plotting multiple column data in the same ecdf plot using seaborn

[saikat ghosh]

Hi,

I want to add different legend to each line plot in the attached image. And also want to modify the axis titles.

How to do that ?

I am plotting ECDF for irradiance values using seaborn library.

The plot is attached. Code is written as follows-

from matplotlib import pyplot as plt
import pandas as pd

import seaborn as sns

amphancomb = pd.read_csv('amphancomb.csv')

sns.ecdfplot(amphancomb.Irradiance19May)
sns.ecdfplot(amphancomb.Irradiance21May)
sns.ecdfplot(amphancomb.Irradiance15May)

====

Actually the doubt is not related to pvlib, its related to python in general. Sorry if this post annoyed you.

 You can just tell me where can i get it solved.

Many thanks,

[cwh...@sandia.gov]

I think you need to name each array like this:

snsecdfplot({'<legend label 1>': amphancomb.Irradiance19May, '<legend 2>': amphancomb.Irradiance21May, ...})

[Jurand Bien]

Exactly is as Saika wrote. However in  seaborn.ecdfplot 

seaborn.ecdfplot(data=None, *, x=None, y=None, hue=None, weights=None, stat='proportion', complementary=False, palette=None, hue_order=None, hue_norm=None, log_scale=None, legend=True, ax=None, **kwargs

label is under **kwargs to specify line label. So you have two options you can add label in ecdfplot function as was proposed by Saika or put labels in legend function as below 

from matplotlib import pyplot as plt
import pandas as pd

import seaborn as sns

amphancomb = pd.read_csv('amphancomb.csv')

sns.ecdfplot(amphancomb.Irradiance19May)

sns.ecdfplot(amphancomb.Irradiance21May)
sns.ecdfplot(amphancomb.Irradiance15May)

plt.legend(labels = ['May 19','May 21','May 15'])

Regards

Jurand

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