I wanted to ask about a problem that I can't find a solution to, I'm quite new to python and programming.
I have my code where I calculate different statistical measurements and in the fourth graph axes [1:1] I am trying to represent the standard deviation of my variable (accumulated daily rainfall in mm) but I have a problem and that is that the standard deviation represents values upwards and below average. Precipitation cannot have negative values and I wanted to know if it is possible to put some kind of filter so that only values equal to or greater than 0 are plotted.
Here I leave my example code and the data that I use
import numpy as np
import pandas as pd
from sklearn.datasets import load_iris
import seaborn as sns
from matplotlib import pyplot as plt
SALIDAS = 'C:/Users/ferfo/Desktop/'
datos = pd.read_excel('C:/Users/ferfo/Desktop/Distribuciones/prueba.xlsx')
datos1 = pd.read_excel('C:/Users/ferfo/Desktop/Distribuciones/lineas.xlsx')
sns.set_style('darkgrid')
fig, axes =plt.subplots(2,2, figsize=(10,6))
sns.ecdfplot(ax=axes[0,0], data=datos)
sns.histplot(ax=axes[0,1], data=datos, fill = True, common_norm=False, alpha=0.2, linewidth=2, element="step")
sns.lineplot(ax=axes[1,0], data=datos1, markers=True, dashes=False,)
sns.barplot(ax=axes[1,1], data=datos, ci = "sd", capsize=0.1, )
axes[0,0].set_ylabel("Probabilidad")
axes[0,0].set_xlabel("mm/día")
axes[0,0].set_ylim(0, 1.1)
axes[0,0].set_yticks([0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.1])
axes[0,0].set_xticks([0,50,100,150,200,250,300,350])
axes[0,1].set_xticks([0,50,100,150,200,250,300,350])
axes[0,1].set_yticks([0,50,100,150,200,250,300,350,400,450,500])
axes[0,1].set_ylabel("Frecuencia")
axes[0,1].set_xlabel("mm/día")
axes[0,1].get_legend().remove()
axes[1,0].set_yticks([0,50,100,150,200,250,300])
axes[1,0].set_xlabel("Meses")
axes[1,0].set_ylabel("mm")
axes[1,0].get_legend().remove()
axes[1,0].set_xticks([1,3,5,8,11])
#axes[1,1].set_yticks([-10,30])
axes[1,1].set_xlabel("Producto")
#axes[1,1].set_ylabel("mm/día")
fig.suptitle('lomitas, 2001-2020', fontsize=20)
plt.show()
fig.savefig(SALIDAS + 'graficos', dpi=600, bbox_inches='tight')
prueba.txt
- This is my data: https://drive.google.com/file/d/1TSwulKNFerHMvv5Mdhc_m1zqwRac0lYj/view?usp=sharing
- The first 1000 rows (that will fit on SO), out of 1831.
Observed data,Imerg data,Persiann Data
33.0,12.70423317,65.75
12.0,13.56632233,31.32
4.0,21.09570122,43.52
1.0,9.74461746,5.77
17.3,1.820376158,6.55
18.0,5.2507658,61.730003
2.0,8.476202965,14.250001
40.0,3.271785736,8.710001
1.0,9.8995018,25.009998
24.0,8.377342225,22.08
1.0,13.10612583,13.53
3.0,7.375349045,14.24
7.0,41.91541291,3.44
68.0,26.54439736,57.81
15.0,4.023840905,2.65
2.0,6.984012125,14.709999
