Computation and notebooks

import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randn(10, 4), columns=['A', 'B', 'C', 'D'])
df

import matplotlib.pyplot as plt

plt.figure(figsize=(10, 6))
plt.scatter(df['A'], df['B'], alpha=0.7)
plt.xlabel('Column A')
plt.ylabel('Column B')
plt.title('Scatter Plot of DataFrame Columns')
plt.grid(True, alpha=0.3)
plt.show()

import plotly.express as px

fig = px.scatter(df, x='A', y='B', title='Interactive Scatter Plot with Plotly')
fig.update_layout(
    xaxis_title='Column A',
    yaxis_title='Column B',
    showlegend=False
)
fig.show()

import altair as alt

chart = alt.Chart(df.reset_index()).mark_circle().encode(
    x=alt.X('A:Q', title='Column A'),
    y=alt.Y('B:Q', title='Column B'),
    tooltip=['index', 'A', 'B']
).properties(
    title='Interactive Chart with Altair',
    width=400,
    height=300
)

chart

from bokeh.plotting import figure, show
from bokeh.io import output_notebook

# Configure Bokeh to display plots inline
output_notebook()

# Create the plot
p = figure(width=400, height=300, title='Interactive Scatter Plot with Bokeh')
p.scatter(df['A'], df['B'], size=8, alpha=0.7, color='navy')

# Customize the plot
p.xaxis.axis_label = 'Column A'
p.yaxis.axis_label = 'Column B'
p.grid.grid_line_alpha = 0.3

show(p)

def print_a_really_long_string():
    print("MyST is really really really really really really really really really really really really really really really really really really really really really really really really really really really really really really really really really really really really really really really neat!")
print_a_really_long_string()