Suppress Scientific Format in a Dataframe Column

python pandas dataframe scientific-notation
iprof0214 picture iprof0214 · Apr 19, 2018 · Viewed 22.1k times · Source

I have a column called accountnumber with values similar to 4.11889000e+11 in a pandas dataframe. I want to suppress the scientific notation and convert the values to 4118890000. I have tried the following method and did not work. 

df = pd.read_csv(data.csv)
pd.options.display.float_format = '{:,.3f}'.format

Please recommend.

Answer

user1319128 picture user1319128 · Apr 19, 2018

You don't need the thousand separators "," and the 3 decimals for the account numbers.

Use the following instead. 

pd.options.display.float_format = '{:.0f}'.format

Related questions

How to change the format of .describe() output?

I put .describe() to a Dataframe, the output doesn't look nice. I want the output to show the whole number and not be simplified with exponentials. Input: df["A"].describe() How the output looks like: count 6.000000e+01 mean 7.123568e+04 std 2.144483…

Read More
How to select rows from a DataFrame based on column values

How can I select rows from a DataFrame based on values in some column in Pandas? In SQL, I would use: SELECT * FROM table WHERE colume_name = some_value I tried to look at Pandas' documentation, but I did not …

Read More
Renaming columns in pandas

I have a DataFrame using pandas and column labels that I need to edit to replace the original column labels. I'd like to change the column names in a DataFrame A where the original column names are: ['$a', '$…

Read More