# ds1000 / 594

- taskset: [ds1000](https://harnessreport.com/tasks/ds1000.md)
- difficulty: 
- category: 
- language: 
- runnable from the site: no
- agent timeout: 1800s

## Results by harness

_none yet_

## Instruction

```
# 594: DS-1000 Task

## Prompt
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

df = pd.DataFrame(
    np.random.randn(50, 4),
    index=pd.date_range("1/1/2000", periods=50),
    columns=list("ABCD"),
)
df = df.cumsum()

# make four line plots of data in the data frame
# show the data points  on the line plot
# SOLUTION START

## What to do
- Edit `solution/solution.py` so the code passes the DS-1000 tests.
- Do not access the internet or install new packages; required libraries are preinstalled in the Docker image.
- Run tests locally via `bash tests/test.sh`.

## Notes
- Keep the variable names/signatures implied by the prompt/code_context.
- The evaluator uses the original DS-1000 `code_context` (`test_execution` / `test_string`).
```
---
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