50.0,13.24643517,2.61
35.0,2.314537525,62.61
22.0,4.787216664,47.95
23.0,6.563237665,80.09
41.0,26.61835861,2.73
52.5,87.12622835,35.05
21.0,20.77411652,4.5
5.0,39.9513588,2.77
21.3,34.07968521,46.68
4.0,4.571947575,2.94
21.0,7.785022735,11.190001
7.0,24.5557766,6.7700005
2.0,14.00565529,2.15
14.0,6.835758685,3.9299998
6.0,13.60206604,1.5
1.0,31.71725464,19.919998
7.0,3.962635517,33.16
20.2,1.291003466,12.959999
20.0,55.3718796,1.03
10.0,1.06314838,150.06
2.0,1.467782021,8.41
5.8,4.719767094,7.9300003
2.0,2.669240952,2.72
10.0,17.57000542,17.4
1.0,1.548810959,2.03
8.0,1.151179791,1.37
3.0,20.55989838,3.85
9.0,2.467414141,1.9200001
2.0,1.306825042,2.07
8.0,1.14,2.69
2.0,1.127427101,14.9800005
18.0,1.399605274,2.4500003
10.0,6.10573721,2.1100001
8.0,2.593387604,4.76
16.0,1.714526534,5.64
20.0,7.021852015,1.24
49.0,1.874579191,1.54
3.3,1.057072401,2.88
16.0,5.83480644,3.24
8.0,3.455219269,5.8599997
8.0,1.475891114,2.72
28.0,6.827443125,8.690001
13.0,18.33798981,2.26
4.0,6.57049513,4.49
2.0,31.0540371,1.25
35.0,53.7753334,1.3299999
11.0,21.80572129,2.3899999
6.5,34.6747551,3.56
33.0,1.931889653,2.33
13.0,12.64225388,3.62
5.0,8.975834845,2.33
37.0,1.71813643,15.01
8.0,4.632123471,5.06
16.0,20.17470742,1.51
11.0,27.08102036,3.59
2.0,2.386453629,4.99
1.0,1.059182048,1.5600001
21.0,26.59081078,4.0099998
2.0,12.13219738,7.1099997
45.0,1.741666675,3.78
11.0,1.191877246,2.83
8.0,1.437874556,4.38
36.0,4.313007832,1.56
23.0,43.39625931,2.3700001
1.0,4.652664662,1.39
44.8,2.123159409,7.83
2.0,1.013100386,4.0
4.0,3.444443941,5.9900002
3.0,1.029917956,1.6299999
3.0,64.20615385,1.46
14.0,2.552409411,1.75
15.0,1.070342303,22.1
20.0,19.51611519,14.44
34.0,11.814847,9.370001
20.0,3.378883601,31.640001
17.0,4.592389584,4.62
2.0,5.184751985,4.04
12.0,1.251710058,8.940001
31.0,1.20076859,20.54
3.0,2.656115532,16.52
12.0,3.296927929,22.5
11.0,6.101575375,8.24
37.0,1.621261239,16.720001
47.0,3.146972418,25.58
8.0,23.63509369,3.3600001
5.0,4.09155941,3.7999997
13.0,4.080201626,1.9300001
25.0,13.95099068,13.62
28.5,9.444846155,7.8
4.0,27.48032952,1.25
4.0,38.84066773,42.8
6.0,1.212481141,19.18
5.0,1.080495119,4.09
20.0,40.26078034,2.59
7.0,2.846819878,9.09
4.0,54.2149887,3.52
8.0,13.21701241,18.25
4.0,3.699003458,1.59
5.0,4.130330563,13.790001
5.0,20.58119202,6.25
5.0,6.42111683,4.21
44.0,4.309965134,1.56
10.0,4.79896164,2.24
3.0,7.026090145,1.5999999
3.0,2.08438778,6.4399996
3.0,25.36527062,3.0900002
22.0,24.76248741,23.900002
2.0,26.50693512,56.08
1.0,32.33215714,18.52
4.0,28.11775589,1.8699999
17.0,1.378523588,7.12
11.0,3.523523569,22.32
30.0,5.69707489,16.54
29.0,27.38665581,9.93
1.0,38.52075959,46.18
3.0,1.750359059,4.9399996
1.0,14.85701275,1.88
2.6,41.54547501,37.92
28.0,1.331750036,5.47
