Reputation: 475
I have an array of data, called data1, that contains values from 0 to more than a thousand. I only want to have a histogram and a KDE of those values from 0 to 10. Hence I wrote:
sns.distplot(data1, kde=True, hist=True, hist_kws={"range": [0,10]})
plt.show()
What I get however is a histogram of all values (well into 2000s).
Upvotes: 17
Views: 24269
Reputation: 3354
Use the option binrange
of histplot
.
This works in modern seaborn
too (note that **distplot
is depreciated).
binrange: pair of numbers or a pair of pairs
Lowest and highest value for bin edges;
can be used either with bins or binwidth. Defaults to data extremes.
Upvotes: 2
Reputation: 165
You can set a range for Axes
object that sns
returns.
ax = sns.distplot(data1, kde=True, hist=True, hist_kws={"range": [0,10]})
ax.set_xlim(0, 10)
Upvotes: 4
Reputation: 1004
If you want the KDE and histogram to be computed only for the values in [0,10] you can use the arguments kde_kws={"clip":(0,10)}, hist_kws={"range":(0,10)}
:
sns.distplot(data1, kde=True, hist=True, kde_kws={"clip":(0,10)}, hist_kws={"range":(0,10)})
plt.show()
Upvotes: 1
Reputation: 11
It does, just put plt.xlim(x,x1) in a line after declaring the plot and the resultant plot would only have the x values between x and x1. You can do the same for the y axis using ylim.
Upvotes: 1
Reputation: 15889
You could just filter your data and call displot
over the filtered data:
filtered = data1[(data1 >= 0) & (data1 < 10)]
sns.distplot(filtered, kde=True, hist=True, hist_kws={"range": [0,10]})
plt.show()
Assuming data1
is a numpy array.
Upvotes: 14