我想創(chuàng)建一個(gè)分組條形圖，顯示每組的中位數(shù)和平均值。我還使用動(dòng)畫幀來顯示每個(gè)中位數(shù)和均值如何根據(jù) ubi 數(shù)量而變化。我想對(duì)這些條形圖進(jìn)行分組，以便它顯示每個(gè)組的中位數(shù)和平均值及其變化方式。這是我的代碼，但我不知道如何對(duì)它們進(jìn)行分組。import pandas as pdimport plotly.express as pxsummary_med = pd.read_csv('https://github.com/ngpsu22/indigenous-peoples-day/raw/main/native_medians_means')fig = px.bar(summary_med, x = 'race', y='med_resources_per_person', animation_frame='monthly_ubi', range_y=[0,25_000], labels={ "med_resources_per_person": "Median resources per person", "race": "Race", "monthly_ubi": "Monthly UBI", "native": "Native", "non_native": "Non-native" }, title="Tax funded UBI and median resources per person", color='race', text='med_resources_per_person', height=900, width=800, color_discrete_map={'native': '#5886a5', 'non_native': '#5886a5'})fig.update_traces(texttemplate='$%{text}')fig.update_layout(showlegend=False, yaxis_tickprefix='$')fig.show()
2 回答
一只斗牛犬
TA貢獻(xiàn)1784條經(jīng)驗(yàn) 獲得超2個(gè)贊
我不確定這是否是您所要求的
import pandas as pd
import plotly.express as px
url = 'https://github.com/ngpsu22/indigenous-peoples-day/raw/main/native_medians_means'
df = pd.read_csv(url)
# wide to long
df = pd.melt(df,
id_vars=["monthly_ubi", "race"],
value_vars=['med_resources_per_person',
'mean_resources_per_person'],
var_name="resource",
value_name="y")
# Format text
diz_resource = {"med_resources_per_person": "Median",
"mean_resources_per_person": "Mean"}
diz_race = {"native": "Native",
"non_native": "Non-native"}
df["resource"] = df["resource"].map(diz_resource)
df["race"] = df["race"].map(diz_race)
# Range max
range_max = df["y"].max() * 1.2
# Plot
fig = px.bar(df,
x='race',
y="y",
color="resource",
barmode='group',
animation_frame='monthly_ubi',
text='y',
height=900, width=800,
labels={"race": "Race",
"monthly_ubi": "Monthly UBI",
"y": "Resource Per Person"
},
title="Tax funded UBI and median resources per person",
range_y=[0, range_max]
)
fig.update_traces(texttemplate='$ %{text}')
fig.update_layout(title_x=0.5,
# showlegend=False,
yaxis_tickprefix='$')
fig.show()
肥皂起泡泡
TA貢獻(xiàn)1829條經(jīng)驗(yàn) 獲得超6個(gè)贊
這是一個(gè)不修改數(shù)據(jù)框的解決方案。但到目前為止，我還沒有找到一個(gè)好的方法來顯示沒有圖例的變量名稱（中位數(shù)、平均值）。我還修改了顏色以顯示差異，但如果您愿意，可以將顏色更改為相同。
代碼是：
import pandas as pd?
import plotly.express as px
summary_med = pd.read_csv('https://github.com/ngpsu22/indigenous-peoples-day/raw/main/native_medians_means')
fig = px.bar(summary_med, x="race", y=["med_resources_per_person","mean_resources_per_person"],
? ? ? ? ? ? ?# color='race',?
? ? ? ? ? ? ?animation_frame='monthly_ubi',?
? ? ? ? ? ? ?range_y=[0,50_000],
? ? ? ? ? ? ?barmode='group', # make it side by side?
? ? ? ? ? ? ?# height=400
? ? ? ? ? ? ? labels={
? ? ? ? ? ? ? ? ?"med_resources_per_person": "Median",
? ? ? ? ? ? ? ? ?"mean_resources_per_person":"Mean",
? ? ? ? ? ? ? ? ?"race": "Race",
? ? ? ? ? ? ? ? ?"monthly_ubi": "Monthly UBI",
? ? ? ? ? ? ? ? ?"native": "Native",
? ? ? ? ? ? ? ? ?"non_native": "Non-native"
? ? ? ? ? ? ?},
? ? ? ? ? ? title="Tax funded UBI and median resources per person",?
? ? ? ? ? ? height=900, width=800,
? ? ? ? ? ? color_discrete_map={'med_resources_per_person': '#5886a5','mean_resources_per_person': '#58a577'}
? ? ? ? ? ? )?
fig.update_traces(texttemplate='%{y}')?
fig.update_layout(showlegend=True, yaxis_tickprefix='$')?
fig.show()
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