16.0,14.75776387,54.08
6.0,3.94290042,13.11
34.0,21.99007416,5.43
12.0,21.82343102,9.42
8.0,2.251169443,18.39
5.0,3.715127945,10.76
24.0,11.68067074,14.76
1.0,8.149575235,10.639999
9.0,3.602071047,11.530001
35.0,35.90866089,27.52
2.0,1.736975193,23.21
8.0,5.936116695,14.05
1.0,2.024060011,24.670002
3.0,7.263765335,21.99
14.0,1.832577467,12.419999
12.0,4.149312973,14.73
15.0,1.578367353,9.52
1.0,1.461082697,3.79
3.0,1.300221563,2.6699998
4.0,3.882947684,6.3
23.0,1.156816244,1.5699999
31.0,1.774330497,3.9099998
1.0,1.081079126,9.86
21.0,63.7815933,1.1
7.0,5.40561533,3.1
38.9,1.916676522,1.3499999
1.0,1.694874764,1.21
2.0,1.020053149,2.6799998
1.0,3.230535031,72.840004
18.0,2.468552113,3.8899999
47.0,2.557238341,1.9
3.0,2.99013114,3.03
1.0,1.321612239,1.81
15.0,11.32548142,1.2
5.0,1.680747986,1.92
2.0,4.724195004,3.9
1.0,3.12424779,2.5700002
1.0,19.96909905,11.53
2.4,38.93196869,1.54
3.0,6.141599655,1.24
2.0,10.2309351,2.06
2.2,1.496399522,1.99
3.0,14.13191891,4.8900003
3.0,6.556683065,2.02
1.0,2.044409514,1.8
7.0,13.88462162,6.32
2.0,2.669220686,2.21
4.0,9.125458715,1.6700001
1.0,5.971014975,4.23
2.0,24.87825394,8.09
40.0,4.818218708,4.5899997
1.0,1.526267767,22.439999
42.0,12.33635044,1.3199999
14.0,6.067589285,7.02
5.0,4.542275429,9.35
14.0,15.26683712,1.36
3.0,2.287184716,1.6099999
27.0,13.89541149,6.42
9.0,2.849863529,5.52
16.0,4.114969254,6.3199997
5.0,2.60952878,2.6299999
7.0,25.81751633,1.12
22.0,7.642860415,54.38
61.0,14.60452652,2.99
3.0,2.860728264,1.4300001
38.0,13.65011311,2.05
24.0,4.403223992,4.0699997
8.0,16.61255455,5.7299995
15.0,1.931255818,1.6700001
4.0,12.71534157,4.97
2.0,13.96313668,1.74
2.0,4.058600903,4.7799997
4.0,4.762280464,2.69
12.0,9.048459055,2.84
7.0,2.783326626,2.87
24.0,2.251889944,5.2999997
17.0,12.83441448,4.16
29.0,11.20629025,1.34
37.0,28.90879059,1.22
4.0,1.714102268,23.29
2.0,1.729247093,1.87
7.0,11.54702091,102.02
14.0,1.603832722,1.26
4.0,48.88271332,3.4900002
5.0,3.357400656,1.33
9.0,26.58070755,1.3499999
7.0,1.279444337,11.709999
52.0,7.07122135,6.92
21.0,4.065811158,1.55
8.0,1.305071712,3.3400002
2.0,33.32134629,34.989998
1.0,25.21928978,5.46
1.0,7.68272543,3.69
8.0,4.058069229,12.27
14.0,1.392273307,31.66
27.0,1.614271045,2.51
1.0,1.43,24.939999
5.0,1.564941883,2.76
1.0,5.490926745,19.510002
2.0,2.741349459,8.51
4.0,1.820300937,7.93
7.0,1.200169325,9.7
27.0,1.227725864,3.3899999
53.0,1.409593702,1.26
13.0,1.020598889,11.91
2.0,1.532613397,10.45
6.0,2.150630713,51.839996
2.0,9.32765293,1.0999999
3.0,3.207234144,27.57
32.0,1.102299214,36.58
4.0,11.28597355,9.549999
1.0,32.67594147,2.3
5.0,17.2740078,15.48
42.0,3.444516182,6.82
10.0,2.200684548,7.47
2.0,42.5202179,30.38
6.0,1.706894517,21.759998
2.0,14.07932759,18.81
