<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 3960 entries, 2011-04-01 22:00:10 to 2011-04-02 09:00:00
Freq: 10S
Data columns (total 21 columns):
b3_01 2949 non-null values
b3_02 2949 non-null values
b3_03 2949 non-null values
b3_04 2949 non-null values
b3_05 2949 non-null values
b3_06 2949 non-null values
b3_07 2949 non-null values
b3_08 2949 non-null values
b3_09 2949 non-null values
b3_10 2949 non-null values
b3_11 2949 non-null values
b3_12 2949 non-null values
b3_13 2949 non-null values
b3_14 2949 non-null values
b3_15 2949 non-null values
b3_16 2949 non-null values
b3_17 2949 non-null values
b3_18 2949 non-null values
b3_19 2949 non-null values
b3_20 2949 non-null values
b3_21 2949 non-null values
dtypes: float64(21)
I am trying this:
pd.set_option('max_columns',200)
which seems to execute fine, but the display of head() still provides this:
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 5 entries, 2011-04-01 22:00:10 to 2011-04-01 22:00:50
Freq: 10S
Data columns (total 21 columns):
b3_01 5 non-null values
b3_02 5 non-null values
b3_03 5 non-null values
b3_04 5 non-null values
b3_05 5 non-null values
b3_06 5 non-null values
b3_07 5 non-null values
b3_08 5 non-null values
b3_09 5 non-null values
b3_10 5 non-null values
b3_11 5 non-null values
b3_12 5 non-null values
b3_13 5 non-null values
b3_14 5 non-null values
b3_15 5 non-null values
b3_16 5 non-null values
b3_17 5 non-null values
b3_18 5 non-null values
b3_19 5 non-null values
b3_20 5 non-null values
b3_21 5 non-null values
dtypes: float64(21)
I am using '0.11.0'
Am I missing something?
Cheers,
Michael