calculate p-values from cdf and show them in a graph
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I have plotted the cdf of my dataset. I would like to know find out some p-values (probabilities), I could do it looking at the graph, however, I would like to know if there is a way to do it with a python code and show it in the graph. I have the following code
x = np.sort(df['Consumption KW'])
y = np.arange(1,len(x)+1)/len(x)
plt.plot(x,y,marker='.',linestyle='none', label='Consumption KW')
And I get something like this:
However, I would like to calculate the value of KW (x-axis) with a probability of 93% (I other words when the CDF(0.93)). The following graph shows what I want but with another data set:
Does anybody know how to calculate p-values and show them on a graph as aforementioned? It would be of great help! Thanks
python numpy cdf
edited Nov 22 at 14:16
Dominique
1,55841538
asked Nov 22 at 12:53
Jonathan Budez
136
add a comment |
up vote
-2
down vote
favorite
I have plotted the cdf of my dataset. I would like to know find out some p-values (probabilities), I could do it looking at the graph, however, I would like to know if there is a way to do it with a python code and show it in the graph. I have the following code
x = np.sort(df['Consumption KW'])
y = np.arange(1,len(x)+1)/len(x)
plt.plot(x,y,marker='.',linestyle='none', label='Consumption KW')
And I get something like this:
However, I would like to calculate the value of KW (x-axis) with a probability of 93% (I other words when the CDF(0.93)). The following graph shows what I want but with another data set:
Does anybody know how to calculate p-values and show them on a graph as aforementioned? It would be of great help! Thanks
python numpy cdf
edited Nov 22 at 14:16
Dominique
1,55841538
asked Nov 22 at 12:53
Jonathan Budez
136
np.quantile(x, 0.93)
– Goyo
Nov 22 at 14:05
Apparently it worked, however, I need to check the math behind the method, because it is unclear how it calculates the value. On the other hand, how is it possible to draw a line as indicated in the second picture and show that value?
– Jonathan Budez
Nov 22 at 15:01
1
The best way of being sure would be writing your own implementation, which should be easy enough if you understand the maths. And isn't drawing lines whatplt.plot()does? I guess a cursory search would show you some additional conveniences, but you don't really need that.
– Goyo
Nov 22 at 17:48
add a comment |
up vote
-2
down vote
favorite
up vote
-2
down vote
favorite
I have plotted the cdf of my dataset. I would like to know find out some p-values (probabilities), I could do it looking at the graph, however, I would like to know if there is a way to do it with a python code and show it in the graph. I have the following code
x = np.sort(df['Consumption KW'])
y = np.arange(1,len(x)+1)/len(x)
plt.plot(x,y,marker='.',linestyle='none', label='Consumption KW')
And I get something like this:
However, I would like to calculate the value of KW (x-axis) with a probability of 93% (I other words when the CDF(0.93)). The following graph shows what I want but with another data set:
Does anybody know how to calculate p-values and show them on a graph as aforementioned? It would be of great help! Thanks
python numpy cdf
edited Nov 22 at 14:16
Dominique
1,55841538
asked Nov 22 at 12:53
Jonathan Budez
136
I have plotted the cdf of my dataset. I would like to know find out some p-values (probabilities), I could do it looking at the graph, however, I would like to know if there is a way to do it with a python code and show it in the graph. I have the following code
x = np.sort(df['Consumption KW'])
y = np.arange(1,len(x)+1)/len(x)
plt.plot(x,y,marker='.',linestyle='none', label='Consumption KW')
And I get something like this:
However, I would like to calculate the value of KW (x-axis) with a probability of 93% (I other words when the CDF(0.93)). The following graph shows what I want but with another data set:
Does anybody know how to calculate p-values and show them on a graph as aforementioned? It would be of great help! Thanks
python numpy cdf
python numpy cdf
edited Nov 22 at 14:16
Dominique
1,55841538
asked Nov 22 at 12:53
Jonathan Budez
136
edited Nov 22 at 14:16
Dominique
1,55841538
asked Nov 22 at 12:53
Jonathan Budez
136
edited Nov 22 at 14:16
Dominique
1,55841538
edited Nov 22 at 14:16
Dominique
1,55841538
edited Nov 22 at 14:16
Dominique
1,55841538
1,55841538
asked Nov 22 at 12:53
Jonathan Budez
136
asked Nov 22 at 12:53
Jonathan Budez
136
asked Nov 22 at 12:53
Jonathan Budez
136
136
np.quantile(x, 0.93)
– Goyo
Nov 22 at 14:05
Apparently it worked, however, I need to check the math behind the method, because it is unclear how it calculates the value. On the other hand, how is it possible to draw a line as indicated in the second picture and show that value?
– Jonathan Budez
Nov 22 at 15:01
1
The best way of being sure would be writing your own implementation, which should be easy enough if you understand the maths. And isn't drawing lines whatplt.plot()does? I guess a cursory search would show you some additional conveniences, but you don't really need that.
– Goyo
Nov 22 at 17:48
add a comment |
np.quantile(x, 0.93)
– Goyo
Nov 22 at 14:05
Apparently it worked, however, I need to check the math behind the method, because it is unclear how it calculates the value. On the other hand, how is it possible to draw a line as indicated in the second picture and show that value?
– Jonathan Budez
Nov 22 at 15:01
1
The best way of being sure would be writing your own implementation, which should be easy enough if you understand the maths. And isn't drawing lines whatplt.plot()does? I guess a cursory search would show you some additional conveniences, but you don't really need that.
– Goyo
Nov 22 at 17:48
np.quantile(x, 0.93)– Goyo
Nov 22 at 14:05
np.quantile(x, 0.93)– Goyo
Nov 22 at 14:05
Apparently it worked, however, I need to check the math behind the method, because it is unclear how it calculates the value. On the other hand, how is it possible to draw a line as indicated in the second picture and show that value?
– Jonathan Budez
Nov 22 at 15:01
Apparently it worked, however, I need to check the math behind the method, because it is unclear how it calculates the value. On the other hand, how is it possible to draw a line as indicated in the second picture and show that value?
– Jonathan Budez
Nov 22 at 15:01
1
1
The best way of being sure would be writing your own implementation, which should be easy enough if you understand the maths. And isn't drawing lines what
plt.plot() does? I guess a cursory search would show you some additional conveniences, but you don't really need that.– Goyo
Nov 22 at 17:48
The best way of being sure would be writing your own implementation, which should be easy enough if you understand the maths. And isn't drawing lines what
plt.plot() does? I guess a cursory search would show you some additional conveniences, but you don't really need that.– Goyo
Nov 22 at 17:48
add a comment |
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np.quantile(x, 0.93)– Goyo
Nov 22 at 14:05
Apparently it worked, however, I need to check the math behind the method, because it is unclear how it calculates the value. On the other hand, how is it possible to draw a line as indicated in the second picture and show that value?
– Jonathan Budez
Nov 22 at 15:01
1
The best way of being sure would be writing your own implementation, which should be easy enough if you understand the maths. And isn't drawing lines what
plt.plot()does? I guess a cursory search would show you some additional conveniences, but you don't really need that.– Goyo
Nov 22 at 17:48