root_pandas

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Parallel processing

1

Is parallel processing possible in root_pandas? If yes then how can I do it?

shahidzk1

Problem with saving DataFrames to root files when they contain dtype object

8

Hi, i have several textfiles with strings and floats in them. I can load them into a panda dataframe nicely. I also need to save them in root format and...

FerdinandEiteneuer

Use array notation with noexpand:

7

Currently, array branches are missed with using `noexpand:` because using array indicies leaves everything in a list of `len == 1`. These commits address this issue. e.g. ``` python df...

natfarleydev

write strings

1

I guess this is connected with #38 but I am using a quite newer version of pandas (0.20.3) df = pandas.DataFrame({"x": [10, 20, 30], "y": ['ten', 'twenty', 'thirty']}) print df.dtypes...

wiso

This is an awesome tool! Considering that HEP data typically has variable number of objects and has a natural division of data (an event) it would be nice if this...

naodell

Flattening two branches produces only one `__array_index`

5

I have a tree with DecayTreeFitter and when I retrieve two array variables and use the `flatten=True` option with the `read_root` function, the resulting dataframe only contains a single `__array_index`...

natfarleydev