audhiaprilliant

# 2 Change background and font color

# Create object of figure
fig = go.Figure()

# Create a bar plot
fig.add_trace(
    go.Bar(
        x = df['Fruit'],
        y = df['Sales']

audhiaprilliant

# 3 Sort the bar in descending order

# Sort the data frame by sales
df.sort_values(
    by = ['Sales'],
    ascending = False,
    ignore_index = True,
    inplace = True
)

audhiaprilliant

# 4 Set a bar width

# Create list of bar width
widths = np.repeat(0.5, len(df))

# Create object of figure
fig = go.Figure()

# Create a bar plot
fig.add_trace(

audhiaprilliant

# 5 Flip the horizontal axis and set range of vertical axis

# Create object of figure
fig = go.Figure()

# Create a bar plot
fig.add_trace(
    go.Bar(
        x = df['Fruit'],
        y = df['Sales'],

audhiaprilliant

# 6 Add plot title, subtitle, description, footnote, and axis titles

# Create object of figure
fig = go.Figure()

# Create a bar plot
fig.add_trace(
    go.Bar(
        x = df['Fruit'],
        y = df['Sales'],

audhiaprilliant

# 7 Highlight some points in bar

# Add the colors
avg_sales = df['Sales'].mean()
df['Color'] = df['Sales'].apply(lambda x: '#981220' if x >= avg_sales else '#80797C')

# Create object of figure
fig = go.Figure()

# Create a bar plot

audhiaprilliant

# 8 Add the horizontal line

# Create object of figure
fig = go.Figure()

# Create a bar plot
fig.add_trace(
    go.Bar(
        x = df['Fruit'],
        y = df['Sales'],

audhiaprilliant

# 9 Modify the hover text

# Create object of figure
fig = go.Figure()

# Create a bar plot
fig.add_trace(
    go.Bar(
        x = df['Fruit'],
        y = df['Sales'],

audhiaprilliant

# 10 Add multiple plot into one frame

# Calculate the accumulated percentage
df['Percentage'] = (df['Sales'].cumsum() / df['Sales'].sum()) * 100

# Create object of figure
fig = make_subplots(
    specs = [
        [
            {

audhiaprilliant