In [38]:
#pretypuj cislo na string
cislo = 11
print(str(cislo))
11

Do premennej name uloz svoje meno ako string. Pomocou for cyklu prejdi vsetkymi pismenami tvojho mena a uloz ich do pola. (Poznamka, predtym si to pole vytvor ako prazdne). Finalne hodnoty pola vypis reverzne (poznamka, skus si vygooglit metodu reverse)

dělá se to přes extend, to projde proměnnou a přidá to nakonec, dají se tem dělat různé srandy http://stackoverflow.com/questions/252703/append-vs-extend append adds its argument as a single element to the end of a list. The length of the list itself will increase by one. extend iterates over its argument adding each element to the list, extending the list. The length of the list will increase by however many elements were in the iterable argument.

In [39]:
name = "marketa"
jmeno = []
In [40]:
for i in name:
    jmeno.extend(i)
print(jmeno)  
['m', 'a', 'r', 'k', 'e', 't', 'a']
In [41]:
"""
Napis program, ktory pomocou while cyklu sa bude uzivatela dovtedy pytat na zadanie vstupu, kym nebudu vstup
zadany spravne. Spravny vstup je, ak je to cislo vetsie ako nula. V tom pripade cyklus ukonci (na ukoncenie sa 
pouziva break). Na pokracovanie sa pouziva continue.
Poznamka: Pouzi try a except, s ktorym sme uz pracovali. Finalne vypis pocet suborov, ktore zadal uzivatel
"""
Out[41]:
'\nNapis program, ktory pomocou while cyklu sa bude uzivatela dovtedy pytat na zadanie vstupu, kym nebudu vstup\nzadany spravne. Spravny vstup je, ak je to cislo vetsie ako nula. V tom pripade cyklus ukonci (na ukoncenie sa \npouziva break). Na pokracovanie sa pouziva continue.\nPoznamka: Pouzi try a except, s ktorym sme uz pracovali. Finalne vypis pocet suborov, ktore zadal uzivatel\n'
In [42]:
i = 10
while (i <= 0):
    print ("zadej cislo vetsi nez 0")
    break
else:
    print("spravne")
spravne
In [43]:
#nejde dobře, nevypisuje to pro <0 správnou odpověď
data = [-1]
In [44]:
for result in data:
    try:
        i > 0
        print("spravne")
        break
    except: 
        i <= 0
        print("zadej cislo vetsi nez 0")
spravne
In [45]:
while 1:
    try:
        number_of_files = int(input("Enter the number of downloaded files: "))
        if number_of_files < 0:
            print ("Error. Enter the number bigger then 0")
            continue
        break
    except ValueError:
        print ("Error. This is not a number")
        continue

print("Number of downloaded files:", number_of_files)
Enter the number of downloaded files: 7
Number of downloaded files: 7
In [46]:
"""Napíš program, ktorý vo vete "Ahoj, ja som Harry Potter a toto je mojich 12 potkanov." 
zráta počet znakov a počet čísel."""
Out[46]:
'Napíš program, ktorý vo vete "Ahoj, ja som Harry Potter a toto je mojich 12 potkanov." \nzráta počet znakov a počet čísel.'
In [47]:
harry = "Ahoj, ja som Harry Potter a toto je mojich 12 potkanov."
In [48]:
len(harry)
Out[48]:
55
In [49]:
s = input("Enter the sentence: ")
d = {"DIGITS" : 0, "LETTERS" : 0}
for c in s:
    if c.isdigit():
        d["DIGITS"]+=1
    elif c.isalpha():
        d["LETTERS"]+=1
    else:
        pass
print ("LETTERS IS: ", d["LETTERS"])
print ("DIGITS IS: ", d["DIGITS"])
Enter the sentence: "a"
LETTERS IS:  1
DIGITS IS:  0
In [50]:
#výpočet čísel
numbers = sum(c.isdigit() for c in harry)
print(numbers)
2
In [51]:
#další věci
words   = sum(c.isalpha() for c in s)
spaces  = sum(c.isspace() for c in s)
others  = len(s) - numbers - words - spaces
In [52]:
"""Napíš program, ktorý vypíše všetky párne (sudé) čísla"""
Out[52]:
'Napíš program, ktorý vypíše všetky párne (sudé) čísla'
In [53]:
for i in range (0,13):
    if i % 2 ==0:
        print(i)
    else:
        continue
0
2
4
6
8
10
12
In [54]:
"""Napíš program, ktorý vykreslí:
*****
*****
*****
*****
*****

Poznamka: na vygenorovanie ratania od 1-5 pouzi range()
"""
Out[54]:
'Napíš program, ktorý vykreslí:\n*****\n*****\n*****\n*****\n*****\n\nPoznamka: na vygenorovanie ratania od 1-5 pouzi range()\n'
In [55]:
for i in range(0,5):
    print("*****")
*****
*****
*****
*****
*****
In [56]:
"""
Skus napisat print("tvojemeno", sep=',')
"""
Out[56]:
'\nSkus napisat print("tvojemeno", sep=\',\')\n'
In [57]:
#tohle nevím, k čemu je
print("tvojemeno", sep=",")
tvojemeno
In [58]:
"""
Co vracia funkcia range()
"""
Out[58]:
'\nCo vracia funkcia range()\n'
In [59]:
"""
Skus napisat range(1,10,2)

vidis rozdiely a chapes co funkcia vracia?
"""
Out[59]:
'\nSkus napisat range(1,10,2)\n\nvidis rozdiely a chapes co funkcia vracia?\n'
In [60]:
k= range(1,10,2)

for i in range(1, 10,2):
    print (i)
#asi to takhle nejde
1
3
5
7
9
In [61]:
"""
Napis program, ktory sa spyta na meno uzivatela a podla toho uhadne jeho pohlavie.
"""
Out[61]:
'\nNapis program, ktory sa spyta na meno uzivatela a podla toho uhadne jeho pohlavie.\n'
In [62]:
#maximálně příjmení a to ještě ne vždy, jen když končí na ová, 
#to input dělá to, že se dole objeví možnost na vypsání
prijmeni = input('Zadej své příjmení: ')
konec_prijmeni = prijmeni[-3:]
if konec_prijmeni == "ová" or konec_prijmeni == "ova":
    print("Pohlaví: žena")
else:
    print("Pohlaví: muž")
Zadej své příjmení: "a"
Pohlaví: muž
In [63]:
"""
Najdi na internete text svojej oblubenej pesnicky. Uloz si ho do premennej a vypis, kolko krat sa tam
nachadza pismeno d.
"""
Out[63]:
'\nNajdi na internete text svojej oblubenej pesnicky. Uloz si ho do premennej a vypis, kolko krat sa tam\nnachadza pismeno d.\n'
In [64]:
pisen = "Jako vášeň, která hasne v kouři,namačkaná bez ostychu, v zástup živočichů,jako jas dálkových světel,jako nad talířem večer mi mizíš.a mizíš někde v dávno,jsi láska, co mě škrtí, já na pokraji smrti,ve svém paralelním světětoužím po odvetě a křičím."
print(pisen)
Jako vášeň, která hasne v kouři,namačkaná bez ostychu, v zástup živočichů,jako jas dálkových světel,jako nad talířem večer mi mizíš.a mizíš někde v dávno,jsi láska, co mě škrtí, já na pokraji smrti,ve svém paralelním světětoužím po odvetě a křičím.
In [65]:
pisen.count('d')
Out[65]:
5
In [66]:
"""
Sprav zoznam, do ktoreho ulozis mena domacich zvierat.
"""
Out[66]:
'\nSprav zoznam, do ktoreho ulozis mena domacich zvierat.\n'
In [67]:
zver = ["krava", "kocka", "pes", "žirafa", "kozel"]
In [68]:
"""
Vypis mena zvierat, ktore su dlhsie ako 3 pismena.
"""
Out[68]:
'\nVypis mena zvierat, ktore su dlhsie ako 3 pismena.\n'
In [69]:
for i in zver:
    if len(i) > 3:
        print(i)
krava
kocka
žirafa
kozel
In [70]:
"""
Napis program, ktory zoradi mena zvierat v zozname podla abecedy. Poznamka, skus si vyhladat sama v Googli
ako sa triedia prvky listu v Pythone.
"""
Out[70]:
'\nNapis program, ktory zoradi mena zvierat v zozname podla abecedy. Poznamka, skus si vyhladat sama v Googli\nako sa triedia prvky listu v Pythone.\n'
In [71]:
sorted(["krava", "kocka", "pes", "žirafa", "kozel"])
Out[71]:
['kocka', 'kozel', 'krava', 'pes', 'žirafa']
In [72]:
zver.sort()
zver
Out[72]:
['kocka', 'kozel', 'krava', 'pes', 'žirafa']