11.0,4.025928021,9.6
25.0,16.11277199,2.11
17.0,6.93875265,1.03
9.0,4.846222401,10.18
31.3,1.64617455,6.8199997
18.0,1.422170997,14.7
3.0,2.14275384,16.5
42.0,20.2088604,4.75
28.0,16.17591286,24.34
113.5,1.768956781,5.91
27.0,7.651679995,13.950001
16.0,62.23706435,1.66
40.0,3.120871783,9.92
5.0,1.11462462,1.3499999
25.0,17.13158798,31.470001
1.0,35.90638352,3.34
1.0,11.49289704,30.420002
2.0,1.723016501,3.0900002
7.0,1.727642894,1.8199999
62.5,15.11504936,3.46
15.0,12.78649616,15.449999
6.0,1.142826557,2.9
2.0,4.31261921,1.44
2.0,19.54297829,1.8
5.0,21.42444229,1.17
9.0,1.985171438,5.24
4.0,38.83046723,1.53
3.0,24.3289547,2.63
28.0,21.55071259,8.26
3.0,20.35590744,5.58
18.5,17.1479969,20.69
1.0,2.328164578,6.65
77.0,6.90966034,1.5999999
3.0,8.87460327,4.1
6.0,19.85622978,5.88
18.0,11.50050545,8.62
1.0,2.399034024,4.4399996
13.0,17.8201561,7.3199997
1.0,63.47223665,5.11
5.0,10.70358849,1.9399999
4.0,1.303659797,1.14
5.0,7.051344395,1.2
2.0,1.317322851,2.83
2.0,1.153054357,20.35
1.7,1.288836599,1.0
3.5,6.40096426,2.18
4.7,10.61519242,3.25
2.0,38.07836151,1.4499999
1.0,1.00505364,1.06
5.0,4.601175309,14.140001
13.0,1.059544564,1.11
50.0,1.025045872,1.08
2.4,2.140906573,24.24
5.0,11.28417015,6.04
2.8,1.706882835,1.6299999
15.5,63.1325226,5.55
17.0,5.925836565,2.69
3.0,1.94356668,5.5099998
4.5,9.45316124,12.35
36.0,2.504364014,1.73
1.0,1.470301152,2.85
1.0,1.242533088,3.36
12.1,1.670167685,3.0299997
5.0,57.5176239,1.06
15.0,1.107224822,3.8200002
5.0,3.0542202,6.79
3.0,2.898064137,4.32
7.0,30.05044174,1.75
3.0,3.427459955,1.1800001
4.0,4.624752045,1.04
2.0,11.62128449,1.5600001
8.0,6.490193845,3.7
2.0,1.937290669,2.6000001
7.0,8.65875244,1.4100001
52.0,1.299692512,1.69
5.0,1.855275035,48.739998
1.0,3.769208908,7.24
7.6,4.55385828,6.29
3.5,6.51372051,1.71
1.3,8.0854969,1.21
22.2,1.507522464,109.61
22.5,9.14739609,8.1
7.5,27.17226029,6.6499996
2.0,32.79916382,6.2500005
1.0,1.280574084,1.05
3.5,26.51655007,1.08
2.5,2.701778889,3.1100001
1.0,5.269325735,2.01
8.0,30.63650131,1.4300001
20.0,71.78442385,27.51
32.0,1.373457909,28.66
3.0,12.21031952,21.530003
61.0,35.02967835,2.9800003
7.0,14.67937184,4.88
3.5,4.434751988,2.06
2.0,11.85890293,6.34
35.0,25.02809716,3.44
11.0,3.947379113,21.65
4.5,3.420857191,6.13
31.0,2.146751881,47.380005
2.0,21.10358238,82.47
15.0,2.37749362,6.38
38.0,11.68755818,2.21
6.0,2.17284298,63.430004
21.0,7.695138455,60.98
3.0,11.97859764,30.349998
2.0,14.64129257,1.68
6.0,5.88892269,4.81
13.0,1.734639526,24.029999
5.0,4.035034657,23.36
1.7,1.285043836,1.87
1.5,1.238770008,24.31
5.5,19.83879471,2.27
9.2,4.221150399,10.42
8.0,23.05646897,13.280001
2.0,1.394252658,17.740002
16.0,7.788359165,2.06
4.0,6.4100194,21.4
16.0,67.55716705,11.23
21.0,1.351992965,61.07
