python - Seaborn kdeplot not plotting some data? -

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i'm trying seaborn kdeplot example work on dataset. reason, 1 of datasets isn't plotting @ all, other seems plotting fine. minimal working example, have sampled 10 rows large data sets.

my input data looks this:

#dataframe dfa     index   x       y     category 0   595700  5   1.000000    14.0 1   293559  4   1.000000    14.0 2   562295  3   0.000000    14.0 3   219426  4   1.000000    14.0 4   592731  2   1.000000    14.0 5   178573  3   1.000000    14.0 6   553156  4   0.500000    14.0 7   385031  1   1.000000    14.0 8   391681  3   0.999998    14.0 9   492771  2   1.000000    14.0  # dataframe dfb     index   x      y      category 0   56345   3   1.000000    6.0 1   383741  4   1.000000    6.0 2   103044  2   1.000000    6.0 3   297357  5   1.000000    6.0 4   257508  3   1.000000    6.0 5   223600  2   0.999938    6.0 6   44530   2   1.000000    6.0 7   82925   3   1.000000    6.0 8   169592  3   0.500000    6.0 9   229482  4   0.285714    6.0

my code snippet looks this:

import seaborn sns import matplotlib.pyplot plt  sns.set(style="darkgrid")  # set figure f, ax = plt.subplots(figsize=(8, 8))  # draw 2 density plots ax = sns.kdeplot(dfa.x, dfa.y,              cmap="reds", shade=true, shade_lowest=false) ax = sns.kdeplot(dfb.x, dfb.y,              cmap="blues", shade=true, shade_lowest=false)

why isn't data dataframe dfa plotting?

i don't think gaussian kde fit either of datasets. have 1 variable discrete values , 1 variable large majority of values seem constant. not modeled bivariate gaussian distribution.

as happening, without full dataset cannot sure, expect kde bandwidth (particularly on y axis) ending very narrow such regions non-negligible density tiny. try setting wider bandwidth, advice use different kind of plot data.


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