Najdi na internete aspon 3 sluzby, ktore maju API:

1. National History Museum http://data.nhm.ac.uk/about/download
2. Face detection https://market.mashape.com/faceplusplus/faceplusplus-face-detection
3. Hromada různých API https://market.mashape.com/#!documentation

Najdi na internete priklad xml a opis rozdiely, ktore si medzi json z api a xmlk nasla https://docs.oracle.com/cd/B10501_01/appdev.920/a96620/xdb04cre.htm XMLType datatype can be used as the datatype of columns in tables and views. Variables of XMLType can be used in PL/SQL stored procedures as parameters, return values, and so on. You can also use XMLType in SQL, PL/SQL, and Java (through JDBC) příklad: https://www.w3schools.com/xml/schema_intro.asp rozdíly JSON a XML https://www.w3schools.com/js/js_json_xml.asp JSON is Like XML Because Both JSON and XML are "self describing" (human readable) Both JSON and XML are hierarchical (values within values) Both JSON and XML can be parsed and used by lots of programming languages Both JSON and XML can be fetched with an XMLHttpRequest

JSON is Unlike XML Because JSON doesn't use end tag JSON is shorter JSON is quicker to read and write JSON can use arrays The biggest difference is:

XML has to be parsed with an XML parser. JSON can be parsed by a standard JavaScript function.

Naštuduj si iné HTTP stavy. Ak sa nám dáta z API vrátia je to stav OK - 200. Link napriklad http://www.restapitutorial.com/httpstatuscodes.html Napis aspon 3 dalsie status kody, ktore nam moze server vratit a opis co znamenaju 402 payment required 503 service unavailable 102 processing

Stiahni si data z csv suboru a uloz k sebe do zlozky csv, ktoru si na zaciatku vytvorila. https://raw.githubusercontent.com/czechitas/digital-academy-03-programming-python/master/03/baby-names2.csv

In [73]:
import requests
baseUrl = 'https://raw.githubusercontent.com/czechitas/digital-academy-03-programming-python/master/03/baby-names2.csv'
data = requests.get(baseUrl)
In [74]:
print(data)
<Response [200]>
In [76]:
import pandas as pd
data = pd.read_csv('baby-names2.csv', encoding="utf-8")
df = pd.DataFrame(data)
print(type(pd.DataFrame(data)))
<class 'pandas.core.frame.DataFrame'>
In [77]:
print(data)
        year      name      prop   sex soundex
0       1880      John  0.081541   boy    J500
1       1880   William  0.080511   boy    W450
2       1880     James  0.050057   boy    J520
3       1880   Charles  0.045167   boy    C642
4       1880    George  0.043292   boy    G620
5       1880     Frank  0.027380   boy    F652
6       1880    Joseph  0.022229   boy    J210
7       1880    Thomas  0.021401   boy    T520
8       1880     Henry  0.020641   boy    H560
9       1880    Robert  0.020404   boy    R163
10      1880    Edward  0.019965   boy    E363
11      1880     Harry  0.018175   boy    H600
12      1880    Walter  0.014822   boy    W436
13      1880    Arthur  0.013504   boy    A636
14      1880      Fred  0.013251   boy    F630
15      1880    Albert  0.012609   boy    A416
16      1880    Samuel  0.008648   boy    S540
17      1880     David  0.007339   boy    D130
18      1880     Louis  0.006993   boy    L200
19      1880       Joe  0.006174   boy    J000
20      1880   Charlie  0.006165   boy    C640
21      1880  Clarence  0.006165   boy    C465
22      1880   Richard  0.006148   boy    R263
23      1880    Andrew  0.005439   boy    A536
24      1880    Daniel  0.005430   boy    D540
25      1880    Ernest  0.005194   boy    E652
26      1880      Will  0.004966   boy    W400
27      1880     Jesse  0.004805   boy    J200
28      1880     Oscar  0.004594   boy    O260
29      1880     Lewis  0.004366   boy    L200
...      ...       ...       ...   ...     ...
257970  2008     Chana  0.000133  girl    C500
257971  2008      Avah  0.000132  girl    A100
257972  2008     Donna  0.000132  girl    D500
257973  2008    Kaylah  0.000132  girl    K400
257974  2008    Ashtyn  0.000131  girl    A235
257975  2008    Karsyn  0.000131  girl    K625
257976  2008   Makaila  0.000131  girl    M240
257977  2008    Shayna  0.000131  girl    S500
257978  2008   Essence  0.000131  girl    E252
257979  2008   Leticia  0.000130  girl    L320
257980  2008      Miya  0.000130  girl    M000
257981  2008      Rory  0.000130  girl    R600
257982  2008   Desirae  0.000130  girl    D260
257983  2008    Kianna  0.000130  girl    K500
257984  2008    Laurel  0.000130  girl    L640
257985  2008    Neveah  0.000130  girl    N100
257986  2008    Amaris  0.000129  girl    A562
257987  2008  Hadassah  0.000129  girl    H320
257988  2008     Dania  0.000129  girl    D500
257989  2008    Hailie  0.000129  girl    H400
257990  2008    Jamiya  0.000129  girl    J500
257991  2008     Kathy  0.000129  girl    K300
257992  2008    Laylah  0.000129  girl    L400
257993  2008      Riya  0.000129  girl    R000
257994  2008      Diya  0.000128  girl    D000
257995  2008  Carleigh  0.000128  girl    C642
257996  2008     Iyana  0.000128  girl    I500
257997  2008    Kenley  0.000127  girl    K540
257998  2008    Sloane  0.000127  girl    S450
257999  2008   Elianna  0.000127  girl    E450

