[英]Empty scatter plot in Altair
我很困惑為什么這段代碼不起作用:
#@title Visualize trends in accelerators
x_axis = 'Release Year'
y_axis = 'FP32 (single precision) Performance [FLOP/s]'
# Libraries
import pandas as pd
import numpy as np
import altair as alt
# Download data
key = '1AAIebjNsnJj_uKALHbXNfn3_YsT6sHXtCU0q7OIPuc4'
sheet_name = 'HARDWARE_DATA'
url = f'https://docs.google.com/spreadsheets/d/{key}/gviz/tq?tqx=out:csv&sheet={sheet_name}'
df = pd.read_csv(url)
# Filter NaN datapoints
df = df[~df[x_axis].isna()]
df = df[~df[y_axis].isna()]
# Plot the dataset
alt.themes.enable('fivethirtyeight')
alt.Chart(df).mark_circle(size=60).encode(
x=alt.X(f'{x_axis}:Q',
scale=alt.Scale(
domain=(df[x_axis].min(), df[x_axis].max())
),
axis=alt.Axis(format=".0f")
),
y=alt.Y(f'{y_axis}:Q',
scale=alt.Scale(
domain=(df[y_axis].min(), df[y_axis].max())
),
axis=alt.Axis(format=".1e")
),
)
當我使用 seaborn 繪制它時它有效
import seaborn as sns
sns.set_theme()
sns.regplot(x=df[x_axis], y=df[y_axis]);
沒有顯示錯誤消息 - 只是空圖。 控制台拋出這個警告
DevTools failed to load source map: Could not load content for https://cdn.jsdelivr.net/npm/vega-embed.min.js.map: HTTP error: status code 404, net::ERR_HTTP_RESPONSE_CODE_FAILURE
到底是怎么回事?
問題是您的列名中有特殊字符,需要在 Altair 中進行轉義(參見例如https://altair-viz.github.io/user_guide/generated/core/altair.Color.html 中的field
文檔?highlight=escape )
為什么是這樣? 像.
Vega-Lite 中的[]
和[]
用於訪問列的嵌套屬性。
最簡單的方法是在數據框列名稱中避免此類特殊字符。 或者,您可以使用反斜杠 ( \\
) 轉義特殊字符,但要注意 Python 字符串中反斜杠的影響(使用r
前綴進行原始字符串編碼)。 例如:
x_axis = 'Release Year'
y_axis = 'FP32 (single precision) Performance [FLOP/s]'
y_axis_escaped = r'FP32 (single precision) Performance \[FLOP/s\]'
# Libraries
import pandas as pd
import numpy as np
import altair as alt
# Download data
key = '1AAIebjNsnJj_uKALHbXNfn3_YsT6sHXtCU0q7OIPuc4'
sheet_name = 'HARDWARE_DATA'
url = f'https://docs.google.com/spreadsheets/d/{key}/gviz/tq?tqx=out:csv&sheet={sheet_name}'
df = pd.read_csv(url)
# Filter NaN datapoints
df = df[~df[x_axis].isna()]
df = df[~df[y_axis].isna()]
# Plot the dataset
alt.themes.enable('fivethirtyeight')
alt.Chart(df).mark_circle(size=60).encode(
x=alt.X(f'{x_axis}:Q',
scale=alt.Scale(
domain=(df[x_axis].min(), df[x_axis].max())
),
axis=alt.Axis(format=".0f")
),
y=alt.Y(f'{y_axis_escaped}:Q',
scale=alt.Scale(
domain=(df[y_axis].min(), df[y_axis].max())
),
axis=alt.Axis(format=".1e")
),
)
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