If you use pandas
, just get the data via:
import pandas as pd
df_men = pd.read_csv("https://raw.githubusercontent.com/thomascamminady/LeTourDataSet/master/data/TDF_Riders_History.csv")
df_women = pd.read_csv("https://raw.githubusercontent.com/thomascamminady/LeTourDataSet/master/data/TDFF_Riders_History.csv")
If you use R
instead of python
, you can run:
library(readr)
df_men <- read_csv("https://raw.githubusercontent.com/thomascamminady/LeTourDataSet/master/data/TDF_Riders_History.csv")
df_women <- read_csv("https://raw.githubusercontent.com/thomascamminady/LeTourDataSet/master/data/TDFF_Riders_History.csv")
As of 2023, the data for Le Tour de France Femmes avec Zwift is available on the official tour website. This data is now included as well. To assure backward compatibility, the data for the men's and women's versions of Le Tour are stored in different files.
Every cyclist of the Tour de France in a single CSV file, stored in the file data/TDF_Riders_History.csv
.
There's also data on every stage in data/TDF_Stages_History.csv
.
The women's tour data is stored in files with the prefix TDFF
(Tour de France Femmes).
In your shell, just run these commands:
poetry install # to install the environment
poetry run python letourdataset/Downloader.py # get the data
For issues with this data set, see the Issues tab. There are some entries that are incorrect. However, so far it seems that the mistake stems from wrong data on the letour.fr website. Looking back, I should have probably scraped another website.
This code has been completely rewritten. The previous code, including the output, is in the legacy repository. Especially legacy/README.txt
should be read.