5.0,5.084335325,45.9
12.0,12.95212364,4.08
23.0,25.68342018,4.21
6.0,1.988664508,9.7
3.0,3.016326189,10.969999
8.0,2.866974354,25.95
1.0,2.696616888,2.54
1.0,1.581075788,2.5
41.0,2.780577898,4.09
8.0,1.417200446,26.240002
4.0,1.385309816,7.45
10.5,7.5372777,12.17
16.0,7.932168005,69.51
18.0,1.451128483,10.07
11.0,1.840451598,3.63
17.0,1.065397263,2.3
26.0,4.893643856,2.9599998
1.0,1.452208638,2.23
19.0,37.93759156,3.18
4.0,12.90710354,5.83
37.0,6.14060068,1.39
16.4,8.097572325,3.87
5.4,23.57411003,1.8499999
1.0,6.214107035,11.530001
2.9,6.978374005,1.76
5.5,43.03276825,2.3600001
1.0,1.466169358,6.4300003
1.0,1.140809417,3.33
21.5,1.293450475,10.71
7.6,3.49955225,2.32
2.0,14.28147984,1.7900001
1.0,3.699310303,34.33
12.0,4.277731419,2.23
45.0,5.301327705,1.99
69.2,7.982951165,10.09
8.6,3.936149597,10.08
1.0,1.424581647,2.6699998
9.2,4.491571904,46.879997
17.5,2.771928311,1.0
20.0,9.17326832,4.99
3.1,2.072081805,1.12
7.0,5.55553627,1.27
32.7,14.50772381,2.66
26.0,2.33113885,2.65
2.5,5.78749275,48.21
27.3,11.18823529,5.89
49.5,5.236501695,17.56
2.5,7.31285858,8.110001
24.0,1.520752192,1.1600001
9.7,9.462599755,1.9200001
1.6,20.17654228,1.72
3.0,10.11459542,4.84
8.6,27.88303757,4.3
21.0,12.77318192,1.93
1.5,1.652448058,2.9099998
2.3,2.164780855,5.19
1.2,5.11115074,2.9099998
3.1,4.954486847,6.77
4.9,1.114153981,2.13
1.0,2.178640366,2.49
3.8,3.012405396,33.73
22.8,51.1032982,36.66
65.5,11.25961972,72.69
3.0,6.713029385,5.6
14.2,2.496469736,3.9700003
4.0,12.115098,37.68
9.3,2.551826239,2.21
18.2,14.48979855,3.06
24.0,7.24518347,1.51
1.3,21.97145844,79.93
11.3,5.81929302,29.16
2.0,35.17000199,1.5
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20.0,6.99955845,3.4099998
25.0,7.06923151,13.52
9.0,2.061743498,11.83
6.0,15.1108923,5.86
6.0,3.659174204,8.83
21.0,25.09469795,63.71
12.0,12.78966046,1.03
7.0,3.70449996,4.68
2.0,81.32299805,1.62
10.0,1.47226286,2.44
11.0,1.767955542,4.1099997
9.0,14.35262299,4.1800003
2.0,26.53904343,7.3300004
7.0,29.06570626,1.6500001
10.0,1.977015496,24.59
3.0,4.072252751,29.779999
4.0,56.03784945,74.07
29.0,50.3431473,14.5
2.0,2.982461214,1.08
1.0,1.07741952,3.1200001
2.0,23.38036537,10.590001
1.0,19.09048653,55.350002
1.0,41.51933289,5.07
1.0,5.85829115,1.5
3.0,81.27360535,6.6
16.0,7.64243841,4.65
2.0,32.28141022,13.530001
40.0,2.746798277,7.29
3.0,1.134368301,1.86
1.0,1.18452096,1.29
4.0,11.01940632,14.890001
44.0,2.367835284,45.96
6.0,9.290693285,8.3
13.0,6.92009163,1.75
10.0,12.8741827,5.77
5.0,7.534250735,2.24
21.0,14.394454,1.32
20.0,6.47271347,1.48
12.0,1.485815168,1.3
29.0,1.470686913,2.6499999
46.0,2.631582499,13.61
22.0,3.658107281,1.3499999
8.0,3.507339239,2.4399998
11.0,9.38621521,1.08
21.0,1.363355041,5.6800003
2.0,2.211771965,2.9899998
