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Python · Theory

Plotly + Pandas

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Theory

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Plotly + Pandas

Plotly + Pandas 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 + Pandas — output — 87.5. DataFrame column mean — then you can plot df.

Exam tip

Pipeline in three words + one library name.

Example

# Plotly + Pandas
import pandas as pd
df = pd.DataFrame({"name": ["Asha", "Ravi"], "marks": [90, 85]})
print(df["marks"].mean())

Plotly + Pandas — output: 87.5. DataFrame column mean — then you can plot df.

Short notes

  • DefPlotly + Pandas is for charts/tables.
  • RuleTiny mental example: marks = {"Asha": 90, "Ravi": 85} → bar chart.
  • RememberPlotly + Pandas — output: 87.5.

Questions

1

Explain Plotly + Pandas 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 + Pandas?

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