Hi,
Thank you for the patch!
> Next, for numpy arrays and pandas dataframes/series: these are
> converted to tables, for example:
>
> #+begin_src python
> import pandas as pd
> import numpy as np
>
> return pd.DataFrame(np.array([[1,2,3],[4,5,6]]),
> columns=['a','b','c'])
> #+end_src
>
> #+RESULTS:
> | | a | b | c |
> |---+---+---+---|
> | 0 | 1 | 2 | 3 |
> | 1 | 4 | 5 | 6 |
>
> To avoid conversion, you can specify "raw", "verbatim", "scalar", or
> "output" in the ":results" header argument.
Do we need to limit the table/list size by default, or handle them
only with relevant result type (e.g. `table/list')? Dataframe/array
are often large. The following results are truncated by default
previously, which can be tweaked via np.set_printoptions and
pd.set_option.
#+begin_src python
import numpy as np
return np.random.randint(10, size=(30,40))
#+end_src
#+begin_src python
import numpy as np
return np.random.rand(20,3,4,5)
#+end_src
#+begin_src python
import pandas as pd
import numpy as np
d = {'col1': np.random.rand(100), 'col2': np.random.rand(100)}
return pd.DataFrame(d)
#+end_src
> +def __org_babel_python_format_value(result, result_file, result_params):
> + with open(result_file, 'w') as f:
> + if 'graphics' in result_params:
> + result.savefig(result_file)
> + elif 'pp' in result_params:
> + import pprint
> + f.write(pprint.pformat(result))
> + else:
> + if not set(result_params).intersection(\
> +['scalar', 'verbatim', 'raw']):
> + try:
> + import pandas
> + except ImportError:
> + pass
> + else:
> + if isinstance(result, pandas.DataFrame):
> + result = [[''] + list(result.columns), None] + \
Here we can use '{}'.format(df.index.name) to show the name of index
> (defun org-babel-python-format-session-value
> (src-file result-file result-params)
> "Return Python code to evaluate SRC-FILE and write result to RESULT-FILE."
> - (format "\
> + (concat org-babel-python--def-format-value
> + (format "
Maybe `org-babel-python--def-format-value' can be evaluated only once
in the session mode? It would shorten the string sent to the python
shell, where temp files are used for long strings.