[258000 rows x 5 columns]
In [78]:
#Nacitaj data do pandas dataframu a uloz do premennej names
#dalo by se to roznou pojmenovat names, vidím výše rozdíl mezi tím, když dám print a když nedám
names = data
names
Out[78]:
year name prop sex soundex
0 1880 John 0.081541 boy J500
1 1880 William 0.080511 boy W450
2 1880 James 0.050057 boy J520
3 1880 Charles 0.045167 boy C642
4 1880 George 0.043292 boy G620
5 1880 Frank 0.027380 boy F652
6 1880 Joseph 0.022229 boy J210
7 1880 Thomas 0.021401 boy T520
8 1880 Henry 0.020641 boy H560
9 1880 Robert 0.020404 boy R163
10 1880 Edward 0.019965 boy E363
11 1880 Harry 0.018175 boy H600
12 1880 Walter 0.014822 boy W436
13 1880 Arthur 0.013504 boy A636
14 1880 Fred 0.013251 boy F630
15 1880 Albert 0.012609 boy A416
16 1880 Samuel 0.008648 boy S540
17 1880 David 0.007339 boy D130
18 1880 Louis 0.006993 boy L200
19 1880 Joe 0.006174 boy J000
20 1880 Charlie 0.006165 boy C640
21 1880 Clarence 0.006165 boy C465
22 1880 Richard 0.006148 boy R263
23 1880 Andrew 0.005439 boy A536
24 1880 Daniel 0.005430 boy D540
25 1880 Ernest 0.005194 boy E652
26 1880 Will 0.004966 boy W400
27 1880 Jesse 0.004805 boy J200
28 1880 Oscar 0.004594 boy O260
29 1880 Lewis 0.004366 boy L200
... ... ... ... ... ...
257970 2008 Chana 0.000133 girl C500
257971 2008 Avah 0.000132 girl A100
257972 2008 Donna 0.000132 girl D500
257973 2008 Kaylah 0.000132 girl K400
257974 2008 Ashtyn 0.000131 girl A235
257975 2008 Karsyn 0.000131 girl K625
257976 2008 Makaila 0.000131 girl M240
257977 2008 Shayna 0.000131 girl S500
257978 2008 Essence 0.000131 girl E252
257979 2008 Leticia 0.000130 girl L320
257980 2008 Miya 0.000130 girl M000
257981 2008 Rory 0.000130 girl R600
257982 2008 Desirae 0.000130 girl D260
257983 2008 Kianna 0.000130 girl K500
257984 2008 Laurel 0.000130 girl L640
257985 2008 Neveah 0.000130 girl N100
257986 2008 Amaris 0.000129 girl A562
257987 2008 Hadassah 0.000129 girl H320
257988 2008 Dania 0.000129 girl D500
257989 2008 Hailie 0.000129 girl H400
257990 2008 Jamiya 0.000129 girl J500
257991 2008 Kathy 0.000129 girl K300
257992 2008 Laylah 0.000129 girl L400
257993 2008 Riya 0.000129 girl R000
257994 2008 Diya 0.000128 girl D000
257995 2008 Carleigh 0.000128 girl C642
257996 2008 Iyana 0.000128 girl I500
257997 2008 Kenley 0.000127 girl K540
257998 2008 Sloane 0.000127 girl S450
257999 2008 Elianna 0.000127 girl E450

258000 rows × 5 columns

In [79]:
#Vypis si prvych n riadkov pomocou names.head()
#vypíše 5
names.head()
Out[79]:
year name prop sex soundex
0 1880 John 0.081541 boy J500
1 1880 William 0.080511 boy W450
2 1880 James 0.050057 boy J520
3 1880 Charles 0.045167 boy C642
4 1880 George 0.043292 boy G620
In [80]:
#Vypis si poslednych n riadkov pomocou names.tail()
#taky 5
names.tail()
Out[80]:
year name prop sex soundex
257995 2008 Carleigh 0.000128 girl C642
257996 2008 Iyana 0.000128 girl I500
257997 2008 Kenley 0.000127 girl K540
257998 2008 Sloane 0.000127 girl S450
257999 2008 Elianna 0.000127 girl E450

Zobraz si iba mena, z roku v akom si sa narodila ty. Pomocka: Kod pre rok 1990 by vyzeral nasledovne names[names.year==1990].head()

In [81]:
#nezobrazí to všechny z daného roku
names[names.year==1992].head()
Out[81]:
year name prop sex soundex
112000 1992 Michael 0.025914 boy M240
112001 1992 Christopher 0.020289 boy C623
112002 1992 Matthew 0.017991 boy M300
112003 1992 Joshua 0.017263 boy J200
112004 1992 Andrew 0.014550 boy A536
In [82]:
#to udělá tohle s mezerou
names[names.year==1992]
Out[82]:
year name prop sex soundex
112000 1992 Michael 0.025914 boy M240
112001 1992 Christopher 0.020289 boy C623
112002 1992 Matthew 0.017991 boy M300
112003 1992 Joshua 0.017263 boy J200
112004 1992 Andrew 0.014550 boy A536
112005 1992 Brandon 0.014119 boy B653
112006 1992 Daniel 0.013878 boy D540
112007 1992 Tyler 0.013731 boy T460
112008 1992 James 0.013586 boy J520
112009 1992 David 0.013534 boy D130
112010 1992 Joseph 0.013289 boy J210
112011 1992 Nicholas 0.013232 boy N242
112012 1992 Ryan 0.012878 boy R500
112013 1992 John 0.012498 boy J500
112014 1992 Jacob 0.012221 boy J210
112015 1992 Zachary 0.011824 boy Z260
112016 1992 Robert 0.011483 boy R163
112017 1992 Justin 0.011259 boy J235
112018 1992 Anthony 0.011041 boy A535
112019 1992 William 0.010995 boy W450
112020 1992 Jonathan 0.010199 boy J535
112021 1992 Kyle 0.009875 boy K400
112022 1992 Alexander 0.009559 boy A425
112023 1992 Cody 0.009473 boy C300
112024 1992 Kevin 0.009362 boy K150
112025 1992 Eric 0.007691 boy E620
112026 1992 Thomas 0.007286 boy T520
112027 1992 Dylan 0.007178 boy D450
112028 1992 Steven 0.007170 boy S315
112029 1992 Aaron 0.006908 boy A650
... ... ... ... ... ...
241970 1992 Leila 0.000098 girl L400
241971 1992 Dora 0.000098 girl D600
241972 1992 Kayley 0.000098 girl K400
241973 1992 Bree 0.000097 girl B600
241974 1992 Damaris 0.000097 girl D562
241975 1992 Giovanna 0.000097 girl G150
241976 1992 Maryann 0.000097 girl M650
241977 1992 Maxine 0.000097 girl M250
241978 1992 Chanelle 0.000097 girl C540
241979 1992 Kaycee 0.000097 girl K200
241980 1992 Phoebe 0.000097 girl P100
241981 1992 Sonja 0.000097 girl S520
241982 1992 Andria 0.000096 girl A536
241983 1992 Isamar 0.000096 girl I256
241984 1992 Lexus 0.000096 girl L220
241985 1992 Liza 0.000096 girl L200
241986 1992 Marcela 0.000096 girl M624
241987 1992 Becky 0.000096 girl B200
241988 1992 Catrina 0.000096 girl C365
241989 1992 Chastity 0.000096 girl C233
241990 1992 Coral 0.000096 girl C640
241991 1992 Corrine 0.000096 girl C650
241992 1992 Kasie 0.000096 girl K200
241993 1992 Kenisha 0.000095 girl K520
241994 1992 Selene 0.000095 girl S450
241995 1992 Blake 0.000095 girl B420
241996 1992 Malia 0.000095 girl M400
241997 1992 Bryana 0.000094 girl B650
241998 1992 Luisa 0.000094 girl L200
241999 1992 Marianne 0.000094 girl M650

