python - Python Plotly 子图轴前缀

Question

我希望货币符号作为绘图子图中 x 轴的前缀，这些命令很好，因为它可以在其他地方使用，但是当它与子图函数集成时它似乎会发挥作用。

import pandas as pd
import numpy as np
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import random

x = np.array(["France", "Spain", "Italy", "Chile"])

df = pd.DataFrame({"country": np.repeat(x, [10,10,10,10]).tolist(),
                       "rating": random.sample(range(0,100),40),
                      "price": random.sample(range(100,1000),40)})

scatter = make_subplots(rows = 2, cols = 2, shared_yaxes = True, shared_xaxes = True,
                        
                   subplot_titles = ("France", "Spain", "Italy", "Chile"),
                        x_title = "Price", y_title = "Rating"
                   )

scatter.add_trace(go.Scatter(x = df.loc[df["country"]=="France", "price"],
                            y = df.loc[df["country"]=="France", "rating"],
                            mode = "markers"),
                            row = 1, col = 1)

scatter.add_trace(go.Scatter(x = df.loc[df["country"]=="Spain", "price"],
                            y = df.loc[df["country"]=="Spain", "rating"],
                            mode = "markers"),
                            row = 1, col = 2)

scatter.add_trace(go.Scatter(x = df.loc[df["country"]=="Italy", "price"],
                            y = df.loc[df["country"]=="Italy", "rating"],
                            mode = "markers"),
                            row = 2, col = 1)

scatter.add_trace(go.Scatter(x = df.loc[df["country"]=="Chile", "price"],
                            y = df.loc[df["country"]=="Chile", "rating"],
                            mode = "markers"),
                            row = 2, col = 2)

scatter.update_layout(showlegend = False, plot_bgcolor = "white",
                     xaxis = dict(showtickprefix = "all", tickprefix = "£"))

scatter.show()

如果我删除了共享的 x 和 y 轴命令，那么货币将仅出现在左下角的子图中，但我真的不想删除它。

请问有谁知道解决这个问题的方法吗？

更新

我目前正在创建以下图表：

我希望能够创建以下内容：

标签： pythonplotly

Answer 1

我认为这与这个答案非常相似这个想法是使用for_each_xaxis和更新每一个跟踪for_each_yaxis，如下所示。

数据

import pandas as pd
import numpy as np
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import random

x = np.array(["France", "Spain", "Italy", "Chile"])

df = pd.DataFrame({"country": np.repeat(x, [10,10,10,10]).tolist(),
                       "rating": random.sample(range(0,100),40),
                      "price": random.sample(range(100,1000),40)})

阴谋

scatter = make_subplots(rows = 2, cols = 2,
                        shared_yaxes = True, shared_xaxes = True,
                        subplot_titles = ("France", "Spain", "Italy", "Chile"),
                        x_title = "Price", y_title = "Rating")

scatter.add_trace(go.Scatter(x = df.loc[df["country"]=="France", "price"],
                            y = df.loc[df["country"]=="France", "rating"],
                            mode = "markers"),
                            row = 1, col = 1)

scatter.add_trace(go.Scatter(x = df.loc[df["country"]=="Spain", "price"],
                            y = df.loc[df["country"]=="Spain", "rating"],
                            mode = "markers"),
                            row = 1, col = 2)

scatter.add_trace(go.Scatter(x = df.loc[df["country"]=="Italy", "price"],
                            y = df.loc[df["country"]=="Italy", "rating"],
                            mode = "markers"),
                            row = 2, col = 1)

scatter.add_trace(go.Scatter(x = df.loc[df["country"]=="Chile", "price"],
                            y = df.loc[df["country"]=="Chile", "rating"],
                            mode = "markers"),
                            row = 2, col = 2)

# New stuff from here
scatter = scatter.update_layout(showlegend = False, plot_bgcolor = "white")

def update_y(y):
    y.update(matches=None)
    y.showticklabels=True
    
def update_x(x):
    x.update(matches=None)
    x.showticklabels=True
    x.tickprefix = "£"
    
scatter.for_each_yaxis(update_y)
scatter.for_each_xaxis(update_x)

使用plotly.express

如果您愿意，您最终可以使用 plotly express，但在这种情况下，您也需要处理注释。

import plotly.express as px

fig = px.scatter(
           df,
           x="price",
           y="rating",
           color="country",
           facet_col="country",
           facet_col_wrap=2,
           facet_row_spacing=0.2, # default is 0.07 when facet_col_wrap is used
           facet_col_spacing=0.04, # default is 0.03
           )

fig = fig.update_layout(showlegend = False, plot_bgcolor = "white")
fig.for_each_annotation(lambda a: a.update(text=a.text.split("=")[-1]))

def update_y(y):
    y.update(matches=None)
    y.showticklabels=True
    y.title.text = ""
    
def update_x(x):
    x.update(matches=None)
    x.showticklabels=True
    x.tickprefix = "£"
    x.title.text = ""


fig.for_each_yaxis(update_y)
fig.for_each_xaxis(update_x)

extra_annotations =[
        go.layout.Annotation(
            {
                'showarrow': False,
                'text': 'Price',
                'x': 0.5,
                'xanchor': 'center',
                'xref': 'paper',
                'y': 0,
                'yanchor': 'top',
                'yref': 'paper',
                'yshift': -30,
                'font': dict(
                    # family="Courier New, monospace",
                    size=16,
                    # color="#ffffff"
                    ),

            }),
         go.layout.Annotation(
            {
                'showarrow': False,
                'text': 'Rating',
                'x': 0,
                'xanchor': 'center',
                'xref': 'paper',
                'y': 0.7,
                'yanchor': 'top',
                'yref': 'paper',
                'xshift': -40,
                'textangle': -90,
                'font': dict(
                    # family="Courier New, monospace",
                    size=16,
                    # color="#ffffff"
                    ),

            })
        ]

annotations = list(fig.layout.annotations) + extra_annotations
fig.update_layout( annotations=annotations)