File:Mens hour records progression.svg
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Size of this PNG preview of this SVG file: 800 × 465 pixels. Other resolutions: 320 × 186 pixels | 640 × 372 pixels | 1,024 × 595 pixels | 1,280 × 743 pixels | 2,560 × 1,487 pixels | 1,071 × 622 pixels.
Original file (SVG file, nominally 1,071 × 622 pixels, file size: 91 KB)
Captions
Captions
Plot showing the progression of the three UCI Hour Records for Men, from 1970 to 2022.
Summary
[edit]| Description |
English: The progression of the UCI Hour Record in cycling for Men, broken up into the three currently recognized categories:
UCI Hour Record
UCI Best Human Effort
UCI Unified Record
Data is from English Wikipedia Hour Record Article. |
||
| Date | |||
| Source | Own work | ||
| Author | Falcorian | ||
| SVG development |  This plot was created with Matplotlib. | ||
| Source code | Python code#!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
# In[2]:
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
# In[3]:
# Set plotting style
plt.style.use("seaborn-white")
RECORD_TO_TEXT = {
"uci": "UCI Record",
"best": "Best Human Effort",
"unified": "Unified Record",
}
CURRENT_PALLETE = sns.color_palette()
PLOT_COLORS = {
"uci": CURRENT_PALLETE[0],
RECORD_TO_TEXT["uci"]: CURRENT_PALLETE[0],
"best": CURRENT_PALLETE[1],
RECORD_TO_TEXT["best"]: CURRENT_PALLETE[1],
"unified": CURRENT_PALLETE[2],
RECORD_TO_TEXT["unified"]: CURRENT_PALLETE[2],
}
WIDTH = 12
HEIGHT = 7
get_ipython().run_line_magic('matplotlib', 'inline')
# # Load the data
#
# I have already scraped the HTML, read it into Pandas, and cleaned it up. So I'll just load that cleaned data.
# In[4]:
df = pd.read_json("./hour_record_dataframe.json", orient="table")
# In[5]:
# Rename some riders who have *REALLY* long names
df = df.replace(
{
"Leontien Zijlaard-van Moorsel": "Leontien van Moorsel",
"Molly Shaffer Van Houweling": "Molly Van Houweling",
}
)
# In[6]:
df.head()
# # Plotting
# In[7]:
def draw_bands(ax, ticks=None):
"""Add grey bands to the plot.
Args:
ax: a matplotlib axes object.
ticks: a list of tick postions, to use instead of the ones that come
with ax.
"""
if ticks is None:
ticks = ax.get_xticks(minor=False)
for i in range(0, len(ticks), 2):
# Check for the end of the array
if i >= len(ticks) or i + 1 >= len(ticks):
return
# Draw a band
left_tick = ticks[i]
right_tick = ticks[i + 1]
plt.axvspan(left_tick, right_tick, color="0.97", zorder=-2)
ticks = ax.get_xticks(minor=False)
# In[8]:
def draw_legend(plt):
"""Draw the legend on the specified plot.
Args:
plt (matplotlib.pyplot): pyplot object
"""
leg = plt.legend(
loc="upper left",
fontsize=18,
ncol=1,
frameon=1,
fancybox=True,
# The bellow commands remove the lines in the legend
handlelength=0,
handletextpad=0,
markerscale=0,
)
# Turn on and theme the frame
frame = leg.get_frame()
frame.set_linewidth(1)
frame.set_alpha(1)
frame.set_facecolor("white")
frame.set_edgecolor("black")
# Set the legend text color to match the line color
handles, _ = ax.get_legend_handles_labels()
texts = leg.get_texts()
for _, text in zip(handles, texts):
text.set_color(PLOT_COLORS[text.get_text()])
fig.tight_layout()
# In[9]:
def annotate_point_with_name(row, color, nudges):
rider = row["rider"]
distance = row["distance (km)"]
date = row["date"]
text = f"{rider} ({distance} km) "
# Try to get nudges
adjust = nudges.get((rider, distance), (0, 0))
x_adjust = adjust[0] * 365.0 # Convert to years
x_pos = date + pd.to_timedelta(x_adjust, unit="D")
y_pos = distance + adjust[1]
plt.text(
x_pos,
y_pos,
text,
horizontalalignment="right",
verticalalignment="center",
color=color,
fontsize=16,
fontweight="bold",
)
# In[10]:
def plot_steps_and_markers(df, nudges, ax):
MAX_DATE = max(df["date"])
plt.sca(ax)