2000 rows × 5 columns

In [83]:
#Tohle vytiskne všechno bez ... veprostřed
def print_full(x):
    pd.set_option('display.max_rows', len(x))
    print(x)
    pd.reset_option('display.max_rows')
print_full(names[names.year==1992])
        year         name      prop   sex soundex
112000  1992      Michael  0.025914   boy    M240
112001  1992  Christopher  0.020289   boy    C623
112002  1992      Matthew  0.017991   boy    M300
112003  1992       Joshua  0.017263   boy    J200
112004  1992       Andrew  0.014550   boy    A536
112005  1992      Brandon  0.014119   boy    B653
112006  1992       Daniel  0.013878   boy    D540
112007  1992        Tyler  0.013731   boy    T460
112008  1992        James  0.013586   boy    J520
112009  1992        David  0.013534   boy    D130
112010  1992       Joseph  0.013289   boy    J210
112011  1992     Nicholas  0.013232   boy    N242
112012  1992         Ryan  0.012878   boy    R500
112013  1992         John  0.012498   boy    J500
112014  1992        Jacob  0.012221   boy    J210
112015  1992      Zachary  0.011824   boy    Z260
112016  1992       Robert  0.011483   boy    R163
112017  1992       Justin  0.011259   boy    J235
112018  1992      Anthony  0.011041   boy    A535
112019  1992      William  0.010995   boy    W450
112020  1992     Jonathan  0.010199   boy    J535
112021  1992         Kyle  0.009875   boy    K400
112022  1992    Alexander  0.009559   boy    A425
112023  1992         Cody  0.009473   boy    C300
112024  1992        Kevin  0.009362   boy    K150
112025  1992         Eric  0.007691   boy    E620
112026  1992       Thomas  0.007286   boy    T520
112027  1992        Dylan  0.007178   boy    D450
112028  1992       Steven  0.007170   boy    S315
112029  1992        Aaron  0.006908   boy    A650
112030  1992        Brian  0.006720   boy    B650
112031  1992       Jordan  0.006687   boy    J635
112032  1992     Benjamin  0.006403   boy    B525
112033  1992      Timothy  0.006130   boy    T530
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241384  1992        Tania  0.000334  girl    T500
241385  1992        Alana  0.000333  girl    A450
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241398  1992       Alyson  0.000321  girl    A425
241399  1992         Lori  0.000320  girl    L600
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241401  1992        Kiana  0.000316  girl    K500
241402  1992      Chantel  0.000314  girl    C534
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241404  1992         Kali  0.000314  girl    K400
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241420  1992     Shaniqua  0.000301  girl    S520
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241424  1992        Nadia  0.000296  girl    N300
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241428  1992        Kaila  0.000293  girl    K400
241429  1992         Kira  0.000293  girl    K600
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241437  1992         Kyra  0.000287  girl    K600
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241440  1992      Cristal  0.000285  girl    C623
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241449  1992     Julianne  0.000278  girl    J450
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241461  1992    Margarita  0.000265  girl    M626
241462  1992        Sandy  0.000265  girl    S530
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241480  1992      Kristie  0.000256  girl    K623
241481  1992       Alysha  0.000255  girl    A420
241482  1992     Daniella  0.000255  girl    D540
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241484  1992      Beatriz  0.000254  girl    B362
241485  1992      Breanne  0.000254  girl    B650
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241488  1992       Leanna  0.000253  girl    L500
241489  1992        Paola  0.000250  girl    P400
241490  1992       Serena  0.000250  girl    S650
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241505  1992       Ashlie  0.000237  girl    A240
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241511  1992       Shanna  0.000233  girl    S500
241512  1992        Alisa  0.000231  girl    A420
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241517  1992     Christie  0.000229  girl    C623
241518  1992         Katy  0.000229  girl    K300
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241520  1992    Genevieve  0.000228  girl    G511
241521  1992       Alexia  0.000228  girl    A420
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241525  1992       Stacie  0.000225  girl    S320
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241528  1992        Rocio  0.000224  girl    R200
241529  1992      Shirley  0.000224  girl    S640
241530  1992         Jodi  0.000222  girl    J300
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241537  1992        Kerry  0.000219  girl    K600
241538  1992      Mariana  0.000219  girl    M650
241539  1992        Joyce  0.000218  girl    J200
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241545  1992      Annette  0.000215  girl    A530
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241548  1992      Brittni  0.000213  girl    B635
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241550  1992     Brooklyn  0.000213  girl    B624
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241556  1992       Haylee  0.000211  girl    H400
241557  1992        Karly  0.000210  girl    K640
241558  1992      Kirstie  0.000210  girl    K623
241559  1992      Lizbeth  0.000210  girl    L213
241560  1992        Allie  0.000209  girl    A400
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241562  1992     Rosemary  0.000208  girl    R256
241563  1992      Makayla  0.000208  girl    M240
241564  1992       Skylar  0.000206  girl    S460
241565  1992      Mikayla  0.000206  girl    M240
241566  1992        Mindy  0.000206  girl    M530
241567  1992        Cayla  0.000205  girl    C400
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241569  1992       Leanne  0.000204  girl    L500
241570  1992        Aisha  0.000203  girl    A200
241571  1992        Karli  0.000203  girl    K640
241572  1992        Perla  0.000203  girl    P640
241573  1992     Katarina  0.000203  girl    K365
241574  1992       Tianna  0.000203  girl    T500
241575  1992       Connie  0.000202  girl    C500
241576  1992        Loren  0.000202  girl    L650
241577  1992      Madelyn  0.000202  girl    M345
241578  1992       Eileen  0.000201  girl    E450
241579  1992      Kirstin  0.000201  girl    K623
241580  1992       Corina  0.000200  girl    C650
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241583  1992     Julianna  0.000198  girl    J450
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241588  1992      Mckenna  0.000195  girl    M250
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241590  1992       Emilie  0.000193  girl    E540
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241592  1992        Sonya  0.000192  girl    S500
241593  1992       Tracey  0.000192  girl    T620
241594  1992       Kaylyn  0.000192  girl    K450
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241597  1992       Hallie  0.000190  girl    H400
241598  1992       Stevie  0.000190  girl    S310
241599  1992      Tabatha  0.000190  girl    T130
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241601  1992      Darlene  0.000189  girl    D645
241602  1992     Makenzie  0.000188  girl    M252
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241604  1992       Kaylie  0.000187  girl    K400
241605  1992       Selena  0.000187  girl    S450
241606  1992       Carlie  0.000187  girl    C640
241607  1992       Karlee  0.000187  girl    K640
241608  1992       Laurel  0.000187  girl    L640
241609  1992      Britany  0.000186  girl    B635
241610  1992    Brittanie  0.000186  girl    B635
241611  1992       Yasmin  0.000186  girl    Y255
241612  1992         Mara  0.000185  girl    M600
241613  1992       Silvia  0.000185  girl    S410
241614  1992       Celina  0.000184  girl    C450
241615  1992       Alexus  0.000183  girl    A422
241616  1992       Arlene  0.000183  girl    A645
241617  1992         Alex  0.000183  girl    A420
241618  1992       Sidney  0.000183  girl    S350
241619  1992        Josie  0.000182  girl    J200
241620  1992       Sheena  0.000182  girl    S500
241621  1992       Gianna  0.000182  girl    G500
241622  1992       Jackie  0.000181  girl    J200
241623  1992      Justina  0.000181  girl    J235
241624  1992       Selina  0.000181  girl    S450
241625  1992       Yadira  0.000181  girl    Y360
241626  1992       Fatima  0.000180  girl    F350
241627  1992       Jaimie  0.000180  girl    J500
241628  1992        Devan  0.000180  girl    D150
241629  1992          Luz  0.000180  girl    L200
241630  1992       Deidre  0.000179  girl    D360
241631  1992          Lea  0.000178  girl    L000
241632  1992         Jami  0.000178  girl    J500
241633  1992        Debra  0.000177  girl    D160
241634  1992         Demi  0.000177  girl    D500
241635  1992         Kala  0.000177  girl    K400
