Add EU project timeline overview figure

[sanjaysrikakulam]

The Python script used for creating the image (the input is an Excel file with three columns: Project name, Start, End and the input was shared by @bgruening):

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import seaborn as sns
import matplotlib.patches as patches

# Read Excel table
df = pd.read_excel("/home/sanjay/playground/Galaxy_Europe_Projects-start-end_cleaned.xlsx")
df.columns = df.columns.str.strip()
df['start'] = pd.to_datetime(df['Start'])
df['end'] = pd.to_datetime(df['End'])

# Sort projects so the earliest projects appear at the top
df = df.sort_values(by='start', ascending=True).reset_index(drop=True)
bar_color = '#00A9E0'
fig, ax = plt.subplots(figsize=(16, max(8, len(df)*0.3)))

# Plot each project as a horizontal bar with rounded edges
for i, row in enumerate(df.itertuples()):
    width = (row.end - row.start).days
    rect = patches.FancyBboxPatch(
        (mdates.date2num(row.start), i - 0.3),  # x, y position
        width,
        0.6,  # height
        boxstyle="round,pad=0.1,rounding_size=3", 
        color=bar_color,
        linewidth=0  # no border
    )
    ax.add_patch(rect)

# Adjust x limits to include bars fully
ax.set_xlim(df['start'].min() - pd.Timedelta(days=30), df['end'].max() + pd.Timedelta(days=30))
ax.set_ylim(-1, len(df))

# Set Y ticks and labels to project names
ax.set_yticks(range(len(df)))
ax.set_yticklabels(df['Project name'], fontsize=15, fontweight='bold')

# Invert Y axis so earliest projects are at the top
ax.invert_yaxis()

ax.xaxis.set_major_locator(mdates.YearLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))

plt.xticks(rotation=45, fontsize=15, fontweight='bold')
ax.set_xlabel("Year", fontsize=15, fontweight='bold')
ax.set_ylabel("Project Name", fontsize=15, fontweight='bold')
ax.set_title("Project Timeline", fontsize=15, fontweight='bold')

# Remove borders/frame
for spine in ax.spines.values():
    spine.set_visible(False)

plt.tight_layout()

plt.savefig(output_path, dpi=300, bbox_inches='tight', transparent=True)

print(f"Timeline plot saved as {output_path}")

[sanjaysrikakulam]

I have also added a table with the overview and URLs to the project/grant-related websites.

[Sch-Da]

Is it possible this is a different Date-format for data plant than the others? I though it lasts until Spetember 2025, not January?

[Sch-Da]

Is the MWK also a part of this? @teresa-m asked, and I think she is right.

[bgruening]

Yes it is.