I'm trying to create a scatter plot in Python. I have a dataframe 'df' with a specified category and x and y are column numbers:
groups = df.groupby(category)
fig, ax = plt.subplots()
for name, group in groups:
ax.plot(x=group.iloc[:,x], y=group.iloc[:,y], marker='o', linestyle='',label=name)
fig = ax.get_figure()
fig.savefig(path)
For some reason, I am getting an empty scatterplot -- Am I doing something wrong?
ax.plot does not have x and y arguments.
The signature is Axes.plot(*args, **kwargs), meaning that x and y are simply positional arguments. If you specify x= and y= they will be treated as keyword arguments and ignored.
So remove x= and y= from the code,
ax.plot(group.iloc[:,x], group.iloc[:,y], marker='o', linestyle='',label=name)
Complete example:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame({"x":np.random.rand(40),
"y":np.random.rand(40),
"category": np.random.choice(list("ABCD"), size=40)})
category = "category"
x=1; y=2
groups = df.groupby(category)
fig, ax = plt.subplots()
for name, group in groups:
ax.plot(group.iloc[:,x], group.iloc[:,y], marker='o', linestyle='',label=name)
fig = ax.get_figure()
#fig.savefig(path)
plt.show()