241636  1992      Katelin  0.000177  girl    K345
241637  1992       Lesley  0.000177  girl    L240
241638  1992        Alina  0.000176  girl    A450
241639  1992       Jennie  0.000176  girl    J500
241640  1992      Kristyn  0.000175  girl    K623
241641  1992         Lara  0.000175  girl    L600
241642  1992       Maegan  0.000175  girl    M250
241643  1992        Mandy  0.000175  girl    M530
241644  1992      Patrice  0.000175  girl    P362
241645  1992       Dallas  0.000174  girl    D420
241646  1992       Shelly  0.000174  girl    S400
241647  1992        Dulce  0.000172  girl    D420
241648  1992       Ivette  0.000172  girl    I130
241649  1992       Nikita  0.000171  girl    N230
241650  1992         Sade  0.000171  girl    S300
241651  1992        Angie  0.000171  girl    A520
241652  1992      Antonia  0.000171  girl    A535
241653  1992        Celia  0.000171  girl    C400
241654  1992    Constance  0.000171  girl    C523
241655  1992       Tricia  0.000170  girl    T620
241656  1992         Jana  0.000170  girl    J500
241657  1992         Judy  0.000170  girl    J300
241658  1992        Lacie  0.000170  girl    L200
241659  1992        Traci  0.000169  girl    T620
241660  1992        Eliza  0.000169  girl    E420
241661  1992        Kacey  0.000168  girl    K200
241662  1992       Shanae  0.000168  girl    S500
241663  1992       Alysia  0.000167  girl    A420
241664  1992       Hollie  0.000167  girl    H400
241665  1992         Kori  0.000166  girl    K600
241666  1992      Racheal  0.000166  girl    R240
241667  1992     Nathalie  0.000166  girl    N340
241668  1992     Christen  0.000164  girl    C623
241669  1992        Elyse  0.000164  girl    E420
241670  1992       Joanne  0.000164  girl    J500
241671  1992      Jenifer  0.000163  girl    J516
241672  1992      Jessika  0.000163  girl    J220
241673  1992       Krysta  0.000163  girl    K623
241674  1992      Yasmine  0.000163  girl    Y255
241675  1992     Rhiannon  0.000162  girl    R550
241676  1992       Chelsi  0.000162  girl    C420
241677  1992       Kaylin  0.000162  girl    K450
241678  1992        Clare  0.000161  girl    C460
241679  1992       Aurora  0.000160  girl    A660
241680  1992      Lizette  0.000160  girl    L230
241681  1992     Maricela  0.000159  girl    M624
241682  1992     Gretchen  0.000158  girl    G632
241683  1992    Gwendolyn  0.000158  girl    G534
241684  1992       Alycia  0.000158  girl    A420
241685  1992      Janette  0.000158  girl    J530
241686  1992     Cheyanne  0.000157  girl    C500
241687  1992        Jayme  0.000157  girl    J500
241688  1992       Skyler  0.000157  girl    S460
241689  1992     Marisela  0.000156  girl    M624
241690  1992        Maura  0.000156  girl    M600
241691  1992        Brook  0.000156  girl    B620
241692  1992       Gladys  0.000156  girl    G432
241693  1992         Cori  0.000155  girl    C600
241694  1992        Jesse  0.000155  girl    J200
241695  1992     Kasandra  0.000155  girl    K253
241696  1992         Eden  0.000155  girl    E350
241697  1992      Cameron  0.000154  girl    C565
241698  1992     Kristian  0.000154  girl    K623
241699  1992        Kiley  0.000154  girl    K400
241700  1992     Lakeisha  0.000154  girl    L220
241701  1992       Adrian  0.000153  girl    A365
241702  1992       Ingrid  0.000153  girl    I526
241703  1992          Nia  0.000153  girl    N000
241704  1992       Payton  0.000153  girl    P350
241705  1992       Darian  0.000152  girl    D650
241706  1992      Delaney  0.000152  girl    D450
241707  1992        Terri  0.000152  girl    T600
241708  1992        Janie  0.000152  girl    J500
241709  1992       Sherry  0.000152  girl    S600
241710  1992       Rebeca  0.000150  girl    R120
241711  1992        Audra  0.000150  girl    A360
241712  1992        Carli  0.000149  girl    C640
241713  1992     Yessenia  0.000149  girl    Y250
241714  1992    Domonique  0.000149  girl    D552
241715  1992         Jada  0.000149  girl    J300
241716  1992       Katlin  0.000149  girl    K345
241717  1992       Carlee  0.000148  girl    C640
241718  1992      Chantal  0.000148  girl    C534
241719  1992       Karlie  0.000148  girl    K640
241720  1992        Betty  0.000148  girl    B300
241721  1992    Estefania  0.000148  girl    E231
241722  1992         Skye  0.000148  girl    S000
241723  1992       Elisha  0.000147  girl    E420
241724  1992         Baby  0.000147  girl    B100
241725  1992         Hali  0.000147  girl    H400
241726  1992       Melina  0.000146  girl    M450
241727  1992       Elissa  0.000146  girl    E420
241728  1992       Dianna  0.000145  girl    D500
241729  1992      Janessa  0.000145  girl    J520
241730  1992     Christin  0.000145  girl    C623
241731  1992        Maira  0.000145  girl    M600
241732  1992       Janine  0.000144  girl    J550
241733  1992     Anjelica  0.000144  girl    A524
241734  1992      Belinda  0.000144  girl    B453
241735  1992       Breann  0.000144  girl    B650
241736  1992   Christiana  0.000144  girl    C623
241737  1992         Kaci  0.000144  girl    K200
241738  1992        Keely  0.000144  girl    K400
241739  1992          Ivy  0.000143  girl    I100
241740  1992     Beatrice  0.000142  girl    B362
241741  1992         Deja  0.000142  girl    D200
241742  1992         Lynn  0.000142  girl    L500
241743  1992        Reyna  0.000142  girl    R500
241744  1992      Shakira  0.000142  girl    S260
241745  1992       Infant  0.000142  girl    I515
241746  1992        Terra  0.000142  girl    T600
241747  1992        Liana  0.000141  girl    L500
241748  1992     Marcella  0.000140  girl    M624
241749  1992     Lorraine  0.000139  girl    L650
241750  1992       Alecia  0.000139  girl    A420
241751  1992        Dayna  0.000139  girl    D500
241752  1992        Halie  0.000139  girl    H400
241753  1992       Lauryn  0.000139  girl    L650
241754  1992       Thalia  0.000139  girl    T400
241755  1992      Julissa  0.000138  girl    J420
241756  1992       Roxana  0.000138  girl    R250
241757  1992        Kalyn  0.000138  girl    K450
241758  1992       Nadine  0.000138  girl    N350
241759  1992       Bobbie  0.000136  girl    B100
241760  1992        Devyn  0.000136  girl    D150
241761  1992         Myra  0.000136  girl    M600
241762  1992      Allyssa  0.000136  girl    A420
241763  1992         Shea  0.000136  girl    S000
241764  1992        Tiera  0.000136  girl    T600
241765  1992       Elaina  0.000135  girl    E450
241766  1992      Fabiola  0.000135  girl    F140
241767  1992       Laurie  0.000135  girl    L600
241768  1992        Micah  0.000135  girl    M200
241769  1992       Rhonda  0.000134  girl    R530
241770  1992          Ali  0.000134  girl    A400
241771  1992       Danica  0.000133  girl    D520
241772  1992       Mariel  0.000133  girl    M640
241773  1992       Ashely  0.000133  girl    A240
241774  1992       Melisa  0.000133  girl    M420
241775  1992      Shelley  0.000133  girl    S400
241776  1992      Brianda  0.000132  girl    B653
241777  1992    Chantelle  0.000132  girl    C534
241778  1992      Lyndsay  0.000132  girl    L532
241779  1992    Charmaine  0.000132  girl    C655
241780  1992       Lucero  0.000132  girl    L260
241781  1992       Alesha  0.000130  girl    A420
241782  1992         Ayla  0.000130  girl    A400
241783  1992        Abbie  0.000130  girl    A100
241784  1992     Kathrine  0.000130  girl    K365
241785  1992      Krystle  0.000130  girl    K623
241786  1992       Heaven  0.000129  girl    H150
241787  1992      Michael  0.000129  girl    M240
241788  1992       Tamika  0.000129  girl    T520
241789  1992        Corey  0.000128  girl    C600
241790  1992     Tiffanie  0.000128  girl    T150
241791  1992       Hailee  0.000127  girl    H400
241792  1992      Jaleesa  0.000127  girl    J420
241793  1992        Rikki  0.000127  girl    R200
241794  1992       Aileen  0.000127  girl    A450
241795  1992      Micaela  0.000127  girl    M240
241796  1992        Sarai  0.000127  girl    S600
241797  1992       Karley  0.000126  girl    K640
241798  1992      Mikaela  0.000126  girl    M240
241799  1992       Stormy  0.000126  girl    S365
241800  1992         Joan  0.000125  girl    J500
241801  1992      Latifah  0.000125  girl    L310
241802  1992       Athena  0.000125  girl    A350
241803  1992      Jerrica  0.000125  girl    J620
241804  1992      Shanika  0.000125  girl    S520
241805  1992      Brielle  0.000124  girl    B640
241806  1992   Alessandra  0.000124  girl    A425
241807  1992         Cora  0.000124  girl    C600
241808  1992     Dominque  0.000124  girl    D552
241809  1992        Janay  0.000124  girl    J500
241810  1992    Jaqueline  0.000124  girl    J245
241811  1992      Marlena  0.000124  girl    M645
241812  1992         Dina  0.000123  girl    D500
241813  1992          Kia  0.000123  girl    K000
241814  1992        Leann  0.000123  girl    L500
241815  1992        China  0.000122  girl    C500
241816  1992       Tyesha  0.000122  girl    T200
241817  1992      Ashlynn  0.000122  girl    A245
