Loyha Metodologiyasi nima? Barcha javoblar to’g’ri

names=np.array(["Hasan","Ali","Shohrux","Hasan","Mirzabek"]) masiviga mos data=np.random.randn(5,4) data masivi mavjud shu malumotlardan “Hasan”ga tegishli ma’lumotlarni ajratib oling.

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  data[names=="Hasan"]
  
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  data([names=="Hasan"])
  
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  data[names="Hasan"]
  
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  data(names=="Hasan")
  

23. 
    names1=np.array(["Hasan","Ali","Shohrux","Hasan","Mirzabek"]) masiviga mos data1=np.random.randn(5,4) data masivi mavjud shu malumotlardan “Ali”ga tegishli bo’lmagan ma’lumotlarni ajratib oling.
    

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  data[names!="Ali"]
  
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  data([names!=" Ali "])
  
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  data[names==" Ali "]
  
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  data[names=="Ali"]
  

24. 
    names1=np.array(["Hasan","Ali","Shohrux","Hasan","Mirzabek"]) masiviga mos data1=np.random.randn(5,4) data masivi mavjud shu malumotlardan “Ali”ga va “Shohrux”tegishli bo’lmagan ma’lumotlarni ajratib oling.
    

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  data[(names != "Ali") | (names != "Shohrux")]
  
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  data[(names != " Shohrux ") & (names != " Ali ")]
  
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  data[(names == "Ali") | (names == "Shohrux")]
  
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  data[(names == "Ali") | (names != "Shohrux")]
  

25. 
    names2=np.array(["Hasan","Ali","Shohrux","Hasan","Mirzabek"]) masiviga mos data2=np.random.randn(5,4) data masivi mavjud shu malumotlardan “Hasan”ga va “Mirzabek”tegishli bo’lgan ma’lumotlarni ajratib oling.
    

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  data[(names == " Hasan") | (names == "Mirzabek")]
  
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  data[(names == " Mirzabek ") & (names == "Hasan")]
  
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  data[(names != " Hasan") | (names != " Mirzabek ")]
  
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  data[(names == "Hasan ") | (names != "Mirzabek ")]
  

26. 
    data=np.random.randn(4,4) ning 0 dan katta elimentlarini 1 ga almashtiruvchi kodni ko’rsating.
    

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  data[data>0]=1
  
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  data[data<0]=1
  
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  data(data>0)=1
  
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  data([data>0])=1
  

27. 
    arr=np.arange(24) shu massivni sakkizga turt massiv ko’rinishiga keltiruvchi kodni yozing.
    

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  arr.reshape(8,4)
  
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  arr.shape(8,4)
  
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  arr.resize(8,4)
  
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  arr.reshape(4,8)
  

28. 
    data1=np.arange(10) data1 massivining mos ravishda elimentlarining kvadrat ildizi va elementlarini kvadratga ko’taruvchi metodlarni toping.
    

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  np. sqrt(data1) va np.square(data1)
  
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  np.square(data1) va np. sqrt(data1)
  
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  np.exp(data1) va np.sqrt(data1)
  
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  pd.sqrt(data1) va pd.square(data1)
  

29. 
    data=np.arange(1,10) data massivining mos ravishda elimentlarining logorifimini va elementlarini exponintini hisoblovchi metodlarni toping.
    

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  np.log(data) va np.exp(data)
  
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  np.exp(data) va np.log(data)
  
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  np.modf(data) va np.exp(data)
  
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  np.sqrt(data) va np.log(data)
  

30. 
    massiv1=np.arange(0.1,0.8,0.1), massiv2=np.arange(1.1,1.8,0.1)) ikkala massivni mos elementlarini ko’paytirish metodilarini ko’rsating.
    

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  np.multiply(massiv1,massiv2) va massiv1*massiv2
  
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  np.add(massiv1,massiv2) va massiv1*massiv2
  
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  np.maximum(massiv1,massiv2) va np.add(massiv1,massiv2)
  
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  np.power(massiv1,massiv2) va massiv1*massiv2
  

31. 
    arr massivining elementlari agar 0 dan katta bo’lsa 1 ga aks holda -1 ga almashtiruvchi kodni toping.
    

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  np.where(arr>0,1,-1)
  
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  arr.where(arr>0,1,-1)
  
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  np.where(arr<0,1,-1)
  
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  np.where(arr>0,-1,1)
  

32. 
    arr=np.arange(1,21).reshape(5,4) massivning elimentlarini vertikal yunalishda yug’indisini topuvchi kodni ko’rsating.
    

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  np.sum(arr,axis=0)
  
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  pd.sum(arr,axis=0)
  
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  np.sum(arr,axis=1)
  
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  pd.sum(arr,axis=1)
  

33. 
    arr=np.arange(1,21).reshape(5,4) massivning elimentlarini garizantal yunalishda yug’indisini topuvchi kodni ko’rsating.
    

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  np.sum(arr,axis=1)
  
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  pd.sum(arr,axis=1)
  
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  np.mean(arr,axis=0)
  
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  pd.sum(arr,axis=0)
  

34. 
    arr=np.arange(1,21).reshape(5,4) massivning elimentlarini vertikal yunalishda o’rtacha qiymatini topuvchi kodni ko’rsating.
    

