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#### Code Sample, a copy-pastable example if possible
```python
In [62]: import pandas as pd
In [63]: import numpy as np
In [64]: df = pd.DataFrame(data=[['data1', 2, np.nan], ['data2', 3, 4…
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API
```go
john := Person{name: "John", age: 25}
doe := Person{name: "Doe", age: 30}
wick := Person{name: "Wick", age: 25}
input := []Person{
john,
doe,
wick,
}
var output map[…
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`Error: 10 $digest() iterations reached. Aborting!`
i get this when using groupBy as a filter on a small set of data (20-30 items)
``` html
{{place_type}}
```
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It will be nice for the groupby ARGMAX/ARGMIN operation to take a 3rd "k" argument so I can ask for the top K instead of just the top 1.
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### Bug description
I encountered an issue while running the code in the getting-started-movielens folder on my Kaggle notebook. I successfully completed the "Download and Convert" notebook, but I …
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DF.jl grouping is faster. Maybe it does column-oriented instead of rows or something, I think you mentioned an Accessors.jl way to do column ops?
```jl
using DataFrames, StructArrays, FlexiGroups,…
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Dragonfly does not parse the following command:
```
FT.AGGREGATE index "*" GROUPBY 0 REDUCE COUNT 0 AS count SORTBY 2 @count DESC MAX 100
```
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## Problem
There are a number of cases , where we are using Prisma.**.findMany .But are unable to group the results in the same query .
## Suggested solution
GroupBy should be added in findM…
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apologies if this counts as a duplicate of https://github.com/jmcarpenter2/swifter/issues/202
setting up the data:
```index = pd.MultiIndex.from_tuples([(i, j, k) for i in range(11) for j in range…