241818  1992       Deidra  0.000122  girl    D360
241819  1992       Iliana  0.000122  girl    I450
241820  1992         Noel  0.000122  girl    N400
241821  1992     Adrianne  0.000121  girl    A365
241822  1992     Berenice  0.000121  girl    B652
241823  1992        Eboni  0.000121  girl    E150
241824  1992        Jodie  0.000121  girl    J300
241825  1992      Lisette  0.000121  girl    L230
241826  1992      Felisha  0.000121  girl    F420
241827  1992        Juana  0.000121  girl    J500
241828  1992        Kaela  0.000121  girl    K400
241829  1992         Olga  0.000120  girl    O420
241830  1992        Bobbi  0.000120  girl    B100
241831  1992      Lynette  0.000120  girl    L530
241832  1992          Ava  0.000119  girl    A100
241833  1992      Giselle  0.000119  girl    G240
241834  1992     Griselda  0.000119  girl    G624
241835  1992         Irma  0.000119  girl    I650
241836  1992      Kortney  0.000119  girl    K635
241837  1992        Betsy  0.000119  girl    B320
241838  1992     Isabelle  0.000119  girl    I214
241839  1992   Bernadette  0.000118  girl    B653
241840  1992       Fallon  0.000118  girl    F450
241841  1992         Asha  0.000118  girl    A200
241842  1992       Kallie  0.000118  girl    K400
241843  1992      Lourdes  0.000118  girl    L632
241844  1992        Macey  0.000118  girl    M200
241845  1992     Marjorie  0.000118  girl    M626
241846  1992       Porsha  0.000118  girl    P620
241847  1992      Santana  0.000118  girl    S535
241848  1992      Whitley  0.000118  girl    W340
241849  1992        Anais  0.000117  girl    A520
241850  1992      Gabriel  0.000117  girl    G164
241851  1992       Alayna  0.000117  girl    A450
241852  1992    Kimberley  0.000117  girl    K516
241853  1992       Anissa  0.000116  girl    A520
241854  1992        Ellie  0.000116  girl    E400
241855  1992     Shanequa  0.000116  girl    S520
241856  1992       Aubree  0.000115  girl    A160
241857  1992     Chrystal  0.000115  girl    C623
241858  1992         Lana  0.000115  girl    L500
241859  1992         Amie  0.000115  girl    A500
241860  1992         Elsa  0.000114  girl    E420
241861  1992      Kristal  0.000114  girl    K623
241862  1992       Symone  0.000114  girl    S550
241863  1992      Tatyana  0.000114  girl    T350
241864  1992        Alysa  0.000114  girl    A420
241865  1992        Ashli  0.000114  girl    A240
241866  1992    Brittaney  0.000114  girl    B635
241867  1992    Kimberlee  0.000114  girl    K516
241868  1992      Leandra  0.000114  girl    L536
241869  1992     Princess  0.000114  girl    P652
241870  1992      Shawnee  0.000114  girl    S500
241871  1992        Joann  0.000113  girl    J500
241872  1992         Lora  0.000113  girl    L600
241873  1992     Marquita  0.000113  girl    M623
241874  1992         Brea  0.000113  girl    B600
241875  1992      Essence  0.000113  girl    E252
241876  1992       Britni  0.000112  girl    B635
241877  1992    Cassondra  0.000112  girl    C253
241878  1992       Chelsy  0.000112  girl    C420
241879  1992        Doris  0.000112  girl    D620
241880  1992        Ivana  0.000112  girl    I150
241881  1992         Laci  0.000112  girl    L200
241882  1992       Shante  0.000112  girl    S530
241883  1992      Brittny  0.000111  girl    B635
241884  1992       Leeann  0.000111  girl    L500
241885  1992      Pauline  0.000111  girl    P450
241886  1992     Demetria  0.000111  girl    D536
241887  1992       Trista  0.000111  girl    T623
241888  1992        Janel  0.000110  girl    J540
241889  1992      Joselyn  0.000110  girl    J245
241890  1992       Billie  0.000110  girl    B400
241891  1992       Daphne  0.000110  girl    D150
241892  1992         Ella  0.000110  girl    E400
241893  1992        Regan  0.000110  girl    R250
241894  1992     Catalina  0.000109  girl    C345
241895  1992         Dara  0.000109  girl    D600
241896  1992     Danyelle  0.000109  girl    D540
241897  1992     Graciela  0.000109  girl    G624
241898  1992       Ivonne  0.000108  girl    I150
241899  1992     Katerina  0.000108  girl    K365
241900  1992      Martina  0.000108  girl    M635
241901  1992      Myranda  0.000108  girl    M653
241902  1992       Eunice  0.000108  girl    E520
241903  1992       Janell  0.000108  girl    J540
241904  1992       Kailee  0.000108  girl    K400
241905  1992       Marian  0.000108  girl    M650
241906  1992       Marlee  0.000108  girl    M640
241907  1992       Monika  0.000108  girl    M520
241908  1992      Susanna  0.000108  girl    S250
241909  1992    Jeannette  0.000107  girl    J530
241910  1992       Kassie  0.000107  girl    K200
241911  1992      Madalyn  0.000107  girl    M345
241912  1992     Valencia  0.000107  girl    V452
241913  1992       Joelle  0.000107  girl    J400
241914  1992      Latrice  0.000107  girl    L362
241915  1992    Magdalena  0.000107  girl    M234
241916  1992       Eliana  0.000106  girl    E450
241917  1992      Emerald  0.000106  girl    E564
241918  1992      Stefani  0.000106  girl    S315
241919  1992        Kalie  0.000106  girl    K400
241920  1992      Kandice  0.000106  girl    K532
241921  1992        Ayana  0.000105  girl    A500
241922  1992       Jamila  0.000105  girl    J540
241923  1992     Katheryn  0.000105  girl    K365
241924  1992       Mariam  0.000105  girl    M650
241925  1992         Rubi  0.000105  girl    R100
241926  1992    Alexander  0.000105  girl    A425
241927  1992         Jean  0.000105  girl    J500
241928  1992       Nataly  0.000105  girl    N340
241929  1992       Ayanna  0.000104  girl    A500
241930  1992        Darcy  0.000104  girl    D620
241931  1992        Nakia  0.000104  girl    N200
241932  1992      Breonna  0.000104  girl    B650
241933  1992       Emilia  0.000104  girl    E540
241934  1992       Geneva  0.000104  girl    G510
241935  1992       Jerica  0.000104  girl    J620
241936  1992     Shaniece  0.000103  girl    S520
241937  1992     Annmarie  0.000103  girl    A560
241938  1992      Cecelia  0.000103  girl    C240
241939  1992       Chynna  0.000103  girl    C500
241940  1992       Danika  0.000103  girl    D520
241941  1992         Flor  0.000103  girl    F460
241942  1992      Kaylynn  0.000103  girl    K450
241943  1992        Laken  0.000103  girl    L250
241944  1992       Salina  0.000103  girl    S450
241945  1992      Kandace  0.000102  girl    K532
241946  1992     Krystina  0.000102  girl    K623
241947  1992       Nikole  0.000102  girl    N240
241948  1992     Scarlett  0.000102  girl    S643
241949  1992       Carson  0.000101  girl    C625
241950  1992        Danae  0.000101  girl    D500
241951  1992     Georgina  0.000101  girl    G625
241952  1992        Chaya  0.000100  girl    C000
241953  1992         Kati  0.000100  girl    K300
241954  1992       Kinsey  0.000100  girl    K520
241955  1992       Lizeth  0.000100  girl    L230
241956  1992          Mai  0.000100  girl    M000
241957  1992     Shanelle  0.000100  girl    S540
241958  1992          Aja  0.000100  girl    A200
241959  1992         Cody  0.000100  girl    C300
241960  1992        Janna  0.000100  girl    J500
241961  1992        Kenia  0.000100  girl    K500
241962  1992        Anika  0.000099  girl    A520
241963  1992      Destini  0.000099  girl    D235
241964  1992     Jessenia  0.000099  girl    J250
241965  1992        Jessi  0.000099  girl    J200
241966  1992      Chandra  0.000099  girl    C536
241967  1992        Delia  0.000099  girl    D400
241968  1992      Gillian  0.000098  girl    G450
241969  1992       Kelcie  0.000098  girl    K420
241970  1992        Leila  0.000098  girl    L400
241971  1992         Dora  0.000098  girl    D600
241972  1992       Kayley  0.000098  girl    K400
241973  1992         Bree  0.000097  girl    B600
241974  1992      Damaris  0.000097  girl    D562
241975  1992     Giovanna  0.000097  girl    G150
241976  1992      Maryann  0.000097  girl    M650
241977  1992       Maxine  0.000097  girl    M250
241978  1992     Chanelle  0.000097  girl    C540
241979  1992       Kaycee  0.000097  girl    K200
241980  1992       Phoebe  0.000097  girl    P100
241981  1992        Sonja  0.000097  girl    S520
241982  1992       Andria  0.000096  girl    A536
241983  1992       Isamar  0.000096  girl    I256
241984  1992        Lexus  0.000096  girl    L220
241985  1992         Liza  0.000096  girl    L200
241986  1992      Marcela  0.000096  girl    M624
241987  1992        Becky  0.000096  girl    B200
241988  1992      Catrina  0.000096  girl    C365
241989  1992     Chastity  0.000096  girl    C233
241990  1992        Coral  0.000096  girl    C640
241991  1992      Corrine  0.000096  girl    C650
241992  1992        Kasie  0.000096  girl    K200
241993  1992      Kenisha  0.000095  girl    K520
241994  1992       Selene  0.000095  girl    S450
241995  1992        Blake  0.000095  girl    B420
241996  1992        Malia  0.000095  girl    M400
241997  1992       Bryana  0.000094  girl    B650
241998  1992        Luisa  0.000094  girl    L200
241999  1992     Marianne  0.000094  girl    M650

