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### Checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pypi.org/project/polars/) of Polars.
### Re…
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@ronisbr - I open this issue to keep track of to-do related to PrettyTables.jl:
1. coverage of show.jl is quite poor now: https://codecov.io/gh/JuliaData/DataFrames.jl/tree/master/src/abstractdatafra…
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The function should not covertly save the dataframe along with returning it. Dont save it. This function also does the (helpful) overwrite of the column names of results[0]['popfreqs'] with sensible n…
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This would be immensely useful for the GPU data science community as it would start to enable pipelines fully on GPU.
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This class needs to inherit from pandas dataframes, but allows more intuitive manipulation of multi-index dataframes that hides a lot of ugly hacks from the user. For example, the merging of two chunc…
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If one creates a `named_array = NamedArray(values_vector; names = (names_vector,))` then the `keytype(named_array.dicts[1]) == eltype(names_vector)`. This seems reasonable on its face, *except* when t…
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Construction could be more concise and more like NamedTuples or DataFrames.
```julia
x = PropDict(a = PropDict(b = 7, c = 5, d = 2), e = "foo")
```
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compdat2df returns three dataframes (COMPDAT, COMPSEGS, and WELSEGS), these are related and there should be possibilities for merging these together sensibly.
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## Polars Python code
```python
import polars as pl
df = pl.DataFrame({
'DateTime': [
'2018-02-01 00:00:00', '2018-02-02 00:00:00',
'2018-02-03 00:00:00', '2018-02-04 00:…
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Code to reproduce the error:
```python
import pandas as pd
from datetime import datetime
dfs = {
'full_df': pd.DataFrame([
{'int': 1, 'date': datetime.now(), 'str': 'foo', 'float…