Comments (5)
I have never used this style, nor have I seen others chaining immediately after read_*
I am not an expert, I will like to know what does the community think about it.
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Currently not possible, it also is unclear to me why an inplace=True
kwarg is needed for the pyjanitor family of functions. Every method chained function returns a dataframe, which means all we have to do is to assign the returned dataframe to a variable name.
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"inplace" parameter is not really needed. But I suggested it because a lot of pandas methods use it and clean_function will look like a native pandas method with this.
Which one of these 2 statements look more pythonic?
df=df.clean_names()
df.clean_names(inplace=True)
I guess the user should have both the options available.
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@shantanuo the expected use case of .clean_names()
is usually after the data frame is constructed. Hence the examples:
df = (
pd.read_csv(...)
.clean_names()
# chain more functions down here
)
These design of these functions is such that they should be chained, as opposed to being used on single lines.
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No worries, good to know. Btw, if you're interested in reading more of why I decided to put pyjanitor
together, and develop it with the rest of the community, here's a document I'm working on: https://github.com/ericmjl/pyjanitor/blob/whitepaper/paper/manuscript.md
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Related Issues (20)
- RuntimeWarning: subpackages can technically be lazily loaded HOT 16
- explode_levels
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- extend `row_to_names` to support multiindex
- `sheet_name` not required in jn.xlsx_table
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