How to use staty method in Molotov

Best Python code snippet using molotov_python

lekce05_dotazy.py

Source:lekce05_dotazy.py

1#import wget2#wget.download("https://kodim.cz/czechitas/progr2-python/python-pro-data-1/zakladni-dotazy/assets/staty.json")3import pandas4staty = pandas.read_json("staty.json")5staty = staty.set_index("name")6print(staty[["population", "area"]])7#kdyÅ¾ dÃ¡m 2 promÄnnÃ©, tak jsou 2 zÃ¡vorky - dÄlÃ¡m totiÅ¾ jeÅ¡tÄ z toho seznam8populace = staty["population"]9#vybÃrÃ¡m jeden sloupec, tedy jeden rozmÄr, je to sÃ©rie, nenÃ to dataframe10#kdyÅ¾ chci seÄÃst celou populaci, vypisuje to jako ÄÃslo11print(populace.sum())12print(staty["population"] < 1000)13#vypÃÅ¡e vÅ¡echny stÃ¡ty a u toho True nebo False, jestli byla splnÄnÃ¡ podmÃnka14#pokud chci vypsat konkrÃ©tnÃ stÃ¡ty, tak kdyÅ¾ uvidÃ False, tak dÃ¡ pryÄ, pokud True, tak tam ÅÃ¡dek nechÃ¡15# => musÃm to obalit do dalÅ¡Ãho dotazu16print(staty[staty["population"] < 1000])17pidistaty = staty[staty["population"] < 1000]18print(pidistaty[["area", "population"]])19#lidnatÃ© EV stÃ¡ty a podmÃnky (EV a vÃc jak 20 mil. ob), kaÅ¾dÃ½ dotaz musÃ mÃt svou vlastnÃ ()20# | (alt + w) je nebo; & je a zÃ¡roveÅ21lidnate_evropske_staty = staty[(staty["population"] > 20_000_000) & (staty["region"] == "Europe")]22print(lidnate_evropske_staty)23print(lidnate_evropske_staty["population"])24vyznamne_staty = staty[(staty["population"] > 1_000_000_000) | (staty["area"] > 3_000_000)]25print(vyznamne_staty)26#podmÃnka na seznam regionÅ¯27zap_vych_evropa = staty[staty["subregion"].isin(["Western Europe", "Eastern Europe"])]...

pro_data_1_zakladni_dotazy.py

Source:pro_data_1_zakladni_dotazy.py

1import pandas2import wget3#wget.download("https://kodim.cz/czechitas/progr2-python/python-pro-data-1/zakladni-dotazy/assets/staty.json")4staty = pandas.read_json("staty.json")5staty = staty.set_index("name")6#print(staty.info())7#print(staty.loc["Czech Republic":"Dominican Republic"])8#print(staty.loc["Uzbekistan":])9#print(staty.loc[["Czech Republic", "Slovakia"], "capital"])10#print(staty["population"])11#print(staty[["population", "area"]])12#populace = staty["population"]13#print(populace.sum())14#print(staty["population"] < 1000) // printuje False a True, nevymenuje staty15#pidistaty = staty[staty["population"] < 1000]16#print(pidistaty[["area", "population"]])17lidnate_evropske_staty = staty[(staty["population"] > 20_000_000) & (staty["region"] == "Europe")]18#print(lidnate_evropske_staty["population"])19vyznamne_staty = staty[(staty["population"] > 1_000_000_000) | (staty["area"] > 3_000_000)]20#print(vyznamne_staty[["population", "area"]])21zap_vych_evropa = staty[staty["subregion"].isin(["Western Europe", "Eastern Europe"])]...

zakladnidotazy.py

Source:zakladnidotazy.py

1import pandas2# import  wget3# wget.download("https://kodim.cz/czechitas/progr2-python/python-pro-data-1/zakladni-dotazy/assets/staty.json")4#5staty = pandas.read_json("staty.json")6staty = staty.set_index("name")7#8#print(staty.info())9#print(staty.index)10#11# print (staty.loc["Czech Republic"]) #loc bude vypisovat radky ktere jsme si pojmenovali v set_index name12#13#print (staty.loc["Czech Republic":"Dominican Republic"]) #vypise vsechno od CZ po Dom, vcetne, to je jinak nez u ILOC, ktery posledni cislo nebere v potaz14#15#print (staty.loc["Czech Republic":])#od ceksa dal16# print (staty.loc[["Slovakia", "Austria", "Poland"], ["gini", "population"]]) #vybere zeme a sloupecky co ma vybrat17# populace = staty["population"]18# print(populace.sum())19#20# pidistaty = staty[staty["population"] < 1000]21# print(pidistaty[["area", "population"]])22lidnate_evropske_staty = staty [(staty["population"] > 20000000) & (staty["region"] == "Europe")]...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.