Below, is the json structure I am pulling from my online weather station. I am also including a json_to_csv python script that is supposed to convert json data to csv outpu
import pandas as pd
df = pd.read_json("pywu.cache.json")
df = df.loc[["local_time_rfc822", "weather", "temperature_string"],"current_observation"].T
df.to_csv("pywu.cache.csv")
maybe pandas can be of help for you. the .read_json() function creates a nice dataframe, from which you can easily choose the desired rows and columns. and it can save as csv as well.
to add latitude and longitude to the csv-line, you can do this:
df = pd.read_json("pywu.cache.csv")
df = df.loc[["local_time_rfc822", "weather", "temperature_string", "display_location"],"current_observation"].T
df = df.append(pd.Series([df["display_location"]["latitude"], df["display_location"]["longitude"]], index=["latitude", "longitude"]))
df = df.drop("display_location")
df.to_csv("pywu.cache.csv")
to print the location in numeric values, you can do this:
df = pd.to_numeric(df, errors="ignore")
print(df['latitude'], df['longitude'])
This will find all keys (e.g. "temperature_string") specified inside of the json blob and then write them to a csv file. You can modify this code to get multiple keys.
import csv, json, sys
def find_deep_value(d, key):
# Find a the value of keys hidden within a dict[dict[...]]
# Modified from https://stackoverflow.com/questions/9807634/find-all-occurrences-of-a-key-in-nested-python-dictionaries-and-lists
# @param d dictionary to search through
# @param key to find
if key in d:
yield d[key]
for k in d.keys():
if isinstance(d[k], dict):
for j in find_deep_value(d[k], key):
yield j
inputFile = open("pywu.cache.json", 'r') # open json file
outputFile = open("mypws.csv", 'w') # load csv file
data = json.load(inputFile) # load json content
inputFile.close() # close the input file
output = csv.writer(outputFile) # create a csv.write
# Gives you a list of temperature_strings from within the json
temps = list(find_deep_value(data, "temperature_string"))
output.writerow(temps)
outputFile.close()