#### Category : floating-point

For example, I want to get "8" from 1227.827 and "4" from 8.46 using the same code. Is this possible to do? Source: Python..

I am trying to limit my decimal places to 2 while printing the value of Pi. Below is my expression after installing the match module in Anaconda Notebook x=math.pi print(float(x) (%2f)) Could you help fix the code/expression to print 3.14 Source: Python..

>>> .28 * 50 14.000000000000002 What’s going on here that its not just 14? I’ve been programming for a while but I don’t think I’ve ever covered the subject of why the number has a little error on it. I’m sure it’s some basic CS principle I’ve never learned. It’s same in Ruby, so I’ll ..

When declared an integer to a variable, both the integer and variable returns the same id value. But, in case of float, it returns a different id value. What is the reason behind it? As below, a=10 >>> id(a) 48068132 >>> id(10) 48068132 >>> b=10.1 >>> id(b) 50912320 >>> id(10.1) 50912336 Source: Python-3x..

I’ve been learning how to make a prediction model by looking at this step-by-step tutorial website: https://towardsdatascience.com/step-by-step-guide-building-a-prediction-model-in-python-ac441e8b9e8b The data I was using are the Covid-19 cases in Peru from last Jan to this Sep, and with this data, I want to predict death cases from this Oct to Dec. However, the “New Cases” data type ..

Is there a way to suppress scientific notation in Panda’s outputs without forcing a particular precision across all columns? So that a data frame: import pandas as pd df = pd.DataFrame({"a": [0.01, 0.02, 0.03], "b": [0.0000001, 0.0000002, 0.0000003]}) df.to_csv( "df.csv", index=False, ) That initially would be outputted as: a b 0.01 1.00E-07 0.02 2.00E-07 0.03 ..

As far as i’ve understood, the random module has a set of methods, among which both uniform() and triangular() return a random float number between two given parameters. Is there no difference between them? Is there any specific case in which we should use one over the other? Source: Python..