This question already has answers here:
Matplotlib y axis values are not ordered [duplicate]
(1 answer)
Difference in plotting with different matplotlib versions
(1 answer)
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?
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Seaborn data visualization misunderstanding of densities?
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Seaborn - displot normalize KDEs for two different sample batches
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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.
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Using pandas value_counts and matplotlib
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how to sort the result by pandas.value_counts
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Closed 8 months ago.
I have a binary column in pandas dataframe. I want to visualize it, just to see how much there is 0 or 1. I used displot:
Plot = sns.displot(data = data, x = 'stroke', color = 'm')
Plot.fig.suptitle('Stroke numbers in data', size=15, y=1.12);
This did the job but it's very ugly, how do I make it only with 0 and 1 ?:
I think this is a good solution:
data["stroke"].value_counts(sort=False).plot.bar(rot=0)
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
(4 answers)
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:
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)
This question already has answers here:
matplotlib create broken axis in subplot
(1 answer)
remove part of a plot in matplotlib
(1 answer)
Closed 5 years ago.
I want to define range of x values appeared in plot in python. For example, here is my code:
import matplotlib.pyplot as plt
plt.figure(13)
ax1=plt.subplot(111)
x=[i for i in range(100)]
y=[i**2 for i in x]
ax1.plot(x,y)
However, I want to see in the graph x ranges from 0 to 60 and 80 to 100. How, I can do it in matplot. Actual, problem is more complicated, just removing data doesn't appear to be good solution. I want to change plot.
I tried ax1.set_xlim([0,60]) but want to see from 80 to 100 also.