How to change the display value format from float value to whole number in sparkline chart?
Date : March 29 2020, 07:55 AM
will help you I am using the sparkline chart in one of my project where i am displaying the admin some statistics. My problem is the values which i am providing to the sparkline chart are integer/whole numbers but it is displaying them in float format. , I finally found it by doing some random stuff changes .xTickFormat(function (d) {
//console.log(new Date(data[d].x));
return d3.time.format('%x')(new Date(data[d].x))
})
.yTickFormat(function () {
return d3.format(',f')
})
|
How to format the float number to decimal number(7) using javascript?
Date : March 29 2020, 07:55 AM
it fixes the issue 3.300000 has 6 decimal places because of the code rounded one 0 to place the 3. try this: var value = 3;
var n = value.tofixed(7);
var value2 = 3.30;
var n = value2.tofixed(7);
|
Pandas data frame. Change float format. Keep type "float"
Date : March 29 2020, 07:55 AM
wish helps you I'm trying to change a format of pd data frame column without changing the type of data. Here is what I have: df = pd.DataFrame({'Age': [24.0, 32.0}]) , Your dataFrame itself a type float. Dataframe: >>> df
Age
0 24.0
1 32.0
>>> df.dtypes
Age float64
dtype: object
>>> df.Age
0 24.0
1 32.0
Name: Age, dtype: float64
>>> df['Age'].dtype.kind
'f'
>>> df['Age'].map('{:,.2f}'.format)
0 24.00
1 32.00
Name: Age, dtype: object
>>> pd.set_option('display.float_format','{:.0f}'.format)
>>> df
Age
0 24
1 32
>>> df.dtypes
Age float64
dtype: object
>>> pd.set_option('display.float_format','{:.2f}'.format)
>>> df
Age
0 24.00
1 32.00
>>> df.dtypes
Age float64
dtype: object
>>> pd.set_option('precision', 0)
>>> df
Age
0 24
1 32
>>> df.dtypes
Age float64
dtype: object
|
How to convert string (22.123) format number into float variable format without using any API in c++
Date : October 14 2020, 12:44 PM
|
Format number if the function returned a number and its a float
Tag : ruby , By : alchemist
Date : March 29 2020, 07:55 AM
|