Vader | Process control in Java | BPM library

To do this in a map-like loop, you would typically use the mapM_ library function. The final underscore_ in the function name means that action results are ignored, something which suits us as we want a result type of IO ().

It seems appropriate to get a file handle, in order to avoid asking the OS to repetitively reopen the same output file, which is wasteful.

Possible code:

You can make use of the Monoid instance and work with:

Try using groupby and agg to address the issue.

eth.groupby('Date')['Sentiment Values'].agg('mean')

Your form is submitting desc_1, so there's a an input with name="desc_1" that has a populated value of Type bestand somewhere in your template. blank=True means the value can be left empty. Since your field has choices and blank=True, the submitted value can be either empty or one of the FILE_TYPE_CHOICES.

You're saying that Type bestand is the placeholder for this field, but if you rendered this field as a hidden input ({{ form.desc_1 }} since you have a widget overridden) it would not and should not have a placeholder.

A regular form equivalent would be:

I'm not able to reproduce - probably because the error is happening later down the dataframe than you've sent here.

I'm guessing the issue is that you've got some non-strings (floats, specifically) in your Comments columns. Probably you should examine them and remove them, but you can also just convert them to strings before sentiment analysis with .astype(str):

Try this:

There are two issues with your code:

1. This: if check_name == coins_list: will always return false, since check_name is a string and coins_list is a list. You want if check_name in coins_list:.
2. baseurl isn't defined in the code snippet. Change it to url.

Perform both these changes, and you should have a nonempty output in your text file. The URLs in this file appear to be well-formed.

You just add toLowerCase mehtod to your filter function. just like this :

you can use pickle.

Pickle lets you.. well pickle your model for later use and in fact, you can use a loop to keep training the model until it reaches a certain accuracy and then exit the loop and pickle the model for later use.

You can find many tutorials on youtube on how to pickel a model.