Nettet8. okt. 2015 · Is there a way to define the state names as their full names (i.e., CA = California) and then combine city name and state name (ex: San Jose, California)? I have approximately 120 records. So what I think I have to do is define each state as their full names (ex: NY = New York, FL = Florida, and so on) first. Nettet25. mar. 2006 · 1 2 state_abbr = { 3 'AL' => 'Alabama', 4 'AK' => 'Alaska', 5 'AS' => 'America Samoa', 6 'AZ' => 'Arizona', 7 'AR' => 'Arkansas', 8 'CA' => 'California', 9 'CO' …
List of U.S. states by date of admission to the Union
NettetThe table below shows the US Postal Service (USPS) abbreviation for each of the United States, districts, territories, and possessions. For your reference, we've also included a … NettetImagine poking fun at a famous brand or logo and getting away with it. In the United States, it’s not only possible, but can also be a recognized form of artistic expression known as trademark parody. Trademark parodies are a form of humorous or satirical commentary that uses a well-known trademark in a playful or critical manner. exercise bike mat amazon
Full Form of AR in States (USA) FullForms
NettetUnited States of America ( USA or U.S.A.), also called the United States (US or U.S.) or America, is a federal republic composed of 50 states, a federal district (District of Columbia), five major territories, and various minor islands. The USA is located in North America, and lies between the Pacific and Atlantic Oceans, bordered by Canada to ... Nettet13. feb. 2024 · A plain and clean list of the top 50 largest cities in the United States, the state’s two-character abbreviations, and the population size. List of Top 50 Largest Cities In The World A plain and clean list of the top 50 largest cities in the world, the country name, and the population size. Nettet26. nov. 2024 · 2 Answers. Sorted by: 1. You can use Series.replace. It can take a dict, where the keys of the dict are values to find, and the values of the dict are the replacements. If a value isn't found in the dict, it will be left as-is. df ['State'] = df ['State'].replace (states) Output: >>> df Country State 1 United States Minnesota 2 … exercise bbike