mark_image(), and replace image_url below with the URL of the image. To use images instead of emojis, replace the line containing. (chart + annotation_layer).interactive(), mark_text(size=20, text="⬇", dx=-8, dy=-10, align="left")įinally, we overlay the annotations on top of the base chart using the + operator to create the final layered chart! 🎈 st.altair_chart( This is achieved using Altair's encode() method to map the event column containing the annotation text to the visual attribute ⬇ of the plot. The annotation text is displayed as a tooltip when users hover over the ⬇ emoji. The data point at the specific date and height is represented by the ⬇ emoji, using Altair's mark_text() mark. Using this dataframe, we create a scatter plot with the x-axis representing the date, and the y-axis representing the height of the annotation. ("Dec 01, 2009", "Small crash for GOOG after."),Īnnotations_df = pd.DataFrame(ANNOTATIONS, columns=)Īnnotations_df.date = pd.to_datetime(annotations_df.date) ("Nov 01, 2008", "Market starts again thanks to."), ("Dec 01, 2007", "Something's going wrong for GOOG & AAPL"), To do so, we create a dataframe annotations_df containing the dates, annotation text, and the height of the annotations: # Add annotations You can vary the horizontal and vertical postions of the annotations by replacing the hard-coded values with the output of Streamlit widgets! Click here to jump to a live example below, and develop an intuition for the ideal horizontal and vertical positions of the annotations by playing with Streamlit widgets. We want users to hover over the ⬇ emoji to see the associated annotation text.įor simplicity, let's annotate four specific dates and set the height of the annotations at constant value of 10. Let's overlay the ⬇ emoji on top of the time-series chart at specifc points of interest. Now that we have our first chart that shows the data, we can annotate it with text and an emoji. Return (lines + points + tooltips).interactive() Opacity=alt.condition(hover, alt.value(0.3), alt.value(0)),Īlt.Tooltip("price", title="Price (USD)"), # Draw a rule at the location of the selection Points = ansform_filter(hover).mark_circle(size=65) # Draw points on the line, and highlight based on selection # Define the base time-series chart.Īlt.Chart(data, title="Evolution of stock prices") This is going to be our base chart on which we will overlay the annotations in Step 2. We then invoke get_chart() that takes the stock prices dataframe as an input and returns a chart object. The x-axis represents the date, and the y-axis represents the stock price. Next, we define a function get_chart() to create the interactive time-series chart of the stock prices with a multi-line tooltip. # We use to keep the dataset in get_data(): Click here to learn more about multi-line tooltips in Altair.įirst, we import the required libraries and load the example stocks dataset using the vega_datasets package: import altair as alt The chart is interactive and contains a multi-line tooltip. In this example, we create a time-series chart to track the evolution of stock prices. Let's walk through an example of annotating a time-series chart with text and an emoji. The second chart can then be overlaid on top of the first chart using the + operator to create a layered chart. The idea is to use the first chart to show the data, and the second chart to show the annotations.
You can do this by creating layered charts, which let you overlay two different charts on top of each other. Source = pd.Altair also allows you to annotate your charts with text, images, and emojis. Thanks in advance the following shows a code sniplet: with st.beta_expander("Verteilung der 16 Polyzyklischen Aromatischen Kohlenwasserstoffe der US-Environmental Protection Agency (16EPA-PAK)"): I think its an easy task for you so am hoping u can help me So maybe one of you has an idea how, for instance, to set the font size of the y and x axis seperately or both togehter (both ways d be nice). So how can I do so ? I am new to programming and really a noob, workarounds/solutions ive seen so far didnt work. Hey guys, I am trying to set the Font Size for the axes since the result is showing this way to small.
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