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Splitting data into bins in histplot

Time:11-06

I have a problem with sns.histplot(). As far as I understand bins parameter should indicate how many of bins should be in the plot. Here is some code to visualize the strange (at least for me) behavior.

    d = {'col1': [1, 2, 3, 4, 5, 6, 7, 8, 9 , 10 , 11 , 12, 13, 14, 15], 'col2': [1, 1, 1, 1, 1, 1, 2, 2, 2 , 2 , 2, 2, 2, 2, 2]}
    df = pd.DataFrame(data=d)
    sns.histplot(data=df, x='col1', multiple='dodge', hue='col2', binwidth=2, bins=8)

Example

I have almost same problem in my original code where i have

hist = sns.histplot(data=Data, x=y_data, multiple='dodge', ax=axes[0], hue=i[2][1], binwidth=2, bins=10)

Original histogram And as You can see there is only one bin where data have its minimum and std but is not splitted into number of bins I declared. Can anyone explain me why this is not splitting data into provided number of bins ? How can I change code to ensure constant number of bins ?

CodePudding user response:

I think the problem is binwidth parameter. Maybe just try to delete that parameter, or set it to smaller value (0.2 or 0.1)

CodePudding user response:

From the docs, regarding the binwidth parameter:

Width of each bin, overrides bins but can be used with binrange.

So you can't specify both bins and binwidth at the same time.

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