DOC: Update to docstring of pd.DataFrame(dtype) #14868
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| @@ -231,6 +231,23 @@ class DataFrame(NDFrame): | |||
| >>> df3 = DataFrame(np.random.randn(10, 5), | |||
| ... columns=['a', 'b', 'c', 'd', 'e']) | |||
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| Exceptional Behaviour | |||
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Personally, I am not convinced that these examples are needed in the DataFrame docstring
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@patniharshit Can you update? |
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yeah sure |
| @@ -231,6 +231,21 @@ class DataFrame(NDFrame): | |||
| >>> df3 = DataFrame(np.random.randn(10, 5), | |||
| ... columns=['a', 'b', 'c', 'd', 'e']) | |||
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| Leaving dtype=None in constructor will infer a wider type than necessary | |||
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can you show an a typical example of passing a dtype, with a single type, then multiple types, then this example.
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What do you mean by an example passing multiple types? Is that possible to pass in multiple types?
| month int64 | ||
| year int64 | ||
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| A list/dict/Series/array-like is not allowed. Also behaves differently to read_csv(dtype) |
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not sure what you are trying to show here, this is just confusing (after line 241)
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can you rebase / update |
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I am extremely sorry to say that I won't be able to complete this now. Either someone take this up or feel free to close/delete this. |
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thanks @patniharshit np problem. |
git diff upstream/master | flake8 --diffAll suggestions to improve this are welcome.