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Python · Theory

Plotly + Matplotlib

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Theory

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Plotly + Matplotlib

Plotly + Matplotlib is for charts/tables. Matplotlib/Plotly draw graphs. pandas holds tables (DataFrame). In interviews, say: DataFrame = rows+columns, then plot one column.

Tiny mental example: marks = {"Asha": 90, "Ravi": 85} → bar chart. You don’t need a PNG on the theory page — know the pipeline: data → figure → show/save.

Plotly + Matplotlib — output — [('Asha', 90), ('Ravi', 85)]. That data is what you plot.

Exam tip

Pipeline in three words + one library name.

Example

# Plotly + Matplotlib
xs, ys = ["Asha", "Ravi"], [90, 85]
print(list(zip(xs, ys)))
# matplotlib: plt.bar(xs, ys); plt.show()

Plotly + Matplotlib — output: [('Asha', 90), ('Ravi', 85)]. That data is what you plot.

Short notes

  • DefPlotly + Matplotlib is for charts/tables.
  • RuleTiny mental example: marks = {"Asha": 90, "Ravi": 85} → bar chart.
  • RememberPlotly + Matplotlib — output: [('Asha', 90), ('Ravi', 85)].

Questions

1

Explain Plotly + Matplotlib as if you are teaching a junior — definition, then one tiny script.

2

What does the example print, and why?

3

What mistake do freshers make with Plotly + Matplotlib?

Previous← dict.keys()NextPlotly + Pandas →
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