> For the complete documentation index, see [llms.txt](https://larhues-personal-organization.gitbook.io/intro-to-data-visualization/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://larhues-personal-organization.gitbook.io/intro-to-data-visualization/exercises-and-examples/stock-market/polishing-the-visualization.md).

# Polishing the visualization

In order to create a visualization that is appropriate for presentation, you need to polish the visualization and change the axis titles, background, labels, etc.

<pre class="language-python"><code class="lang-python"><strong>import pandas as pd
</strong>import yfinance as yf
import kaleido
import plotly.express as px
import plotly.io as pio

# Download the daily Boeing stock prices
start = '2024-01-01'
end = '2024-12-31'
boeing = yf.download('BA', start=start, end=end, interval='1d')
boeing.reset_index(inplace=True)
boeing.columns = boeing.columns.to_flat_index()
boeing.columns = ['_'.join(col) for col in boeing.columns]
boeing.columns = ["Date", "Close", "High", "Low", "Open", "Volume"] # rename columns

# Create the line chart
# To change the color of the line, use the color_discrete_sequence=["red"]
fig = px.line(boeing, x="Date", y="Close", color_discrete_sequence=["black"]) 

# Use the update_layout() function to change the title for the plot and for the axes
fig.update_layout(
    title = 'Boeing Stock Price: 2024 (Bar Chart)',
 #   xaxis_tickformat = '%d %B (%a)&#x3C;br>%Y',
    xaxis_title = 'Date',
    yaxis_title = 'Price'
)

# Change the format of the y-axis to be currency
fig.update_layout(yaxis_tickformat = '$.0f') #'%'

# Change the format of the background plot
fig.update_layout(
    plot_bgcolor='white'
)

# Change the gridlines and x-axis tick marks
fig.update_xaxes(
    mirror=True, # showing the top line
    ticks='outside', # axis tick marks
    showline=True, # show the intercept lines
    linecolor='black', # the color of the intercept lines
    gridcolor='lightgrey' # the color of the gridlines
)

# Change the gridlines and y-axis tick marks
fig.update_yaxes(
    mirror=True, # showing the right, mirror line of the intercept
    ticks='outside',
    showline=True,
    linecolor='black',
    gridcolor='lightgrey'
)
fig.show()

# Save the image
pio.write_image(fig, "boeing_daily_line_polished.png", engine="kaleido")
</code></pre>