How to handle error unsupported operand type(s)-CodePudding

There is lists :

l_figure_s= [5, 9,  21, 25, 30, 34, 43]
l_figure_e= [8, 16, 24, 28, 33, 37, 46]

Of lists created dataframe :

df1 = pd.DataFrame.from_dict({'starts':l_figure_s,'ends':l_figure_e},dtype=int,orient='index').transpose()

You need to check elements by condition:

df1[ df1['starts']<df1['ends'] & df1['starts'].shift(-1)>=df['ends'] ]

The error occurs on the last line, I think the interpreter sees this condition : Nan >= 46

How to exclude condition check beyond the last line ?

Maybe you need a calculator for df['ends'] ?

CodePudding user response：

You have to use parenthesis:

df1[(df1['starts']<df1['ends']) & (df1['starts'].shift(-1)>=df1['ends'])]

EDIT: As @mozway says in the comments section, it is called "operator precedence"

CodePudding user response：

1st adding () 2nd change df to df1

out = df1[ (df1['starts']<df1['ends']) & (df1['starts'].shift(-1)>=df1['ends']) ]
Out[410]: 
   starts  ends
0       5     8
1       9    16
2      21    24
3      25    28
4      30    33
5      34    37