Unicode text table output from pandas dataframe: turns string objects into numbers and changes their representation about pytablewriter

[thombashi]

@mjb-v9-5-2
Thank you for your feedback.

The problems that you described are fixed for certain values at pytablewriter 0.62.0:

import pandas as pd
import pytablewriter as ptw

writer = ptw.UnicodeTableWriter(
    dataframe=pd.DataFrame(
        {"realnumber": ["0.000000000000001", "0.000000000000002"], "long": ["1,000,000,000,000", "1"]}
    ),
    margin=1,
    column_styles=[
        ptw.style.Style(thousand_separator=","),
        ptw.style.Style(thousand_separator=","),
    ]
)
writer.write_table()

┌───────────────────┬───────────────────┐
│    realnumber     │       long        │
├───────────────────┼───────────────────┤
│ 0.000000000000001 │ 1,000,000,000,000 │
├───────────────────┼───────────────────┤
│ 0.000000000000002 │                 1 │
└───────────────────┴───────────────────┘

However, in the case of mixed decimal place values, the problem still exists as before:

import pandas as pd
import pytablewriter as ptw

writer = ptw.UnicodeTableWriter(
    dataframe=pd.DataFrame(
        {"realnumber": ["0.000000000000001", "0.1"], "long": ["1,000,000,000,000", "1"]}
    ),
    margin=1,
    column_styles=[
        ptw.style.Style(thousand_separator=","),
        ptw.style.Style(thousand_separator=","),
    ]
)
writer.write_table()

┌─────────────┬───────────────────┐
│ realnumber  │       long        │
├─────────────┼───────────────────┤
│ 0.000000000 │ 1,000,000,000,000 │
├─────────────┼───────────────────┤
│ 0.100000000 │                 1 │
└─────────────┴───────────────────┘

I will also fix this in the future version.

[thombashi]

The problem fixed at pytablewriter 0.63.0