Plotly：如何使用 plotly express 为多条迹线设置标记符号形状？

Question

我一直在尝试更改 plotly 散点图中的标记形状，但似乎找不到正确的选项。 plotly 文件超过了大小和不透明度，但没有超过标记的形状。这是我的示例代码-


import pandas as pd
import plotly.express as px

d = {'Date': ['01/01/1990','01/01/1990','01/01/1990','01/01/1990',
             '01/01/2000','01/01/2000','01/01/2000','01/01/2000',
             '01/01/2010','01/01/2010','01/01/2010','01/01/2010',
             '01/01/2020','01/01/2020','01/01/2020','01/01/2020'
             ]}
df = pd.DataFrame(data=d)

df['Metric1']=[100, 110, 120, 130,
 200, 210, 220, 230,
 300, 310, 320, 330,
 400, 410, 420, 430]
df['Marker']=[1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4]
df['Color']=['a', 'b', 'c', 'd',
 'a', 'b', 'c', 'd',
 'a', 'b', 'c', 'd',
 'a', 'b', 'c', 'd']
fig = px.scatter(df, x='Date', y='Metric1', color = 'Color', hover_data = ["Color", "Marker"])
fig.show()

是否有可能实现我尝试使用 Plotly 散点图所做的事情？我尝试按照本论坛中的讨论进行操作- https://community.plotly.com/t/getting-different-markers-shapes/9944 但我很难将它与我的问题联系起来我正在使用 Python 3.8 和 Plotly 4.11.0

Answer 1

我想通了-

import plotly.graph_objects as go
from plotly.validators.scatter.marker import SymbolValidator
import plotly.offline as pyo
vals = SymbolValidator().values
def Setcolor (x):
    if x == "a":
        return "blue"
    elif x == "b":
        return "orange"
    elif x == "c":
        return "green"
    else:
        return "brown"

def Setshape (x):
        vals = SymbolValidator().values
        return vals[3*x]
plot1 = go.Scatter(
                    x=df['Date'], y=df['Metric1'], 
                    marker = dict(color=list(map(Setcolor, df['Color'])), symbol = list(map(Setshape, df['Marker']))),
                    mode='markers',name='Show1', showlegend = True
                   )

fig = go.Figure(data=[plot1])

pyo.plot(fig,filename='final_plot.html')

现在我的情节没有显示图例。我很确定这是一个简单的修复，但无法弄清楚我遗漏了什么！

Answer 2

答案：

fig = px.scatter(df, x='Date', y='Metric1',
                 color = 'Color', hover_data = ["Color", "Marker"],
                 symbol = df['Marker'],
                 symbol_sequence= ['circle-open', 'circle', 'circle-open-dot', 'square'],
                 color_discrete_sequence = ['blue', 'orange', 'green', 'brown'])

一些细节：

使用 plotly express，您只需指定：

symbol = df['Marker']
# or simply symbol = 'Marker' if df is specified in px.scatter

...其中 marker 不是标记 type 而是一个将数据类别彼此分开的值。很像你的例子：

这会给你：

如果您对指定的符号不满意，可以通过以下方式分配您自己的符号：

symbols = ['square', 'circle-dot', 'circle', 'circle-open']
fig.px.scatter([...], symbol_sequence = symbols)

您可能已经知道可以在 plotly.com/python/marker-style/ 上找到完整的交易品种列表。要复制您的原始图形，仅通过完整的图例进行改进，分配您选择的颜色所需要做的就是：

colors = ['blue', 'orange', 'green', 'brown']
px.scatter([...], color_discrete_sequence = colors)

剧情：

完整代码：

import pandas as pd
import plotly.express as px

d = {'Date': ['01/01/1990','01/01/1990','01/01/1990','01/01/1990',
             '01/01/2000','01/01/2000','01/01/2000','01/01/2000',
             '01/01/2010','01/01/2010','01/01/2010','01/01/2010',
             '01/01/2020','01/01/2020','01/01/2020','01/01/2020'
             ]}
df = pd.DataFrame(data=d)

df['Metric1']=[100, 110, 120, 130,
                 200, 210, 220, 230,
                 300, 310, 320, 330,
                 400, 410, 420, 430]
df['Marker']=[1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4]
df['Color']=['a', 'b', 'c', 'd',
             'a', 'b', 'c', 'd',
             'a', 'b', 'c', 'd',
             'a', 'b', 'c', 'd']

symbols = ['circle-open', 'circle', 'circle-open-dot', 'square']
colors = ['blue', 'orange', 'green', 'brown']

fig = px.scatter(df, x='Date', y='Metric1', color = 'Color', hover_data = ["Color", "Marker"],
                 symbol = df['Marker'],
                 symbol_sequence=symbols,
                 color_discrete_sequence = colors
                )
fig.show()

Plotly：如何使用 plotly express 为多条迹线设置标记符号形状？

Plotly: How to set marker symbol shapes for multiple traces using plotly express?

python

plotly

plotly-python

答案：

一些细节：

剧情：

完整代码：