Skip to content

Commit f66beab

Browse files
committed
fix linkchecker issues
1 parent 8b95249 commit f66beab

File tree

2 files changed

+3
-7
lines changed

2 files changed

+3
-7
lines changed

lectures/_config.yml

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -25,7 +25,8 @@ sphinx:
2525
'https://keras.io/',
2626
'https://data.oecd.org/',
2727
'https://www.reddit.com/',
28-
'https://openai.com']
28+
'https://openai.com',
29+
'https://chatgpt.com/']
2930
html_favicon: _static/lectures-favicon.ico
3031
html_theme: quantecon_book_theme
3132
html_static_path: ['_static']

lectures/pandas.md

Lines changed: 1 addition & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -506,12 +506,7 @@ An important database for economists is [FRED](https://research.stlouisfed.org/f
506506

507507
For example, suppose that we are interested in the [unemployment rate](https://research.stlouisfed.org/fred2/series/UNRATE).
508508

509-
Via FRED, the entire series for the US civilian unemployment rate can be downloaded directly by entering
510-
this URL into your browser (note that this requires an internet connection)
511-
512-
(To download the data as a csv, click here: [https://research.stlouisfed.org/fred2/series/UNRATE/downloaddata/UNRATE.csv](https://fred.stlouisfed.org/graph/fredgraph.csv?bgcolor=%23e1e9f0&chart_type=line&drp=0&fo=open%20sans&graph_bgcolor=%23ffffff&height=450&mode=fred&recession_bars=on&txtcolor=%23444444&ts=12&tts=12&width=1320&nt=0&thu=0&trc=0&show_legend=yes&show_axis_titles=yes&show_tooltip=yes&id=UNRATE&scale=left&cosd=1948-01-01&coed=2024-10-01&line_color=%234572a7&link_values=false&line_style=solid&mark_type=none&mw=3&lw=3&ost=-99999&oet=99999&mma=0&fml=a&fq=Monthly&fam=avg&fgst=lin&fgsnd=2020-02-01&line_index=1&transformation=lin&vintage_date=2024-11-03&revision_date=2024-11-03&nd=1948-01-01))
513-
514-
This request returns a CSV file, which will be handled by your default application for this class of files.
509+
(To download the data as a csv, click on the top right `Download` and select the `CSV (data)` option).
515510

516511
Alternatively, we can access the CSV file from within a Python program.
517512

0 commit comments

Comments
 (0)