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🌐 [translation-sync] Read test_pwt.csv from data-lectures (Track D) #92

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mmcky merged 4 commits into from
Aug 18, 2026
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🌐 [translation-sync] Read test_pwt.csv from data-lectures (Track D) #92

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9334141
Update translation: lectures/pandas.md
mmcky Aug 18, 2026
7c1f5f3
Update translation: .translate/state/pandas.md.yml
mmcky Aug 18, 2026
923681f
Update translation: lectures/polars.md
mmcky Aug 18, 2026
1271023
Update translation: .translate/state/polars.md.yml
mmcky Aug 18, 2026
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6 changes: 3 additions & 3 deletions .translate/state/pandas.md.yml
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
source-sha: d35eb831da23a763f43d403e96f20d43529cae53
synced-at: "2026-08-12"
source-sha: 55c87c9fdbdb522866c5b6bbdc65c073941d7f16
synced-at: "2026-08-18"
model: claude-sonnet-5
mode: UPDATE
section-count: 5
tool-version: 0.25.0
tool-version: 0.26.0
6 changes: 3 additions & 3 deletions .translate/state/polars.md.yml
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
source-sha: d35eb831da23a763f43d403e96f20d43529cae53
synced-at: "2026-08-12"
source-sha: 55c87c9fdbdb522866c5b6bbdc65c073941d7f16
synced-at: "2026-08-18"
model: claude-sonnet-5
mode: UPDATE
section-count: 6
tool-version: 0.25.0
tool-version: 0.26.0
4 changes: 2 additions & 2 deletions lectures/pandas.md
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Expand Up @@ -165,7 +165,7 @@ s

因此，它是表示和分析自然组织成行和列的数据的强大工具，通常具有用于单个行和单个列的描述性索引。

让我们看一个从 CSV 文件 `pandas/data/test_pwt.csv` 读取数据的示例，该文件取自 [Penn World Tables](https://www.rug.nl/ggdc/productivity/pwt/pwt-releases/pwt-7.0)。
让我们看一个从 CSV 文件 `test_pwt.csv` 读取数据的示例，该文件取自 [Penn World Tables](https://www.rug.nl/ggdc/productivity/pwt/pwt-releases/pwt-7.0)。

该数据集包含以下指标：

Expand All @@ -181,7 +181,7 @@ s
我们将使用 `pandas` 函数 `read_csv` 从 URL 读取数据。

```{code-cell} ipython3
df = pd.read_csv('https://raw.githubusercontent.com/QuantEcon/lecture-python-programming/main/lectures/_static/lecture_specific/pandas/data/test_pwt.csv')
df = pd.read_csv('https://github.com/QuantEcon/data-lectures/raw/main/lectures/test_pwt.csv')
type(df)
```

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12 changes: 3 additions & 9 deletions lectures/polars.md
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Expand Up @@ -174,9 +174,7 @@ df
我们使用 `pl.read_csv` 来读取数据

```{code-cell} ipython3
url = ('https://raw.githubusercontent.com/QuantEcon/'
'lecture-python-programming/main/lectures/_static/'
'lecture_specific/pandas/data/test_pwt.csv')
url = 'https://github.com/QuantEcon/data-lectures/raw/main/lectures/test_pwt.csv'
df = pl.read_csv(url)
df
```
Expand Down Expand Up @@ -359,9 +357,7 @@ Polars 最强大的特性之一是**惰性求值（lazy evaluation）**。

```{code-cell} ipython3
# 重新加载数据集
url = ('https://raw.githubusercontent.com/QuantEcon/'
'lecture-python-programming/main/lectures/_static/'
'lecture_specific/pandas/data/test_pwt.csv')
url = 'https://github.com/QuantEcon/data-lectures/raw/main/lectures/test_pwt.csv'
df_full = pl.read_csv(url)
```

Expand Down Expand Up @@ -436,9 +432,7 @@ import pandas as pd
import time

# 小数据集 -- Penn World Tables（约 8 行）
url = ('https://raw.githubusercontent.com/QuantEcon/'
'lecture-python-programming/main/lectures/_static/'
'lecture_specific/pandas/data/test_pwt.csv')
url = 'https://github.com/QuantEcon/data-lectures/raw/main/lectures/test_pwt.csv'
small_pd = pd.read_csv(url)
small_pl = pl.read_csv(url)
```
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