I want to limit a number to be within a certain range. Currently, I am doing the following: minN = 1 maxN = 10 n = something() #some return value from a function n = max(minN, n) n = min(maxN, n)

Jul 30, 2016 · You can use the between Series method: In [11]: s[s.between(-1, 1)] Out[11]: 0 -0.256117 1 0.879797 3 -0.711397 4 -0.400339 5 0.667196 ... Note: This discards the values outside of the between range.

numpy.clip is a good, fast alternative. From v0.21 onwards, you can also use DataFrame.clip_upper. This method (along with clip_lower) has been deprecated from v0.24 and will be removed in a future version. In similar vein, if you only want to set the lower bound, use DataFrame.clip_lower. These methods are also avaliable on Series objects.

Mar 11, 2025 · One of the simplest and most effective ways to clamp a number within a range in Python is by using the built-in max() and min() functions. This method is both readable and efficient. The idea is to first use the max() function to ensure that the number is not less than the minimum value of the range.

Dec 6, 2024 · Discover effective ways to clamp a number to a specified range in Python, improving clarity and efficiency in your code.

In Python programming, value clamping is a crucial technique for constraining numeric values within a specific range. This tutorial explores comprehensive methods to limit and control numeric data, ensuring your Python code handles numeric ranges with precision and reliability.

Return Series/DataFrame with requested index / column level(s) removed. dropna (*[, axis, inplace, how, ignore_index]) Return a new Series with missing values removed.

Feb 1, 2024 · In NumPy, use the np.clip () function or the clip () method of ndarray to limit array values to a specified range, replacing out-of-range values with the specified minimum or maximum value. numpy.clip ...

Apr 10, 2020 · For loop with an if statement and a break. Or a while loop. A circular buffer may be useful depending on how your data is coming in and what you want it for. last[idx] = i. idx += 1. idx %= max_size. This will keep the last max_size number of elements in the list.

Nov 16, 2018 · Pandas dataframe.clip() is used to trim values at specified input threshold. We can use this function to put a lower limit and upper limit on the values that any cell can have in the dataframe. Syntax: DataFrame.clip (lower=None, upper=None, axis=None, inplace=False, *args, **kwargs) lower : Minimum threshold value.