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1

I am running script in the Spyder IPython console as below:

In [12]: mydf['logintimes'].count()
Out[12]: 40

As I import several modules:

import numpy
import pandas
import matplotlib
import scipy.stats

Is count() a python function, pandas function or numpy function?

I tried Ctrl+I in Spyder, but no documentation was available.

python python-3.x

share|improve this question

edited Mar 26 at 3:59

Pikachu the Parenthesis Wizard

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asked Mar 26 at 2:31

kittygirlkittygirl

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add a comment | 

1

I am running script in the Spyder IPython console as below:

In [12]: mydf['logintimes'].count()
Out[12]: 40

As I import several modules:

import numpy
import pandas
import matplotlib
import scipy.stats

Is count() a python function, pandas function or numpy function?

I tried Ctrl+I in Spyder, but no documentation was available.

python python-3.x

share|improve this question

edited Mar 26 at 3:59

Pikachu the Parenthesis Wizard

2,16888 gold badges1717 silver badges2929 bronze badges

asked Mar 26 at 2:31

kittygirlkittygirl

60211 gold badge66 silver badges1818 bronze badges

add a comment | 

I am running script in the Spyder IPython console as below:

In [12]: mydf['logintimes'].count()
Out[12]: 40

As I import several modules:

import numpy
import pandas
import matplotlib
import scipy.stats

Is count() a python function, pandas function or numpy function?

I tried Ctrl+I in Spyder, but no documentation was available.

python python-3.x

share|improve this question

edited Mar 26 at 3:59

Pikachu the Parenthesis Wizard

2,16888 gold badges1717 silver badges2929 bronze badges

asked Mar 26 at 2:31

kittygirlkittygirl

60211 gold badge66 silver badges1818 bronze badges

In [12]: mydf['logintimes'].count()
Out[12]: 40

import numpy
import pandas
import matplotlib
import scipy.stats

share|improve this question

edited Mar 26 at 3:59

Pikachu the Parenthesis Wizard

2,16888 gold badges1717 silver badges2929 bronze badges

asked Mar 26 at 2:31

kittygirlkittygirl

60211 gold badge66 silver badges1818 bronze badges

share|improve this question

edited Mar 26 at 3:59

Pikachu the Parenthesis Wizard

2,16888 gold badges1717 silver badges2929 bronze badges

asked Mar 26 at 2:31

kittygirlkittygirl

60211 gold badge66 silver badges1818 bronze badges

edited Mar 26 at 3:59

Pikachu the Parenthesis Wizard

2,16888 gold badges1717 silver badges2929 bronze badges

edited Mar 26 at 3:59

Pikachu the Parenthesis Wizard

2,16888 gold badges1717 silver badges2929 bronze badges

asked Mar 26 at 2:31

kittygirlkittygirl

60211 gold badge66 silver badges1818 bronze badges

asked Mar 26 at 2:31

kittygirlkittygirl

60211 gold badge66 silver badges1818 bronze badges

2 Answers
2

active

oldest

votes

1

U9-Forward is correct, you should normally know it.
However, thanks to python's introspection features, you can also retrieve that information from the objects themselves:

>>> s = pandas.Series([1, 2, 3, 4, 5])
>>> s.count.__qualname__
'Series.count'
>>> s.count.__module__
'pandas.core.series'

Or for built-in list object, note the lack of __module__.

>>> l = [1, 2, 3, 4, 5]
>>> l.count.__qualname__
'list.count'
>>> l.count.__module__

share|improve this answer

answered Mar 26 at 2:45

spectrasspectras

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add a comment | 

1

You have to know it, it is a python function and also a pandas function, you can see it by this:

>>> l = [1, 2, 3, 3]
>>> l.count(3) # python function
2

And a pandas function:

>>> s = pd.Series([1, 2, 3, 3])
>>> s.count()
4

share|improve this answer

answered Mar 26 at 2:36

U10-ForwardU10-Forward

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add a comment | 

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1

U9-Forward is correct, you should normally know it.
However, thanks to python's introspection features, you can also retrieve that information from the objects themselves:

>>> s = pandas.Series([1, 2, 3, 4, 5])
>>> s.count.__qualname__
'Series.count'
>>> s.count.__module__
'pandas.core.series'

Or for built-in list object, note the lack of __module__.

