Sunny | Sunny is a simple weather forecast android app | Android library

If I understood correctly, you want to apply the string transformation on an certain elements of a column chosen using the column names. If this is the case, you can avoid to manually iterate over each single row, and simply use the apply() method of Pandas over the retrieved column. Since you do not want to do this for all the strings, but only with strings of at least 3 words, you can filter them thanks to the loc method of Pandas. You can do it with the following code:

Call getMoreInfo on the first elment of the list:

getCity().getWeatherList().get(0).getMoreInfo()

Use [[ instead of $:

The img tag loads all the images fine for the first call however, the problem is that when I do another zipcode and clicked search, the texts updated, but the img tag (the weather images) did not update ( i.e. first search 91001 everything looks great, searched again for 95133, name changed to San Jose but the weather forecast images did not update from 91001's to 95133's)

You always append forecast data to the forecast state but only reference the first 8 elements.

Please Put width and height width:100%; height:100vh;

If the keys in the dictionary are always the same, you could try a formatted string:

print(f'Here is your forecast for {city["city_name"]}. Expect {city["forecast_condition"]} conditions with temperatures topping out at {city["forecast_temp"]} degrees.')

Initially status is an empty array. You need to check the length of the array to know whether it is populated by the API call.

Instead of

Just like with other list categories C, you need to use a constructor that takes two (or more) Cs and creates a [C].

For categories that are in the RGL API, there are convenience opers of type mkC : Conj -> C -> C -> C, but under the hood, those opers also need to call the proper constructors for [C]. (The constructors are called BaseC and ConsC, and you can read more on lists here.)

So VPS is not in the API, so there is no convenience oper with type signature Conj -> VPS -> VPS -> VPS. Instead, you need to call BaseVPS explicitly. Here is working code, I cut your long expression into smaller pieces.

The easiest way to do this is to use tokens_lookup() with a category for tokens not matched, then to compile this into a dfm that you then convert to term proportions within document.

To use a reproducible example from built-in quanteda objects, the process would be the following. (You can substitute your own corpus and dictionary and the code should work fine.)