Python Plotly 子圖軸前綴

Question

我希望貨幣符號作為情節子圖中 x 軸的前綴，這些命令很好，因為它可以在其他地方工作，但是當它與子圖函數集成時，它似乎只是發揮作用。

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()

如果我刪除共享的 x 和 y 軸命令，則貨幣將僅出現在左下角的子圖中，但我真的不想刪除它。

請問有人知道解決這個問題的方法嗎？

更新

我目前正在創建以下圖表：

我希望能夠創建以下內容：

Answer 1

我認為這與此答案非常相似。想法是使用for_each_xaxis和for_each_yaxis更新每個跟蹤，如下所示。

數據

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)})

陰謀

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

如果您願意，您最終可以使用 plotly express，但在這種情況下，您也需要處理注釋。

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)

Answer 2

所以我發現了如何做到這一點，您需要使用代碼xaxisN_tickprefix = "£"單獨更新子圖，其中 'N' 是圖形的繪圖編號。 在這種情況下，我試圖更新圖 3 和圖 4，以及下面的完整代碼和圖表。

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 = "£")  <- old code
                     xaxis3_tickprefix = "£", xaxis4_tickprefix = "£") #new code

scatter.update_xaxes(range = [0,1000]) #also added to ensure the axis align
scatter.update_yaxes(range = [0,100]) #also added to ensure the axis align

scatter.show()