/Python/Pandas df count values less than 0

Pandas df count values less than 0

In [96]:

df = pd.DataFrame({'a':randn(10), 'b':randn(10), 'c':randn(10)})
df
Out[96]:
          a         b         c
0 -0.849903  0.944912  1.285790
1 -1.038706  1.445381  0.251002
2  0.683135 -0.539052 -0.622439
3 -1.224699 -0.358541  1.361618
4 -0.087021  0.041524  0.151286
5 -0.114031 -0.201018 -0.030050
6  0.001891  1.601687 -0.040442
7  0.024954 -1.839793  0.917328
8 -1.480281  0.079342 -0.405370
9  0.167295 -1.723555 -0.033937

[10 rows x 3 columns]
In [97]:

df[df > 1.0].count()

Out[97]:
a    0
b    2
c    2
dtype: int64

Source: stackoverflow.com

Similar codes

2 votes106 views1 answer
Superscript print python
Python
-3 votes114 views1 answer
ValueError: With n_samples=0, test_size=0.2 and train_size=None, the resulting train set will be empty. Adjust any of the aforementioned parameters.
Python
1 vote95 views1 answer
Number of times a value occurs in dataframne
Python
0 vote142 views1 answer
Plural name django
Python
3 votes147 views1 answer
Python distance of coordinates
Python
0 vote105 views1 answer
Python time.sleep slow
Python
21 votes102 views6 answers
Make virtual environment python
Python
0 vote118 views1 answer
Ello
Python
1 vote113 views1 answer
5**5
Python
2 votes117 views3 answers
Request session python
Python