Curve fitting in python compared to excel (variance in results) Question: I am fairly new to python, while I have used matlab quite a bit before. Currently I am trying to do an exponential curve fit to a semi logarithmic plot. Down below is the code I’ve currently got. import numpy as np import matplotlib.pyplot …
I can't fit an exponential function in a data set Question: I have a data set from a laboratory that I did in which I studied the characteristics of current and voltage in a solar panel. The data is a bit inconsistent but it is visible that it is an exponential function. I need to …
How to run an exponential function with sympy.Symbol? Question: I am trying to plot a Piecewise Defined Function in Python. I have figured out how to get it to plot, however, one of the formulas in the Piecewise reads: 4 e^(0.1x)sin(2 x) X E [−10 ,- ] I tried including the Exponential function of it …
exponential representation of Year using sns.lineplot Question: I need to plot a line graph for the Year 2019 and 2020 and I achieved it using sns.barplot but like I mentioned I need to display this using a line graph dfyear=df[(df[‘Year’] == 2019) | (df[‘Year’] == 2020)] sns.lineplot(data=dfyear, x="Year", y="How_many_Landed_on_the_our_Page_and_clicked_on_a_button?", hue="Which_Place_in_India?") for which the problem that …
python – weird results with exponent operator in idle Question: I’m getting a strange result when squaring -1 in idle. What’s going on? Unexpected result: >>>| -1 ** 2 >>>| -1 Expected result: >>>| pow(-1,2) >>>| 1 >>>| my_var = -1 >>>| my_var **= 2 >>>| my_var >>>| 1 Asked By: user1026169 || Source Answers: …
Scaling numpy exponential random generator Question: I am trying to create random numbers that follow the exponential distribution. The numbers should be between 0 and 18353. I am using the following code: np.random.exponential(2400, 400) which means that the output has 400 numbers and the scale parameter is 2400. However, 2400 is my estimation of the …
Scientific Notation precision normalizing Question: My goal is simply to convert a string such as “1.2” to scientific notation without adding additional precision. The problem is that I always end up with superfluous 0s at the end of my output. >>> input = “1.2” >>> print ‘{:e}’.format(float(input)) 1.200000e+00 I’m trying to figure out how to …
