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Obtaining probability distribution from sns.distplot in Python
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I have some raw data that I used from an excel sheet and I used sns.displot that shows the kde distribution as well as the histogram. How can I extract the kde distribution from sns.displot? Is there a way I can compute only the probability distribution from raw data that is not necessarily normally distributed or any common distribution such as Bernoulli etc.? I want to be able to then use the probability distribution to do further studies... Here is the code and a picture from the code. The data I obtained from an excel file that I had python read from.
Plot = sns.distplot(data,
bins='auto',
kde=True,
color='red',
hist_kws="linewidth": 15,'alpha':1,'color':"blue")
Image of histogram and kde distribution
python
asked Mar 8 at 14:49
Jorge HernandezJorge Hernandez
112
add a comment |
I have some raw data that I used from an excel sheet and I used sns.displot that shows the kde distribution as well as the histogram. How can I extract the kde distribution from sns.displot? Is there a way I can compute only the probability distribution from raw data that is not necessarily normally distributed or any common distribution such as Bernoulli etc.? I want to be able to then use the probability distribution to do further studies... Here is the code and a picture from the code. The data I obtained from an excel file that I had python read from.
Plot = sns.distplot(data,
bins='auto',
kde=True,
color='red',
hist_kws="linewidth": 15,'alpha':1,'color':"blue")
Image of histogram and kde distribution
python
asked Mar 8 at 14:49
Jorge HernandezJorge Hernandez
112
add a comment |
I have some raw data that I used from an excel sheet and I used sns.displot that shows the kde distribution as well as the histogram. How can I extract the kde distribution from sns.displot? Is there a way I can compute only the probability distribution from raw data that is not necessarily normally distributed or any common distribution such as Bernoulli etc.? I want to be able to then use the probability distribution to do further studies... Here is the code and a picture from the code. The data I obtained from an excel file that I had python read from.
Plot = sns.distplot(data,
bins='auto',
kde=True,
color='red',
hist_kws="linewidth": 15,'alpha':1,'color':"blue")
Image of histogram and kde distribution
python
asked Mar 8 at 14:49
Jorge HernandezJorge Hernandez
112
I have some raw data that I used from an excel sheet and I used sns.displot that shows the kde distribution as well as the histogram. How can I extract the kde distribution from sns.displot? Is there a way I can compute only the probability distribution from raw data that is not necessarily normally distributed or any common distribution such as Bernoulli etc.? I want to be able to then use the probability distribution to do further studies... Here is the code and a picture from the code. The data I obtained from an excel file that I had python read from.
Plot = sns.distplot(data,
bins='auto',
kde=True,
color='red',
hist_kws="linewidth": 15,'alpha':1,'color':"blue")
Image of histogram and kde distribution
python
python
asked Mar 8 at 14:49
Jorge HernandezJorge Hernandez
112
asked Mar 8 at 14:49
Jorge HernandezJorge Hernandez
112
asked Mar 8 at 14:49
Jorge HernandezJorge Hernandez
112
asked Mar 8 at 14:49
Jorge HernandezJorge Hernandez
112
asked Mar 8 at 14:49
Jorge HernandezJorge Hernandez
112
112
add a comment |
add a comment |
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