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  np.mean(arr,axis=0)
  
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  pd.mean(arr,axis=0)
  
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  np.sum(arr,axis=1)
  
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  pd.mean(arr,axis=1)
  

35. 
    arr=np.arange(1,21).reshape(5,4) massivning elimentlarini garizantal yunalishda o’rtacha qiymatini topuvchi kodni ko’rsating.
    

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  np.mean(arr,axis=1)
  
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  pd.mean(arr,axis=1)
  
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  np.sum(arr,axis=0)
  
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  np.mean(arr,axis=0)
  

36. 
    Yig'indilab boradigan yig'indi metodini ko’rsating
    

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  cumsum()
  
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  cumprod()
  
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  mean()
  
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  sum()
  

37. 
    Yig'ilib boriladigan ko'paytma metodini ko’rsating.
    

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  cumprod()
  
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  cumsum()
  
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  sum()
  
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  mean()
  

38. 
    arr=np.random.randn(10) massivni teskari tartiblang.
    

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  -np.sort(-arr)
  
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  np.sort(-arr)
  
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  -np.sort(arr)
  
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  np.sort(arr)
  

39. 
    ikki ulchamli (3x4) arr massivini elimentlarini vertikal yunalishda elimentlarini tartiblang.
    

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  np.sort(arr,axis=0)
  
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  np.sorted(arr,axis=0)
  
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  pd.sort(arr,axis=1)
  
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  np.sort(arr,axis=1)
  

40. 
    ikki ulchamli (3x4) arr massivini elimentlarini garizantal yunalishda elimentlarini tartiblang.
    

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  np.sort(arr,axis=1)
  
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  np.sorted(arr,axis=1)
  
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  pd.sort(arr,axis=0)
  
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  np.sort(arr,axis=0)
  

41. 
    massivdagi takrorlanmas elementlarni qaytaruvchi (takrorlansa ham faqat bittasini qabul qiluvchi) funksiyani ko’rsating.
    

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  np.unique()
  
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  np.in1d()
  
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  np.setdiff1d()
  
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  pd.setdiff1d()
  

42. 
    arr1 va arr2 massivlari mavjud. arr2 dagi elementlarni arr1 da mavjudligini tekshirish kodini tug’ri ko’rsating.
    

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  np.in1d(arr1,arr2)
  
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  np.setdiff1d(arr1,arr2)
  
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  np.in1d(arr2,arr1)
  
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  np.setdiff1d(arr2,arr1)
  

43. 
    arr1 massivining arr2 massividagi takrorlanmas qismini qaytaruvchi kodni ko’rsating.
    

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  np.setdiff1d(arr1,arr2)
  
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  pd.setdiff1d(arr2,arr1)
  
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  np.in1d(arr1,arr2)
  
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  pd.in1d(arr2,arr1)
  

44. 
    arr1 massivini .npy fayl kengaytmada saqlash kodini ko’rsating.
    

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  np.save("data.npy",arr1)
  
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  np.savez("data.npy",arr1)
  
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  pd.save("data.npy",arr1)
  
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  pd.savez_compressed("data.npy",arr1)
  

45. 
    arr1 va arr2 massivlarini faylda saqlash uchun to’g’ri kodni ko’rsating.
    

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  np.savez("data.npz",x=arr1,y=arr2)
  
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  pd.savez("data.npz",x=arr1,y=arr2)
  
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  np.save("data.npz",x=arr1,y=arr2)
  
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  np.save("data.npy",x=arr1,y=arr2)
  

46. 
    array([2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6, 7]) ko'rinishdagi massiv ustida unique funksiyasiga argument sifatida uzatadigan bo'lsak, natija qanday bo'ladi?
    

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  array([2, 3, 4, 5, 6, 7])
  
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  array([2, 2,3,3, 4,4 ,5, 6, 7])
  
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  array([7,6,5,4,3,2])
  
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  array([1,2, 3, 4, 5, 6, 7])
  

47. 
    array([0, 1, 2, 3]) massivi ustida cumsum metodini bajsak, eng oxirgi element qanday qiiymatga ega bo'lib qoladi?
    

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  6
  
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  5
  
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  4
  
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  0
  
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  1
  

48. 
    where funksiyasining bajaradigan vazifasi qanday (tassavur qiling, a va b massivda qo'llanildi)?
    

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  berilgan shartga ko\'ra, a yoki b massivning elementlarini qaytaruvchi funksiya
  
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  berilgan shartga ko\'ra, a yoki b massivning elementlarini kattasini qaytaruvchi funksiya
  
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  faqat shart bajarilmaganda bajariluvchi funksiya.
  
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  To’g’ri javob berilmagan.
  

49. 
    Series obyektining qiymarlarini ko'rish uchun uning qaysi parametriga murojaat qilamiz.
    

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  .values
  
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  .np.values()
  
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  pd.index
  
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  np.index
  

50. 
    pandas kutubxonasi tarkibidagi ikki eng muhim ma'lumotlar turi qanday ataladi?
    

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  Series, DataFrame
  
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  Massiv, Obyekt
  
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  DataFrame va Massiv
  
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  Obyekt, DataFrame.