CODEWITHSUNDEEP
pythonpandasseaborn
Mark Kelly
Mark Kelly

Reputation: 31

Seaborn not changing data in lineplot facets of facetgrid

I'm trying to use a seaborn facetgrid to plot timeseries data from a large file.

from matplotlib import pyplot as plt
import seaborn as sb
import pandas as pd

df_ready=pd.read_hdf('data.hdf')

... # drop null rows, etc.

fg=sb.FacetGrid(data=df_ready[ df_ready.medium == 'LSM'],row='ARS853',col='fMLP',legend_out=True)
fg.map(sb.lineplot,data=df_ready[ df_ready.medium == 'LSM'],x='qtime',y='A',hue='RNA',hue_order=['siC','si6','si7','si8'])

The code produces this plot:output, which as you can see is identical in all four panels. I have verified using seaborn.lineplot that the data itself is actually distinguishable between the four cases, so clearly I am misusing seaborn somehow. A similar issue occurs when I change the axes (e.g. row='RNA' and hue='ARS853') Can anybody tell me how to plot the data faithfully (and still use facetgrid)?

Upvotes: 0

Views: 928

Answers (1)

Mark Kelly
Mark Kelly

Reputation: 31

D'oh!

The answer is that I'm passing kwargs to the mapped function, which is not supported. They should be positional instead. cf. Plotting errors bars from dataframe using Seaborn FacetGrid

Upvotes: 1

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