Plot chart with CSV files containing labels-CodePudding

I am trying to create a function that plots a chart from a CSV file that contains labels:

LVL,Highscore
2,6013
2,5934
1,132
3,9560
4,13406

This is the code snippet I tried:

from matplotlib import style
import numpy as np
import csv

def plot():
    style.use('ggplot')

    x, y = np.loadtxt(
        'highscore.csv',
         unpack=True,
         skiprows=1,
         usecols=1,
         delimiter=','
    )

plot()

And this is the traceback error I'm getting:

Traceback (most recent call last):
  File "C:/Users/User/PycharmProjects/FinalYearProject/anothertest.py", line 28, in <module>
    plot()
  File "C:/Users/User/PycharmProjects/FinalYearProject/anothertest.py", line 18, in plot
    x, y = np.loadtxt('highscore.csv', unpack=True,
  File "C:\Users\User\PycharmProjects\FinalYearProject\venv\lib\site-packages\numpy\lib\npyio.py", line 1148, in loadtxt
    for x in read_data(_loadtxt_chunksize):
  File "C:\Users\User\PycharmProjects\FinalYearProject\venv\lib\site-packages\numpy\lib\npyio.py", line 992, in read_data
    vals = [vals[j] for j in usecols]
  File "C:\Users\User\PycharmProjects\FinalYearProject\venv\lib\site-packages\numpy\lib\npyio.py", line 992, in <listcomp>
    vals = [vals[j] for j in usecols]
IndexError: list index out of range

I attempted to resolve it by using the parameter usecols=1 and skiprows=1, but it still doesn't seem to work.

CodePudding user response：

Not sure if I completely understand your question, but I don't think you need usecols.

>>> import numpy as np
>>> x, y = np.loadtxt('highscore.csv', unpack=True,  skiprows=1, delimiter=',')

>>> print(x)

[2., 2., 1., 3., 4.]

>>> print(y)

[ 6013.,  5934.,   132.,  9560., 13406.]

You can then proceed to plot the data. I am not sure which plot you expect, but a scatter plot seems most suitable here

>>> import matplotlib.pyplot as plt
>>> from matplotlib import style

>>> plt.style.use('ggplot')

>>> plt.scatter(x, y)
>>> plt.show()

Which will make this plot:

Does this answer your question?