import numpy
x = numpy.random.uniform(0.0, 5.0, 250)
print(x)

[0.17946572 2.32219161 0.18934418 1.82162521 1.59162147 0.54635267 
 2.44499023 2.34568246 0.57350099 4.55370988 1.06062319 1.27923664 
 0.385706   0.87962984 0.68588784 4.4162117  0.24180221 0.2093519 
 2.95518983 4.58848847 0.97791905 0.02621364 2.63128696 3.50801208 
 4.5377773  1.32584789 2.92509257 1.30882817 2.96282421 4.82504129 
 4.82823323 0.14981561 1.71283778 1.46287599 2.04795432 4.86712256 
 2.57991716 2.02938383 1.40714847 3.08935754 4.88406483 3.90742459 
 3.66097583 3.71369692 2.93289684 4.83191128 2.77667798 4.93069696 
 1.62304667 0.87760554 2.70527059 1.44847975 1.09857957 4.59412576 
 1.95394356 2.00140027 4.94018383 2.03265004 0.35025816 4.20108624 
 4.66743431 0.11120526 3.35859297 2.03318906 1.29014243 1.9655744 
 1.40202471 2.7598193  2.69650886 3.13747564 1.7780115  0.33804047 
 4.95974949 1.28741501 3.24814622 3.04697963 1.01406724 2.48639059 
 2.49032162 0.0823857  0.62740879 0.99449206 1.39554869 3.87099639 
 2.37139558 0.23952776 1.00843479 4.55360346 4.94720853 0.84871001 
 1.6398664  0.97468032 0.90700492 1.17272503 4.27084102 1.38948562 
 2.34181502 4.75568963 3.52776339 1.93441554 4.87709235 3.74530643 
 3.9975462  2.82720806 3.74524148 0.01975848 4.33253149 3.54387409 
 4.48281077 4.28892963 4.94326465 3.26352283 0.34243638 3.01846409 
 1.7587625  0.24776364 4.47579695 3.4040576  2.7463264  0.18288662 
 3.74013185 4.84744046 0.2339886  4.95259157 0.83779691 2.6556716 
 1.47302649 0.01861863 0.61084778 4.19358525 2.73145098 3.29335442 
 1.4507033  4.09868195 3.01892235 4.75958955 2.94028417 2.83680078 
 0.95605695 4.28062833 0.0388657  2.55384113 3.27518035 0.09401306 
 3.49635162 3.4425639  2.49294885 3.84333305 2.98660606 0.04491348 
 3.56437768 3.92588322 2.57606741 3.82999141 0.17751132 3.49126215 
 2.34229898 1.65846507 1.31955771 2.55094569 3.80440622 4.2313968 
 2.15136105 3.81496107 1.00921623 0.0498501  4.01822449 2.38020749 
 3.92743216 3.40007576 0.17719759 1.80779101 3.70382939 0.51672768 
 2.57786934 1.01109495 0.21992335 2.68410475 4.94191733 4.99364591 
 0.26092025 1.20219249 2.01377648 3.6080657  2.47450976 4.26451446 
 4.58835036 3.78577692 1.14126629 3.89625688 1.22922731 0.42438031 
 2.2622816  1.4510637  4.37661456 1.10899445 4.28833687 3.94039913 
 0.59618106 2.91973711 1.6511646  1.91974711 0.5274802  4.29063391 
 2.04030104 1.00498261 4.2899824  2.20825705 1.89396499 3.69340518 
 3.62867045 2.20934233 1.81181686 1.73302459 2.16947781 1.68942217 
 1.00544988 0.5599015  4.78472944 1.49927966 2.27891342 0.97507184 
 2.36096282 0.25083606 3.68638314 0.21005797 0.26854432 0.49555296 
 2.3667063  0.93851272 2.20363126 4.16682109 3.34394461 3.08082574 
 4.09514521 3.01205365 1.40616774 3.33079878 0.47628818 2.34098687 
 1.39445805 2.15242036 3.67514924 3.8718004  1.8595215  3.82621163 
 4.49271774 3.41728958 3.9089966  2.8857063 ]

import numpy
import matplotlib.pyplot as plt
x = numpy.random.uniform(0.0, 5.0, 250)
plt.hist(x, 5)
plt.show()

import numpy
import matplotlib.pyplot as plt
x = numpy.random.uniform(0.0, 5.0, 100000)
plt.hist(x, 100)
plt.show()