Skip to content

Read test_pwt.csv from data-lectures (Track D) #612

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
mmcky merged 1 commit into from
Aug 18, 2026
Merged

Read test_pwt.csv from data-lectures (Track D) #612

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions lectures/pandas.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -153,7 +153,7 @@ In essence, a `DataFrame` in pandas is analogous to a (highly optimized) Excel s

Thus, it is a powerful tool for representing and analyzing data that are naturally organized into rows and columns, often with descriptive indexes for individual rows and individual columns.

Let's look at an example that reads data from the CSV file `pandas/data/test_pwt.csv`, which is taken from the [Penn World Tables](https://www.rug.nl/ggdc/productivity/pwt/pwt-releases/pwt-7.0).
Let's look at an example that reads data from the CSV file `test_pwt.csv`, which is taken from the [Penn World Tables](https://www.rug.nl/ggdc/productivity/pwt/pwt-releases/pwt-7.0).

The dataset contains the following indicators

Expand All @@ -169,7 +169,7 @@ The dataset contains the following indicators
We'll read this in from a URL using the `pandas` function `read_csv`.

```{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)
```

Expand Down
12 changes: 3 additions & 9 deletions lectures/polars.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -158,9 +158,7 @@ As in {doc}`pandas`, let's work with data from the [Penn World Tables](https://w
We read this in using `pl.read_csv`

```{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 @@ -344,9 +342,7 @@ Instead of executing each operation immediately, lazy mode collects the full que

```{code-cell} ipython3
# Reload the dataset
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 @@ -422,9 +418,7 @@ import pandas as pd
import time

# Small dataset -- Penn World Tables (~8 rows)
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)
```
Expand Down
Loading