Vytvor si premennu boys a uloz do nej z premennej names iba chlapcov. Pomocka: Pouzi metodu copy(). Najdi si na internete ako funguje. Priklad: boys = names[names.sex=='boy'].copy() Pokud by tam nebyli ti chlapci, ale celý soubor, tak tohle copy způsobí, že když s tím souborem budu dále pracovat, tak už se ten půvocní, ze kterého jsme vycházela, nezmění (deep copy). Pokud bych ale nový soubor zkopírovala novy=stary, tak při úpravách nového (př. rozšiřování o prvky) měním i ten starý (shallow copy) http://stackoverflow.com/questions/3975376/understanding-dict-copy-shallow-or-deep

In [84]:
boys = names[names.sex=='boy'].copy()
boys
Out[84]:
year name prop sex soundex
0 1880 John 0.081541 boy J500
1 1880 William 0.080511 boy W450
2 1880 James 0.050057 boy J520
3 1880 Charles 0.045167 boy C642
4 1880 George 0.043292 boy G620
5 1880 Frank 0.027380 boy F652
6 1880 Joseph 0.022229 boy J210
7 1880 Thomas 0.021401 boy T520
8 1880 Henry 0.020641 boy H560
9 1880 Robert 0.020404 boy R163
10 1880 Edward 0.019965 boy E363
11 1880 Harry 0.018175 boy H600
12 1880 Walter 0.014822 boy W436
13 1880 Arthur 0.013504 boy A636
14 1880 Fred 0.013251 boy F630
15 1880 Albert 0.012609 boy A416
16 1880 Samuel 0.008648 boy S540
17 1880 David 0.007339 boy D130
18 1880 Louis 0.006993 boy L200
19 1880 Joe 0.006174 boy J000
20 1880 Charlie 0.006165 boy C640
21 1880 Clarence 0.006165 boy C465
22 1880 Richard 0.006148 boy R263
23 1880 Andrew 0.005439 boy A536
24 1880 Daniel 0.005430 boy D540
25 1880 Ernest 0.005194 boy E652
26 1880 Will 0.004966 boy W400
27 1880 Jesse 0.004805 boy J200
28 1880 Oscar 0.004594 boy O260
29 1880 Lewis 0.004366 boy L200
... ... ... ... ... ...
128970 2008 Landin 0.000094 boy L535
128971 2008 Reagan 0.000094 boy R250
128972 2008 Turner 0.000094 boy T656
128973 2008 Arnav 0.000094 boy A651
128974 2008 Brenton 0.000094 boy B653
128975 2008 Callum 0.000094 boy C450
128976 2008 Jayvion 0.000094 boy J150
128977 2008 Bridger 0.000093 boy B632
128978 2008 Sammy 0.000093 boy S500
128979 2008 Deegan 0.000093 boy D250
128980 2008 Jaylan 0.000093 boy J450
128981 2008 Lennon 0.000093 boy L550
128982 2008 Odin 0.000093 boy O350
128983 2008 Abdiel 0.000092 boy A134
128984 2008 Jerimiah 0.000092 boy J650
128985 2008 Eliezer 0.000092 boy E426
128986 2008 Bronson 0.000091 boy B652
128987 2008 Cornelius 0.000091 boy C654
128988 2008 Pierre 0.000091 boy P600
128989 2008 Cortez 0.000091 boy C632
128990 2008 Baron 0.000090 boy B650
128991 2008 Carlo 0.000090 boy C640
128992 2008 Carsen 0.000090 boy C625
128993 2008 Fletcher 0.000090 boy F432
128994 2008 Izayah 0.000090 boy I200
128995 2008 Kolten 0.000090 boy K435
128996 2008 Damari 0.000089 boy D560
128997 2008 Hugh 0.000089 boy H200
128998 2008 Jensen 0.000089 boy J525
128999 2008 Yurem 0.000089 boy Y650

