn(500),
mode='markers',
marker=dict(
size=8,
color=np.random.randn(550), # set color equal to a variable
colorscale='Agsunset', # one of plotly colorscales
showscale=True
)
))
fig.update_layout(
margin=dict(l=12, r=5, t=20, b=20),
paper_bgcolor="LightSteelBlue",
)
fig.show()
输出：
示例 2：
在这个例子中，我们在 Plotly Express 中选择 color-scale 为colorscale = “Agsunset_r”（ r 代表 reverse ） ，这将从内置的 plotly 库中选择reverse Aggrnyl_r colorscale。两者之间的唯一区别是它将显示相反的比例，即 Aggrnyl_r（从暗到亮）和 Aggrnyl（从亮到暗）。
Python3
import plotly.graph_objects as go
import numpy as np
fig = go.Figure(data=go.Scatter(
y=np.random.randn(500),
mode='markers',
marker=dict(
size=8,
color=np.random.randn(550), # set color equal to a variable
colorscale='Agsunset_r', # reverse Agsunset colorscales
showscale=True
)
))
fig.update_layout(
margin=dict(l=12, r=5, t=20, b=20),
paper_bgcolor="LightSteelBlue",
)
fig.show()
输出：
