# ds1000 / 212

- 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

```
# 212: DS-1000 Task

## Prompt
Problem:
I have the following dataframe:
  key1  key2
0    a   one
1    a   two
2    b   one
3    b   two
4    a   one
5    c   two

Now, I want to group the dataframe by the key1 and count the column key2 with the value "one" to get this result:
  key1  count
0    a      2
1    b      1
2    c      0

I just get the usual count with:
df.groupby(['key1']).size()

But I don't know how to insert the condition.
I tried things like this:
df.groupby(['key1']).apply(df[df['key2'] == 'one'])

But I can't get any further.  How can I do this?

A:
<code>
import pandas as pd


df = pd.DataFrame({'key1': ['a', 'a', 'b', 'b', 'a', 'c'],
                   'key2': ['one', 'two', 'one', 'two', 'one', 'two']})
</code>
result = ... # put solution in this variable
BEGIN SOLUTION
<code>

## 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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