[Plots]

TrustScore by color

import matplotlib.pyplot as plt
# Define the color scheme based on the values
colors = ['red' if x < 15 else 'Yellow' if x >= 15 and x < 25 else 'green' for x in df1['TrustScore']]

# Create the bar chart with the defined colors
plt.bar(range(len(df1)), df1['TrustScore'], color=colors)

# Add labels and titles to the chart
plt.xticks(range(len(df1)), df1.index)
plt.xlabel('Index')
plt.ylabel('TrustScore')
plt.title('Trust Score overall')

# Define the legend
legend_dict = {'red': 'Weak', 'Yellow': 'Medium', 'green': 'Strong'}
legend_labels = [legend_dict[color] for color in colors]
plt.legend(labels=legend_labels)

plt.show()
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# Define a function to map TrustScore values to colors
def color_map(x):
    if x < 15:
        return 'red'
    elif x < 25:
        return 'yellow'
    else:
        return 'green'

# Create a new column using the color_map function
df1['TrustScoreColor'] = df1['TrustScore'].apply(color_map)

---
import matplotlib.pyplot as plt

# Create the bar chart with color coding based on the new column
plt.bar(range(len(df1)), df1['TrustScore'], color=df1['TrustScoreColor'])

# Add labels and titles to the chart
plt.xticks(range(len(df1)), df1.index)
plt.xlabel('Index')
plt.ylabel('TrustScore')
plt.title('Trust Score overall')

plt.show()