Plotting Medians of Bins of Data
I have computed the bins of my data x values and also the median of each bin corresponding to a y value. Below is a sample of my data I used to compute:
- x values range from 0 to 1
- y values range anywhere from any value but each y value has a x value associated with it
My code:
hist1, bins1 = np.histogram(x)
medians_1 = pd.Series(y).groupby(pd.cut(x, bins1)).median()
hist = [129, 126, 94, 133, 179, 206, 142, 147, 90, 185]
bins = [0., 0.09999926, 0.19999853, 0.29999779, 0.39999706,
0.49999632, 0.59999559, 0.69999485, 0.79999412, 0.8999933,
0.99999265]
medians_1 = [ 14.42145 14.428275 14.427865 14.42535 14.42613
14.430235 14.441055 14.43472 14.424155 14.4187 ]
I am wondering how I can plot the median values for each associated "bin"?
I tried to plot a scatter plot but I only have the median values and not any x axis values. Also, I can not plot the medians vs. the original x values because they are not the same size.
python numpy matplotlib histogram median
edited Nov 14 '18 at 21:02
petezurich
3,65081834
asked Nov 14 '18 at 20:48
hlku2334hlku2334
366
add a comment |
I have computed the bins of my data x values and also the median of each bin corresponding to a y value. Below is a sample of my data I used to compute:
- x values range from 0 to 1
- y values range anywhere from any value but each y value has a x value associated with it
My code:
hist1, bins1 = np.histogram(x)
medians_1 = pd.Series(y).groupby(pd.cut(x, bins1)).median()
hist = [129, 126, 94, 133, 179, 206, 142, 147, 90, 185]
bins = [0., 0.09999926, 0.19999853, 0.29999779, 0.39999706,
0.49999632, 0.59999559, 0.69999485, 0.79999412, 0.8999933,
0.99999265]
medians_1 = [ 14.42145 14.428275 14.427865 14.42535 14.42613
14.430235 14.441055 14.43472 14.424155 14.4187 ]
I am wondering how I can plot the median values for each associated "bin"?
I tried to plot a scatter plot but I only have the median values and not any x axis values. Also, I can not plot the medians vs. the original x values because they are not the same size.
python numpy matplotlib histogram median
edited Nov 14 '18 at 21:02
petezurich
3,65081834
asked Nov 14 '18 at 20:48
hlku2334hlku2334
366
add a comment |
I have computed the bins of my data x values and also the median of each bin corresponding to a y value. Below is a sample of my data I used to compute:
- x values range from 0 to 1
- y values range anywhere from any value but each y value has a x value associated with it
My code:
hist1, bins1 = np.histogram(x)
medians_1 = pd.Series(y).groupby(pd.cut(x, bins1)).median()
hist = [129, 126, 94, 133, 179, 206, 142, 147, 90, 185]
bins = [0., 0.09999926, 0.19999853, 0.29999779, 0.39999706,
0.49999632, 0.59999559, 0.69999485, 0.79999412, 0.8999933,
0.99999265]
medians_1 = [ 14.42145 14.428275 14.427865 14.42535 14.42613
14.430235 14.441055 14.43472 14.424155 14.4187 ]
I am wondering how I can plot the median values for each associated "bin"?
I tried to plot a scatter plot but I only have the median values and not any x axis values. Also, I can not plot the medians vs. the original x values because they are not the same size.
python numpy matplotlib histogram median
edited Nov 14 '18 at 21:02
petezurich
3,65081834
asked Nov 14 '18 at 20:48
hlku2334hlku2334
366
I have computed the bins of my data x values and also the median of each bin corresponding to a y value. Below is a sample of my data I used to compute:
- x values range from 0 to 1
- y values range anywhere from any value but each y value has a x value associated with it
My code:
hist1, bins1 = np.histogram(x)
medians_1 = pd.Series(y).groupby(pd.cut(x, bins1)).median()
hist = [129, 126, 94, 133, 179, 206, 142, 147, 90, 185]
bins = [0., 0.09999926, 0.19999853, 0.29999779, 0.39999706,
0.49999632, 0.59999559, 0.69999485, 0.79999412, 0.8999933,
0.99999265]
medians_1 = [ 14.42145 14.428275 14.427865 14.42535 14.42613
14.430235 14.441055 14.43472 14.424155 14.4187 ]
I am wondering how I can plot the median values for each associated "bin"?
I tried to plot a scatter plot but I only have the median values and not any x axis values. Also, I can not plot the medians vs. the original x values because they are not the same size.
python numpy matplotlib histogram median
python numpy matplotlib histogram median
edited Nov 14 '18 at 21:02
petezurich
3,65081834
asked Nov 14 '18 at 20:48
hlku2334hlku2334
366
edited Nov 14 '18 at 21:02
petezurich
3,65081834
asked Nov 14 '18 at 20:48
hlku2334hlku2334
366
edited Nov 14 '18 at 21:02
petezurich
3,65081834
edited Nov 14 '18 at 21:02
petezurich
3,65081834
edited Nov 14 '18 at 21:02
petezurich
3,65081834
3,65081834
asked Nov 14 '18 at 20:48
hlku2334hlku2334
366
asked Nov 14 '18 at 20:48
hlku2334hlku2334
366
asked Nov 14 '18 at 20:48
hlku2334hlku2334
366
366
add a comment |
add a comment |
1 Answer
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You could plot the median against the bin centers. The center of each bin can be calculated using this
import numpy as np
bin_center = (np.asarray(bins[1:])+np.asarray(bins[:-1]))/2
answered Nov 14 '18 at 20:58
James FultonJames Fulton
1825
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
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oldest
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oldest
votes
You could plot the median against the bin centers. The center of each bin can be calculated using this
import numpy as np
bin_center = (np.asarray(bins[1:])+np.asarray(bins[:-1]))/2
answered Nov 14 '18 at 20:58
James FultonJames Fulton
1825
add a comment |
You could plot the median against the bin centers. The center of each bin can be calculated using this
import numpy as np
bin_center = (np.asarray(bins[1:])+np.asarray(bins[:-1]))/2
answered Nov 14 '18 at 20:58
James FultonJames Fulton
1825
add a comment |
You could plot the median against the bin centers. The center of each bin can be calculated using this
import numpy as np
bin_center = (np.asarray(bins[1:])+np.asarray(bins[:-1]))/2
answered Nov 14 '18 at 20:58
James FultonJames Fulton
1825
You could plot the median against the bin centers. The center of each bin can be calculated using this
import numpy as np
bin_center = (np.asarray(bins[1:])+np.asarray(bins[:-1]))/2
answered Nov 14 '18 at 20:58
James FultonJames Fulton
1825
answered Nov 14 '18 at 20:58
James FultonJames Fulton
1825
answered Nov 14 '18 at 20:58
James FultonJames Fulton
1825
answered Nov 14 '18 at 20:58
James FultonJames Fulton
1825
1825
add a comment |
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