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This function generates random charts using the Altair library. It includes various types of charts such as bar charts, line charts, scatter plots, and text charts. The function accepts a Pandas DataFrame as input, randomly selects a chart type, and returns a JSON-formatted chart.
Technology Stack : The packages and technologies used in this code include Altair, Pandas, and JSON.
Code Type : The type of code
Code Difficulty :
import altair as alt
import random
import pandas as pd
def random_chart(data):
"""
Generate a random chart using Altair.
"""
# Define a list of possible charts
chart_types = [
alt.Chart(data).mark_bar().encode(
alt.X('some_categorical_field:O', title='Category'),
alt.Y('some_numeric_field:Q', title='Value')
),
alt.Chart(data).mark_line().encode(
alt.X('some_datetime_field:T', title='Date'),
alt.Y('some_numeric_field:Q', title='Value')
),
alt.Chart(data).mark_point().encode(
alt.X('some_numeric_field:Q', title='X Value'),
alt.Y('some_numeric_field:Q', title='Y Value')
),
alt.Chart(data).mark_text(align='left', baseline='middle').encode(
alt.X('some_numeric_field:Q', title='Position'),
alt.Y('some_numeric_field:Q', title='Position'),
alt.Text('some_text_field:T', title='Text')
)
]
# Randomly select a chart type
selected_chart = random.choice(chart_types)
# Render the chart
return selected_chart.to_json()
# Example usage
data = pd.DataFrame({
'category': ['A', 'B', 'C', 'D'],
'value': [10, 20, 30, 40]
})
chart_json = random_chart(data)
print(chart_json)