Python scripts in Loops

Hi there,

I use a python node for some visualisations within a loop (many iterations like 70.000) . Even if the amount of data is quite small (less than 200 rows, 4 columns) the node stucks always a second at 30%.

Can it be that in every call the libraries are reloaded? Is this the root cause for the slow execution? Is there a way to preload all needed Python libraries at the beginning/start of a Workflow or Knime itself

from io import BytesIO
import seaborn as sns
import matplotlib.pyplot as plt
# Some numerical stuff
df = input_table
df["x"]= df.reset_index().index - 10
df["hue"] = df["hue"].astype(str)
# plotting
f, ax= plt.subplots(2,1, figsize=(8,6),sharex=True)
sns.scatterplot(data = df, x="x", y="y", hue= "hue", palette ="tab10", ax= ax[0])
ax[0].axvline(x = 0, color = 'k',lw=1, label = 'Meas Start', linestyle=":")
sns.lineplot(data = df, x="x", y="y_line" ,  palette ="tab10", ax= ax[1], label="Temperature")
plt.axvline(x = 0, color = 'k',lw=1, label = 'Meas Start', linestyle=":")
plt.legend()
# write it into the buffer
buffer = BytesIO()
plt.savefig(buffer, format=a'png')
# The output is the content of the buffer
output_image = buffer.getvalue()