About this deal
df . to_dict ( 'tight' ) {'index': ['row1', 'row2'], 'columns': ['col1', 'col2'], 'data': [[1, 0.5], [2, 0.75]], 'index_names': [None], 'column_names': [None]} I love the fact that they pump pushers, and not a screw-down pusher like some more modern iterations, as I found those to be cumbersome and annoying to use, having to unscrew them every time you want to use the chronograph function. will be converted to UNIX timestamps. Parameters : path_or_buf str, path object, file-like object, or None, default None But if you’re the kind of person who prefers everything uniform and the same, that might bug you a bit. Hands and Orient Logo Lastly, consider a padded exotic leather strap, such as a padded alligator strap, to emphasize the sporty nature of the strap. Since the watch is generally neutral in color, you can have a little fun with the colors.
result = df . to_json ( orient = "split" ) >>> parsed = loads ( result ) >>> dumps ( parsed , indent = 4 ) { "columns": [ "col 1", "col 2" ], "index": [ "row 1", "row 2" ], "data": [ [ "a", "b" ], [ "c", "d" ] ] }
I think for anyone with a 6 3/4″ wrist and above, the watch will most likely suit you very well. Or if you have smaller wrists and just prefer larger watches, that’ll be fine too. As fellow bloggers Two Broke Watch Snobs mentioned in their Neo70s review, the movement in this watch is a bit puzzling.
One of the premier timepieces in the panda dial watch category is undoubtedly Rolex’s Daytona Cosmograph timepiece. This is quite possibly one of the brand’s most luxurious timepieces and certainly fits the bill of what a high-end watch should be. This is also Rolex’s first-ever in-house automatic chronograph watch as it features their Caliber 4130 movement. pandas.DataFrame.to_dict # DataFrame. to_dict ( orient='dict', into=