>>> l = [1, 2, 3, 4, 5]
>>> l.count.__qualname__
'list.count'
>>> l.count.__module__

share|improve this answer

answered Mar 26 at 2:45

spectrasspectras

8,19111 gold badge1717 silver badges3535 bronze badges

add a comment | 

1

U9-Forward is correct, you should normally know it.
However, thanks to python's introspection features, you can also retrieve that information from the objects themselves:

>>> s = pandas.Series([1, 2, 3, 4, 5])
>>> s.count.__qualname__
'Series.count'
>>> s.count.__module__
'pandas.core.series'

Or for built-in list object, note the lack of __module__.

>>> l = [1, 2, 3, 4, 5]
>>> l.count.__qualname__
'list.count'
>>> l.count.__module__

share|improve this answer

answered Mar 26 at 2:45

spectrasspectras

8,19111 gold badge1717 silver badges3535 bronze badges

add a comment | 

U9-Forward is correct, you should normally know it.
However, thanks to python's introspection features, you can also retrieve that information from the objects themselves:

>>> s = pandas.Series([1, 2, 3, 4, 5])
>>> s.count.__qualname__
'Series.count'
>>> s.count.__module__
'pandas.core.series'

Or for built-in list object, note the lack of __module__.

>>> l = [1, 2, 3, 4, 5]
>>> l.count.__qualname__
'list.count'
>>> l.count.__module__

share|improve this answer

answered Mar 26 at 2:45

spectrasspectras

8,19111 gold badge1717 silver badges3535 bronze badges

>>> s = pandas.Series([1, 2, 3, 4, 5])
>>> s.count.__qualname__
'Series.count'
>>> s.count.__module__
'pandas.core.series'

>>> l = [1, 2, 3, 4, 5]
>>> l.count.__qualname__
'list.count'
>>> l.count.__module__

share|improve this answer

answered Mar 26 at 2:45

spectrasspectras

8,19111 gold badge1717 silver badges3535 bronze badges

answered Mar 26 at 2:45

spectrasspectras

8,19111 gold badge1717 silver badges3535 bronze badges

answered Mar 26 at 2:45

spectrasspectras

8,19111 gold badge1717 silver badges3535 bronze badges

1

You have to know it, it is a python function and also a pandas function, you can see it by this:

>>> l = [1, 2, 3, 3]
>>> l.count(3) # python function
2

And a pandas function:

>>> s = pd.Series([1, 2, 3, 3])
>>> s.count()
4

share|improve this answer

answered Mar 26 at 2:36

U10-ForwardU10-Forward

24.4k55 gold badges1919 silver badges4747 bronze badges

add a comment | 

1

You have to know it, it is a python function and also a pandas function, you can see it by this:

>>> l = [1, 2, 3, 3]
>>> l.count(3) # python function
2

And a pandas function:

>>> s = pd.Series([1, 2, 3, 3])
>>> s.count()
4

share|improve this answer

answered Mar 26 at 2:36

U10-ForwardU10-Forward

24.4k55 gold badges1919 silver badges4747 bronze badges

add a comment | 

You have to know it, it is a python function and also a pandas function, you can see it by this:

>>> l = [1, 2, 3, 3]
>>> l.count(3) # python function
2

And a pandas function:

>>> s = pd.Series([1, 2, 3, 3])
>>> s.count()
4

share|improve this answer

answered Mar 26 at 2:36

U10-ForwardU10-Forward

24.4k55 gold badges1919 silver badges4747 bronze badges

>>> l = [1, 2, 3, 3]
>>> l.count(3) # python function
2

>>> s = pd.Series([1, 2, 3, 3])
>>> s.count()
4

share|improve this answer

answered Mar 26 at 2:36

U10-ForwardU10-Forward

24.4k55 gold badges1919 silver badges4747 bronze badges

answered Mar 26 at 2:36

U10-ForwardU10-Forward

24.4k55 gold badges1919 silver badges4747 bronze badges

answered Mar 26 at 2:36

U10-ForwardU10-Forward

24.4k55 gold badges1919 silver badges4747 bronze badges