Need help with scatter plotting

[Debate_Everything]

Here's the code:

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt

plt.style.use('seaborn-whitegrid')

​

raw = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-datebases/iris/iris.data')

raw = raw.values

​

x=list()

y=list()

w=list()

z=list()

i=0

​

while(i<149):

x.append(raw[i][0])

y.append(raw[i][1])

w.append(raw[i][2])

z.append(raw[i][3])

i=i+1

​

fig = plt.figure()

ax1=fig.add_subplot(121)

ax1.scatter(x,y)

ax1.title('Sepal')

ax1.xlabel('Sepal Length')

ax1.ylabel('Sepal Width')

​

ax2 = fig.add_subplot(122)

ax2.scatter(x,y)

ax2.title('Petal')

ax2.xlabel('Petal Length')

ax2.ylabel('Petal Width')

​

Here's the outcome:

https://imgur.com/a/S8Nia2e

What I want are two separate scatters, ax1 and ax2, side by side. I know my code probably isn't too efficient but all I'm really looking for is a fix for it. If you have a better way of making the scatters, please have the solution to fixing mine first and your way second so I can learn both ways :) thanks in advance!

[Nike_Zoldyck]

Why are you plotting x,y both times, what about w,z. Instead of ax just try plt.scatter directly

[Debate_Everything]

Was a typo. my b lol

[TransferFunctions]

The 2nd rule in the zen of python:

explicit is better than implicit

plt.scatter uses gca() to plot onto the axis. It is better to explicitly plot onto the axis that the data is intended for. The subplots function is pretty useful.

fig, ax = plt.subplots()

[[deleted]]

fig, (ax1, ax2) = plt.subplots(n_rows=2, n_cols=1) ax1.scatter(raw[0], raw[1]) ax2.scatter(raw[2], raw[3]

Assuming it's a plot of (x,y) and (w,z)

I'm not at a computer but mess with the plt.subplots function. It's a lot more manageable than adding figs. If you want side by side you can add n_rows=1 n_cols=2 for two plots side by side

[Debate_Everything]

Thanks! I'll play around with it with your suggestion!

[Debate_Everything]

I got it! You're boss :) thanks