Multiple csv files plotted on same axis with different colors

Question

Consider the following csv files

import pandas as pd
from io import StringIO
from matplotlib import pylab as plt

csv1 = """x,y
0,1
1,0"""

csv2 = """x,y
0,0
1,1"""

csv3 = """x,y
.5,1
.5,0"""

csv4 = """x,y
0,.5
1,.5"""

I can plot them all on different axes

fig, axes = plt.subplots(2, 2, sharex=True, sharey=True)
for i, csv in enumerate([csv1, csv2, csv3, csv4]):
    r, c = i // 2, i % 2
    pd.read_csv(StringIO(csv)).plot.scatter('x', 'y', ax=axes[r, c])

fig.tight_layout()

But how do I plot on same axis with different colors?

Answer 1

a. Using matplotlib

matplotlib uses different colors automatically

fig, axes = plt.subplots()
for i, csv in enumerate([csv1, csv2, csv3, csv4]):
    df = pd.read_csv(StringIO(csv))
    axes.scatter(df.x, df.y)

fig.tight_layout()
plt.show()

b. Using pandas

One would need to define a list of colors to use.

colors = ["blue", "orange", "green", "red"]
fig, axes = plt.subplots()
for i, csv in enumerate([csv1, csv2, csv3, csv4]):
    df = pd.read_csv(StringIO(csv)).plot.scatter('x', 'y', ax=axes, color=colors[i])

fig.tight_layout()
plt.show()