This question already has answers here:
How to set the y-axis limit
(8 answers)
How to automatically set the y-axis limits after limiting the x-axis
(1 answer)
Closed 1 year ago.
I have a graph that has values between 0-40 on the x-axis and 0-20,000 on the y-axis. If I am plotting the graph, this is what I see,
Is it possible to plot the graph only till the points in the axis where data entries fall?
I think you can put limits till where the data could be shown using:
x limit as matplotlib.pyplot.xlim(0, 40) and y limit as matplotlib.pyplot.ylim(0,20000)
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access to bin counts in seaborn distplot
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How can I extract the bins from seaborn's KDE distplot object?
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I made a chart with seaborn and I would like to retrieve the bin size values.
As my bins are constant in a logarithmic scale, their size are different. Any ideas ?
Code used : sns.displot(productDF, x="Area", hue="Slice",hue_order=sliceList, bins = 50, log_scale=True, col="Slice", col_wrap = 2, col_order=sliceList)
Here after an example of my chart:
I checked the doc but seaborn doesn't seem to return any info.
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I'm tring to create a Clustering Situation, with KMeans.
This is how my datasets looks like:
With these dataset, I apply FacetGrid this way:
for c in data:
grid= sns.FacetGrid(data, col='Clusters')
grid.map(plt.hist,c)
grid.set_xticklabels(rotation=90)
Output:
For all features.
This is working ok, but the FacetGrid only show Feature Value X Count for each clusters...
This information is not too relevant too me, since all clusters have different 'len'.
E.g Customer Age for Cluster 1 plot is very higher than Customer Age for Cluster 0, since Cluster 1 has more elements.
What I need:
I need a way to compare each column of the plot relative to its total.
E.g
I'd like to see:
For each cluster and each feature.
Is it possible?
Thank you.
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Closed 7 months ago.
How can I plot multiple distribution plots in one plot where I have column = "Quantity" from 5 dataframes at nation, region, division, state and DMA level and the length of dataframes and their scale differs a lot.
I used this code:
sns.displot(data= data_vert, x='dev_median_qty', hue='level', kind='kde', fill=True, palette=sns.color_palette('bright')[:5], height=5, aspect=2.5)
plt.xlim(-5, 25)
And I got this graph :
I want that area under each curve is one, or every level data gives same area under the curve without changing the distribution, so that this graph can be more visually sound and good to observe.
This question already has answers here:
How to set the y-axis limit
(8 answers)
How to scale Seaborn's y-axis with a bar plot
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Closed 10 months ago.
I have a data set that I need to visualize with seaborn. I need to standardize the y axis value to have a range between 0 to 100. Since my max value is 70 on the y axis 70 is shown as its max value. Is it possible to keep the graph in the range of 100? How do you do it?
This question already has answers here:
Matplotlib y axis values are not ordered [duplicate]
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Difference in plotting with different matplotlib versions
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Closed 10 months ago.
The values on the y axis of this plot are too clustered, as seen where I labelled 1 in the picture.
The only was to make the numbers slightly visible is the reduce the value of labelsize= in the tick_params() method but that mades the values so small they are unreadable.
Do I have to plot all the points in the range of my list rainfall in line 16 or can I specifiy which labels I would like to place?