I posted earlier today with a question about a script I'm working on here. I now have things working, but I need to plot my data and am running into issues. No matter which method of plotting I try, I never get a plot. The 'closest' I've gotten is using
hitTable.plot(x='qty', y='probit'), which just returns
<AxesSubplot:xlabel='qty'> and no plot.
Simplified code is below, which replaces the original import of data from .csv, data manipulation, calculations, etc. with a direct reconstruction of the dataframe I'm working with.
import os import pandas as pd import numpy as np import matplotlib.pyplot as plt import statsmodels as sm from scipy.stats import norm from tkinter import filedialog from tkinter import * # initialize tkinter root = Tk() root.withdraw() # bunch of code that was omitted for clarity qtys = [1,10,20,50,100] prop = [0.07142857142857142, 0.14285714285714285, 0.35714285714285715, 0.9285714285714286, 1.0] probit =  * len(qtys) # had to use this instead of creating the array, as the last value of the probit vector is 'inf' which throws an error if you try to include it directly for idx, val in enumerate(qtys): probit[idx] = 5 + norm.ppf(prop[idx]) hitTable = np.vstack([qtys,prop,probit]) hitTable = np.reshape(hitTable, (3,5)) hitTable = hitTable.T hitTable = pd.DataFrame(hitTable) hitTable.columns=['qty','probability','probit'] hitTable.plot(x='qty', y='probit')
Which results in the aforementioned (and undesired)
<AxesSubplot:xlabel='qty'>. I'm just trying to get an X,Y scatter plot of points where the X-values are the values contained in
qtys and the y-values are those in
probit. Can anyone help?
P.S. matplotlab is a dumpster fire