Trying to convert dictionary object with keys of type bytes to json using json.dumps(). Format of dictionary object is not known beforehand. Have found solution for arrays or dictionaries with byte values when using json.dumps (Convert bytes embedded in list (or dict) to str for use with json.dumps) but have not found one for byte keys. Output from above Answer
Tag: json
Parse Json file in python and print response in dialogflow
I have a JSON file. I want to parse it and print the response in Dialogflow. some JSON: parse x: Answer Try this Output: South Yes Update : 1 Your json is an object. It is not array. Check this https://stackoverflow.com/a/38561016/2086966 So, you does not have to iterate with a for-loop. Just use as follows Update : 2 I guess
Object of type datetime is not JSON serializable error
I have some issues with using a DateTime value in python. When I use session_start in the following code, I get an Object of type datetime is not JSON serializable error views.py model.py traceback I retrieve the value from a database view which is filled by other tables where the user fills in their data. Could someone help me with
How to extract json from nested column to dataframe
I’m pulling stock data from TD Ameritrade API and I want to store it in a DataFrame. From the API I get a nested JSON object and when I put it in a data frame I get 4 columns: Index, Candles, Empty, Symbol. However inside of candles is a dictionary that I want as separate columns in the dataframe (‘open’,’close’,…)
Converting a YAML file to JSON object in Python
How can I load a YAML file and convert it to a Python JSON object? My YAML file looks like this: Answer you can use PyYAML And in the ipython console:
Save and export dtypes information of a python pandas dataframe
I have a pandas DataFrame named df. With df.dtypes I can print on screen: I want to save this information so that I can compare it with other data, type-cast things elsewhere, etc. I want to save it into to a local file, recover it elsewhere in another program where the data can’t go. But I’m not able to figure
Formatting Json for Python LocustIO
Why am I getting bad request for this post calls? It has to do with json formatting. How do I reformat the json object passed as param? I’m running a load test using LocustIO and Python. Answer json.dumps takes as input json object (lists & dictionaries) and serializes it giving a string as output. You are feeding it with nameInquiry,
pandas DataFrame: normalize one JSON column and merge with other columns
I have a pandas DataFrame containing one column with multiple JSON data items as list of dicts. I want to normalize the JSON column and duplicate the non-JSON columns: I want I can normalize JSON data using: but I don’t know how to join that back to the id column of the original DataFrame. Answer You can use concat with
How to import JSON file to MongoDB using Python
I have this JSON file, currencies.json: And this connection in Python: My db name is countries_db with the currency collection. Is there a way to import the file to the db using python? Thanks for your help. Answer You can read data from file and insert it into collection using insert_one method:
How do I get the Swagger-generated Python client to work?
I have generated the python client and server from https://editor.swagger.io/ – and the server runs correctly with no editing, but I can’t seem to get the client to communicate with it – or with anything. I suspect I’m doing something really silly but the examples I’ve found on the Internet either don’t work or appear to be expecting that I