129000 rows × 5 columns

In [85]:
#Tak isto ako si do premmenj boys ulozila iba chlapcov, to iste sprav s dievcatami a uloz do premennej girls ako kopiu
girls=names[names.sex=="girl"].copy()
girls
Out[85]:
year name prop sex soundex
129000 1880 Mary 0.072381 girl M600
129001 1880 Anna 0.026678 girl A500
129002 1880 Emma 0.020521 girl E500
129003 1880 Elizabeth 0.019865 girl E421
129004 1880 Minnie 0.017888 girl M500
129005 1880 Margaret 0.016167 girl M626
129006 1880 Ida 0.015081 girl I300
129007 1880 Alice 0.014487 girl A420
129008 1880 Bertha 0.013523 girl B630
129009 1880 Sarah 0.013196 girl S600
129010 1880 Annie 0.012888 girl A500
129011 1880 Clara 0.012560 girl C460
129012 1880 Ella 0.011843 girl E400
129013 1880 Florence 0.010891 girl F465
129014 1880 Cora 0.010706 girl C600
129015 1880 Martha 0.010655 girl M630
129016 1880 Laura 0.010368 girl L600
129017 1880 Nellie 0.010194 girl N400
129018 1880 Grace 0.010061 girl G620
129019 1880 Carrie 0.009723 girl C600
129020 1880 Maude 0.008790 girl M300
129021 1880 Mabel 0.008278 girl M140
129022 1880 Bessie 0.008135 girl B200
129023 1880 Jennie 0.008124 girl J500
129024 1880 Gertrude 0.008063 girl G636
129025 1880 Julia 0.008022 girl J400
129026 1880 Hattie 0.007878 girl H300
129027 1880 Edith 0.007868 girl E330
129028 1880 Mattie 0.007213 girl M300
129029 1880 Rose 0.007172 girl R200
... ... ... ... ... ...
257970 2008 Chana 0.000133 girl C500
257971 2008 Avah 0.000132 girl A100
257972 2008 Donna 0.000132 girl D500
257973 2008 Kaylah 0.000132 girl K400
257974 2008 Ashtyn 0.000131 girl A235
257975 2008 Karsyn 0.000131 girl K625
257976 2008 Makaila 0.000131 girl M240
257977 2008 Shayna 0.000131 girl S500
257978 2008 Essence 0.000131 girl E252
257979 2008 Leticia 0.000130 girl L320
257980 2008 Miya 0.000130 girl M000
257981 2008 Rory 0.000130 girl R600
257982 2008 Desirae 0.000130 girl D260
257983 2008 Kianna 0.000130 girl K500
257984 2008 Laurel 0.000130 girl L640
257985 2008 Neveah 0.000130 girl N100
257986 2008 Amaris 0.000129 girl A562
257987 2008 Hadassah 0.000129 girl H320
257988 2008 Dania 0.000129 girl D500
257989 2008 Hailie 0.000129 girl H400
257990 2008 Jamiya 0.000129 girl J500
257991 2008 Kathy 0.000129 girl K300
257992 2008 Laylah 0.000129 girl L400
257993 2008 Riya 0.000129 girl R000
257994 2008 Diya 0.000128 girl D000
257995 2008 Carleigh 0.000128 girl C642
257996 2008 Iyana 0.000128 girl I500
257997 2008 Kenley 0.000127 girl K540
257998 2008 Sloane 0.000127 girl S450
257999 2008 Elianna 0.000127 girl E450

129000 rows × 5 columns

In [86]:
#Uloz do premennej Daniel z dataframu boys iba chlapcov, ktory sa volaju Daniel
daniel = boys[boys.name =="Daniel"].copy()
daniel
Out[86]:
year name prop sex soundex
24 1880 Daniel 0.005430 boy D540
1028 1881 Daniel 0.004866 boy D540
2028 1882 Daniel 0.004867 boy D540
3024 1883 Daniel 0.005467 boy D540
4031 1884 Daniel 0.004668 boy D540
5031 1885 Daniel 0.004614 boy D540
6032 1886 Daniel 0.004662 boy D540
7030 1887 Daniel 0.005095 boy D540
8034 1888 Daniel 0.004357 boy D540
9035 1889 Daniel 0.004326 boy D540
10038 1890 Daniel 0.004219 boy D540
11036 1891 Daniel 0.004621 boy D540
12040 1892 Daniel 0.004062 boy D540
13038 1893 Daniel 0.004312 boy D540
14040 1894 Daniel 0.004123 boy D540
15039 1895 Daniel 0.004074 boy D540
16037 1896 Daniel 0.004346 boy D540
17038 1897 Daniel 0.004264 boy D540
18044 1898 Daniel 0.003959 boy D540
19041 1899 Daniel 0.004210 boy D540
20043 1900 Daniel 0.003704 boy D540
21047 1901 Daniel 0.003607 boy D540
22044 1902 Daniel 0.003774 boy D540
23049 1903 Daniel 0.003340 boy D540
24048 1904 Daniel 0.003408 boy D540
25049 1905 Daniel 0.003379 boy D540
26047 1906 Daniel 0.003512 boy D540
27051 1907 Daniel 0.003329 boy D540
28053 1908 Daniel 0.003192 boy D540
29053 1909 Daniel 0.003218 boy D540
... ... ... ... ... ...
99011 1979 Daniel 0.015919 boy D540
100010 1980 Daniel 0.016120 boy D540
101009 1981 Daniel 0.016651 boy D540
102009 1982 Daniel 0.017302 boy D540
103007 1983 Daniel 0.018652 boy D540
104005 1984 Daniel 0.019470 boy D540
105004 1985 Daniel 0.020035 boy D540
106005 1986 Daniel 0.019036 boy D540
107006 1987 Daniel 0.018398 boy D540
108007 1988 Daniel 0.017337 boy D540
109005 1989 Daniel 0.016701 boy D540
110004 1990 Daniel 0.015717 boy D540
111005 1991 Daniel 0.014579 boy D540
112006 1992 Daniel 0.013878 boy D540
113006 1993 Daniel 0.013875 boy D540
114007 1994 Daniel 0.013760 boy D540
115008 1995 Daniel 0.013271 boy D540
116010 1996 Daniel 0.012521 boy D540
117010 1997 Daniel 0.011976 boy D540
118011 1998 Daniel 0.011410 boy D540
119009 1999 Daniel 0.011122 boy D540
120008 2000 Daniel 0.010681 boy D540
121008 2001 Daniel 0.010141 boy D540
122009 2002 Daniel 0.010313 boy D540
123007 2003 Daniel 0.010013 boy D540
124006 2004 Daniel 0.009928 boy D540
125006 2005 Daniel 0.009500 boy D540
126005 2006 Daniel 0.009142 boy D540
127004 2007 Daniel 0.009135 boy D540
128004 2008 Daniel 0.008702 boy D540

129 rows × 5 columns

Nastuduj si ako funguje v pandase metoda pivot_table a aplikuj ju na dataframe girls. Priklad: pivot = pd.pivot_table(girls, index='name', columns='year', values='prop') pivot.head(). Snaz sa z dokumentacie pochopit vysvetlenie danej metody

http://pbpython.com/pandas-pivot-table-explained.html

In [87]:
#vypsat na dalším řádku buď s pivot.head() a nebo celé pivot
pivot = pd.pivot_table(girls, index='name', columns='year', values='prop')
pivot.head()
Out[87]:
year 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 ... 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
name
Aaliyah NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ... 0.000559 0.000750 0.001694 0.002422 0.001831 0.001726 0.001703 0.001790 0.001870 0.001939
Aaron NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
Abagail NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ... 0.000109 0.000111 0.000123 0.000130 0.000138 0.000128 0.000142 0.000143 0.000149 0.000153
Abbey NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ... 0.000365 0.000331 0.000347 0.000304 0.000312 0.000250 0.000223 0.000194 0.000165 0.000167
Abbie 0.000727 0.000819 0.000691 0.000658 0.000712 0.00062 0.000546 0.000669 0.000723 0.000565 ... 0.000221 0.000217 0.000265 0.000261 0.000268 0.000248 0.000220 0.000211 0.000221 0.000193

5 rows × 129 columns

Nastuduj si v pandas dokumentacii ako funguje fillna metoda. Priklad: pivot = pivot.fillna(0) pivot.head() . Napis nasledujuci program a pozri si ako vyzera vysledok to vyplní NaN hodnoty 0 dá se dát rovnou do té pivot table fill_value = 0 do hranaté závorky http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.fillna.html

In [88]:
pivot = pivot.fillna(0)
pivot.head()
Out[88]:
year 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 ... 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
name
Aaliyah 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 ... 0.000559 0.000750 0.001694 0.002422 0.001831 0.001726 0.001703 0.001790 0.001870 0.001939
Aaron 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 ... 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
Abagail 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 ... 0.000109 0.000111 0.000123 0.000130 0.000138 0.000128 0.000142 0.000143 0.000149 0.000153
Abbey 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 ... 0.000365 0.000331 0.000347 0.000304 0.000312 0.000250 0.000223 0.000194 0.000165 0.000167
Abbie 0.000727 0.000819 0.000691 0.000658 0.000712 0.00062 0.000546 0.000669 0.000723 0.000565 ... 0.000221 0.000217 0.000265 0.000261 0.000268 0.000248 0.000220 0.000211 0.000221 0.000193

5 rows × 129 columns