BUG: Series not correctly formatted in truncated output

[jorisvandenbossche]

Overview of the issues:

• Number of rows is incorrect (Incorrect truncating of Series according to max_rows #7508)
• Setting pd.options.display.max_rows to larger values has no effect (Incorrect truncating of Series according to max_rows #7508 (comment))
• formatting seems to occur seperately for both parts (this issue BUG: Series not correctly formatted in truncated output #8532, see two exaples below)

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When a Series gets truncated, it seems that both parts are formatted separately, with the consequence that eg:

• the float formatting can be different in both parts
• the alignment (depending on the width of the index) is different in both parts

Note that this is not the case with a DataFrame

In [44]: s = pd.Series([1,1,1,1,1,1,1,1,1,1,0.9999,1,1]*10)

In [45]: pd.options.display.max_rows = 10

In [46]: s
Out[46]:
0    1
1    1
2    1
...
127    0.9999
128    1.0000
129    1.0000
Length: 130, dtype: float64

In [47]: s.to_frame()
Out[47]:
          0
0    1.0000
1    1.0000
2    1.0000
3    1.0000
4    1.0000
..      ...
125  1.0000
126  1.0000
127  0.9999
128  1.0000
129  1.0000

[130 rows x 1 columns]

[jorisvandenbossche]

@bjonen if you would be interested

related #7508 about incorrect number of elements in truncated view (which you can also see in the example above)

[jreback]

cc @bjonen can you tackle?

[bjonen]

I won't have time for the next two weeks. After that I'm happy to take a look.

[bjonen]

@jreback Is this the main priority right now?

[jreback]

@bjonen this would be nice to fix! thanks