python - How can I convert this pandas.series result to integer? - Stack Overflow

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I've got a column ['Duration] which is an int datatype. I'm now trying to find out the most occurencing ['Duration'] in a pandas dataframe.

  duration = (inter['duration'].mode())
  print(duration)

Result:

  0    94
  Name: duration, dtype: int64      

The answer is right, but the datatype is wrong. It should be an integer When I ran type function over the duration variable it shows this

  type(duration)

Result:

  pandas.core.series.Series

The variable 'duration' should be an integer and not pandas.series. How can I convert it to that?

I've got a column ['Duration] which is an int datatype. I'm now trying to find out the most occurencing ['Duration'] in a pandas dataframe.

  duration = (inter['duration'].mode())
  print(duration)

Result:

  0    94
  Name: duration, dtype: int64      

The answer is right, but the datatype is wrong. It should be an integer When I ran type function over the duration variable it shows this

  type(duration)

Result:

  pandas.core.series.Series

The variable 'duration' should be an integer and not pandas.series. How can I convert it to that?

• python
• pandas
• dataframe
• type-conversion

Share Improve this question Follow edited Jan 22 at 13:46 jps 22.5k1616 gold badges8888 silver badges104104 bronze badges asked Jan 22 at 13:25 user234568user234568 81544 gold badges1414 silver badges2525 bronze badges

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1 Answer 1

Sorted by: Reset to default 1

There can be more than one value that is the mode.

inter = pd.DataFrame({'duration': [1, 2, 3, 1, 1, 2, 2]})
inter['duration'].mode()

# 0    1
# 1    2
# Name: duration, dtype: int64

If you want to pick the first one, just slice:

inter['duration'].mode().iloc[0]

Example:

inter = pd.DataFrame({'duration': [1, 2, 3, 1, 1, 3, 2]})
inter['duration'].mode().iloc[0]

# 1

Otherwise, you will need to decide what to do with the multiple values (e.g. aggregate them as the mean if this makes sense).

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