[Tutor] Jupyternotebook set up

[Gary LaRose]

It appears you are printing value counts from a pandas dataframe column (series)

Check this stackoverflow post

https://stackoverflow.com/questions/19124601/pretty-print-an-entire-pandas-series-dataframe#30691921

Try option_context ( from above post )


with pd.option_context('display.max_rows', None):  # more options can be specified also
    print(cars.horsepower.value_counts())

Or try pd.option_context as above with:
print(cars[‘horsepower’].value_counts())


On Jan 27, 2020, at 8:11 PM, Olsen, Avalow Y <Yuanyuan.A.Olsen at healthpartners.com> wrote:

Hi All,

I am using Jupyter Notebook for Python programing through Anaconda.

Anaconda Navigator version = 1.9.7

Jupyter Notebook version= 6.0.2

When running the following code, presumably there are 6 entries with the value "Not available" in the frequency.  Since the output is a long list, the "Not available" value is omitted in the outcome pane by .. as shown below.

              cars.horsepower.value_counts()

                  150.0    22
      90.0     19
      110.0    19
      100.0    16
      88.0     14
               ..
      230.0     1
      107.0     1
      158.0     1
      137.0     1
      167.0     1
      Name: horsepower, Length: 85, dtype: int64

Here is the proof that "Not available " exists in the horsepower variable
cars.horsepower.value_counts().loc["Not available "]

      6

There are 6 entries with the value "Not available"


My question is how to setup Jupyter Notebook in order to let the whole list of values be shown like below?


                  150.0    22
      90.0     19
      110.0    19
      100.0    16
      88.0     14
      105.0    12
      95.0     10
      85.0      9
      70.0      8
      145.0     7
      Not available 6
      84.0      5
               ..
      230.0     1
      107.0     1
      158.0     1
      137.0     1
      167.0     1



Thank you in advance!
Ava



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