for record in df["record"].unique():
color = PLOT_COLORS[record]
df_tmp = df[df["record"] == record]
heights = list(df_tmp["distance (km)"].values)
years = list(df_tmp["date"].values)
# Exend to the end of the plot
heights += [heights[-1]]
years += [MAX_DATE]
plt.step(
x=years,
y=heights,
where="post",
linewidth=2.5,
color=color,
label=RECORD_TO_TEXT[record],
)
plt.plot(years[:-1], heights[:-1], "o", color=color, markersize=10)
for index, row in df_tmp.iterrows():
annotate_point_with_name(row, color, nudges)
# In[11]:
df_men = df[(df["gender"] == "men") & (df["success"] == True)]
fig, ax = plt.subplots(figsize=(WIDTH, HEIGHT))
annotation_nudge = {
("Eddy Merckx", 49.431): (9, 0.25),
("Chris Boardman", 49.441): (4, 0.25),
("Ondřej Sosenka", 49.7): (5, 0.33),
("Tony Rominger", 55.291): (0.2, -0.36),
}
ax.set_ylabel("Distance (km)", fontsize=20)
plt.title("Men's Hour Record Progression", fontsize=30)
plot_steps_and_markers(df_men, annotation_nudge, ax)
ax.tick_params(axis="both", which="major", labelsize=16)
draw_bands(ax)
draw_legend(ax)
_, x_current = ax.get_xlim()
ax.set_xlim("1966-01-01", x_current)
ticks = ax.get_xticks()
fig.patch.set_facecolor("white")
# Save to disk
for ext in ("png", "svg"):
fig.savefig(
"/tmp/mens_hour_records_progression.{ext}".format(ext=ext),
bbox_inches="tight",
transparent=False,
)
# In[12]:
df_women = df[(df["gender"] == "women") & (df["success"] == True)]
fig, ax = plt.subplots(figsize=(WIDTH, HEIGHT))
annotation_nudge = {
("Maria Cressari", 41.471): (10, -0.27),
("Keetie van Oosten", 43.082): (18, -0.25),
("Jeannie Longo-Ciprelli", 44.767): (20.5, -0.25),
("Jeannie Longo-Ciprelli", 45.094): (20.5, -0.25),
("Leontien van Moorsel", 46.065): (19.5, -0.25),
("Jeannie Longo-Ciprelli", 44.933): (0, 0.25),
("Yvonne McGregor", 47.411): (1.5, 0.3),
("Jeannie Longo-Ciprelli", 48.159): (3, 0.3),
("Catherine Marsal", 47.112): (0, -0.15),
("Molly Van Houweling", 46.273): (0, 0.1),
("Evelyn Stevens", 47.98): (0, -0.1),
("Vittoria Bussi", 48.007): (3, 0.35),
("Joscelin Lowden", 48.405): (0.5, 0.35),
}
ax.set_ylabel("Distance (km)", fontsize=20)
plt.title("Women's Hour Record Progression", fontsize=30)
plot_steps_and_markers(df_women, annotation_nudge, ax)
ax.tick_params(axis="both", which="major", labelsize=16)
draw_bands(ax, ticks[1:-1])
draw_legend(ax)
ax.set_ylim(41, 49.5)
fig.patch.set_facecolor("white")
# Save to disk
for ext in ("png", "svg"):
fig.savefig(
"/tmp/womens_hour_records_progression.{ext}".format(ext=ext),
bbox_inches="tight",
transparent=False,
)
Data
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Licensing
[edit]
I, the copyright holder of this work, hereby publish it under the following licenses:    This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International, 3.0 Unported, 2.5 Generic, 2.0 Generic and 1.0 Generic license.
You may select the license of your choice. |
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File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 03:34, 16 October 2022 | | 1,071 × 622 (91 KB) | Falcorian (talk | contribs) | Add Ganna record |
| 21:45, 21 August 2022 |  | 1,071 × 622 (89 KB) | Falcorian (talk | contribs) | Update to 2022 | |
| 04:40, 3 June 2019 |  | 1,071 × 620 (106 KB) | Falcorian (talk | contribs) | == {{int:filedesc}} == {{Information |description={{en|1=The progression of the UCI Hour Record in cycling for Men, broken up into the three currently recognized categories: {{legend|#1f77b4|UCI Hour Record}} {{legend|#ff7f0e|UCI Best Human Effort}} {{legend|#2ca02c|UCI Unified Record}} Data is from English Wikipedia Hour Record Article. |source={{own}} |author=Falcorian |date=2019-06-02 |other fields={{Igen|Matplotlib|+|code= # -*- coding: utf... |
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