pandas pd.options.display.max_rows not working as expected

Final answer as of pandas v0.25.1

• To display all the rows, set max_rows greater than the number of rows in the DataFrame.
• To display more than 10 rows when the dataframe is truncated, set min_rows greater than 10.
• With more than 200 rows of data, if max_rows is 200 and min_rows is 20, 10 from the head and 10 from the tail will be displayed.
• With more than 200 rows of data, if max_rows is 200 and min_rows is None, 100 from the head and 100 from the tail will be displayed.

Discovery & Notes:

Both pd.set_option('display.max_rows', x) and pd.options.display.max_rows = x (where x is some number), should work.

• FYI: the default is 10 rows, as per pandas.set_option
• Options and settings
• This is also in Jupyter Lab

Other useful pandas options:

pd.set_option('display.max_columns', 200)
pd.set_option('display.max_rows', 100)
pd.set_option('display.min_rows', 100)
pd.set_option('display.expand_frame_repr', True)

get.options to return the current value:

pd.get_option("display.max_rows")

Update:

• After some discovery testing, the setting only displays more rows, if the setting is greater than the number of rows in the DataFrame.
• If pd.set_option('display.max_rows', 100), but the DataFrame has 200 rows, only 10 will show up.
• If pd.set_option('display.max_rows', 200), but the DataFrame has 100 rows, all 100 will display.

Per the pandas docs:

• display.max_rows: default=60
• This sets the maximum number of rows pandas should output when printing out various output. For example, this value determines whether the repr() for a dataframe prints out fully or just a truncated or summary repr. ‘None’ value means unlimited.
• display.min_rows: default=10
• The numbers of rows to show in a truncated repr (when max_rows is exceeded). Ignored when max_rows is set to None or 0. When set to None, follows the value of max_rows.
• display.large_repr: default=truncate
• For DataFrames exceeding max_rows/max_cols, the repr (and HTML repr) can show a truncated table (the default), or switch to the view from df.info() (the behaviour in earlier versions of pandas). allowable settings, [‘truncate’, ‘info’]