If you use pandas, just get the data via:
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/camminady/LeTourDataSet/master/data/TDF_Riders_History.csv")If you use R instead of python, you can run:
library(readr)
df <- read_csv("https://raw.githubusercontent.com/camminady/LeTourDataSet/master/data/TDF_Riders_History.csv")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.
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.
To regenerate the data/TDF_Riders_History.csv file, execute all cells of the src/main.py. This might take a couple of minutes.
The src/analysis.py contains some basic analysis and visualizations of the data. For example, the distance and winner pace are shown above.
This code has been completely rewritten. The previous code, including the output, is in the legacy repository. Especially legacy/README.txt should be read.