I am trying to write line by line the JSON output from my Python request. I already checked some similar issue on StackOverflow in the question: write to file line by line python, without success.
Here is the code:
myfile = open ("data.txt", "a")
for item in pretty_json["geonames"]:
print (item["geonameId"],item["name"])
myfile.write ("%s\n" % item["geonameId"] + "https://www.geonames.org/" + item["name"])
myfile.close()
Here the output from my pretty_json["geonames"]
{
"adminCode1": "FR",
"lng": "7.2612",
"geonameId": 2661847,
"toponymName": "Aeschlenberg",
"countryId": "2658434",
"fcl": "P",
"population": 0,
"countryCode": "CH",
"name": "Aeschlenberg",
"fclName": "city, village,...",
"adminCodes1": {
"ISO3166_2": "FR"
},
"countryName": "Switzerland",
"fcodeName": "populated place",
"adminName1": "Fribourg",
"lat": "46.78663",
"fcode": "PPL"
}
Then, as output saved on my data.txt, I'm having :
11048419
https://www.geonames.org/Aïre2661847
https://www.geonames.org/Aeschlenberg2661880
https://www.geonames.org/Aarberg6295535
The expected result should be something like:
Aïre , https://www.geonames.org/11048419
Aeschlenberg , https://www.geonames.org/2661847
Aarberg , https://www.geonames.org/2661880
Writing the output in CSV could be a solution?
Regards.
Using the csv module.
Ex:
import csv
with open("data.txt", "a") as myfile:
writer = csv.writer(myfile) #Create Writer Object
for item in pretty_json["geonames"]: #Iterate list
writer.writerow([item["name"], "https://www.geonames.org/{}".format(item["geonameId"])]) #Write row.
If I understand correctly, you want the same screen output to your file. That's easy. If you are on python 3 just add to your print function:
print (item["geonameId"],item["name"], file=myfile)
Just compose a proper printing format for the needed items:
...
for item in pretty_json["geonames"]:
print("{}, https://www.geonames.org/{}".format(item["name"], item["geonameId"]))
Sample output:
Aeschlenberg, https://www.geonames.org/2661847
Related
Hello everyone and happy new year! I'm posting for the first time here since I can't find an answer for my problem, I've been searching for 2 days now and can't figure out what to do and it's driving me crazy... Here's my problem:
I'm using the Steamspy api to download data of the 100 most played games in the last 2 weeks on Steam, I'm able to dump the downloaded data into a .json file (dumped_data.json in this case), and to import it back into my Python code (I can print it). And while I can print the whole thing, it's not really useable as it's 1900 lines of more or less useful data, so I want to be able to print only specific items of the dumped data. In this project, I would like to only print the name, developer, owners and price of the first 10 games on the list. It's my first Python project, and I can't figure out how to do this...
Here's the Python code:
import steamspypi
import json
#gets data using the steamspy api
data_request = dict()
data_request["request"] = "top100in2weeks"
#dumps the data into json file
steam_data = steamspypi.download(data_request)
with open("dumped_data.json", "w") as jsonfile:
json.dump(steam_data, jsonfile, indent=4)
#print values from dumped file
f = open("dumped_data.json")
data= json.load(f)
print(data)
And here's an exemple of the first item in the json file:
{
"570": {
"appid": 570,
"name": "Dota 2",
"developer": "Valve",
"publisher": "Valve",
"score_rank": "",
"positive": 1378093,
"negative": 267290,
"userscore": 0,
"owners": "100,000,000 .. 200,000,000",
"average_forever": 35763,
"average_2weeks": 1831,
"median_forever": 1079,
"median_2weeks": 1020,
"price": "0",
"initialprice": "0",
"discount": "0",
"ccu": 553462
},
Thanks in advance to everyone that's willing to help me, it would mean a lot.
The following prints the values you desire from the first 10 games:
for game in list(data.values())[:10]:
print(game["name"], game["developer"], game["owners"], game["price"])
I am trying to convert a CSV file to JSON but there is a header in my csv that is empty. Is there a way to name it when outputting it to JSON?
Example data
"" Calories Fat Sodium
Bread 100 10 23
I got this code from geeksforgeeks
import csv
import json
# Function to convert a CSV to JSON
# Takes the file paths as arguments
def make_json(csvFilePath, jsonFilePath):
# create a dictionary
data = {}
# Open a csv reader called DictReader
with open(csvFilePath, encoding='utf-8') as csvf:
csvReader = csv.DictReader(csvf)
# Convert each row into a dictionary
# and add it to data
for rows in csvReader:
# Assuming a column named 'No' to
# be the primary key
key = rows['']
data[key] = rows
# Open a json writer, and use the json.dumps()
# function to dump data
with open(jsonFilePath, 'w', encoding='utf-8') as jsonf:
jsonf.write(json.dumps(data, indent=4))
# Driver Code
# Decide the two file paths according to your
# computer system
csvFilePath = r'Names.csv'
jsonFilePath = r'Names.json'
# Call the make_json function
make_json(csvFilePath, jsonFilePath)
I did this and it gets the first row, but i'm not sure how to rename it when i output it to JSON.
It appears as "":"Bread" in the JSON file.
key = rows['']
Thanks in advance if anyone can help!
Edit: Expected output
{
"Food": "Bread",
"Calories": "45",
"Fat (g)": "0",
"Carb. (g)": "11",
"Fiber (g)": "0",
"Protein": "0",
"Sodium": "10"
}
I try to save a "pretty" json object which I created from a pandas dataframe.
df = pd.read_csv("https://gist.githubusercontent.com/seankross/a412dfbd88b3db70b74b/raw/5f23f993cd87c283ce766e7ac6b329ee7cc2e1d1/mtcars.csv")
import json
d = df.to_dict(orient='records')
j = json.dumps(d, indent=2)
print(j)
The printed output looks great and when I copy it to an editor, it seems to work.
[
{
"model": "Mazda RX4",
"mpg": 21.0,
"cyl": 6,
"disp": 160.0,
"hp": 110,
"drat": 3.9,
"wt": 2.62,
"qsec": 16.46,
"vs": 0,
"am": 1,
"gear": 4,
"carb": 4
}
]
However, when I save it to disc, I does not look like expected.
with open("beispiel.json", "w") as write_file:
json.dump(j, write_file)
Everything is in one line and is not formatted at all:
"[\n {\n \"model\": \"Mazda RX4\",\n \"mpg\": 21.0,\n \"cyl\": 6,\n \"disp\": 160.0,\n
What am I doing wrong here?
The reason is that j is a string, so when you do:
with open("beispiel.json", "w") as write_file:
json.dump(j, write_file)
you are writing the string to the file. Just do:
json.dump(d, write_file, indent=2)
Try this:
import json
import pandas as pd
df = pd.read_csv("https://gist.githubusercontent.com/seankross/a412dfbd88b3db70b74b/raw/5f23f993cd87c283ce766e7ac6b329ee7cc2e1d1/mtcars.csv")
d = df.to_dict(orient='records')
# 1st form
with open("beispiel.json", "w") as write_file:
write_file.write(json.dumps(d, indent=2))
# or 2nd form
with open("beispiel.json", "w") as write_file:
json.dump(d, write_file, indent=2)
I am using python 3 to read this file and convert it to a dictionary.
I have this string from a file and I would like to know how could be possible to create a dictionary from it.
[User]
Date=10/26/2003
Time=09:01:01 AM
User=teodor
UserText=Max Cor
UserTextUnicode=392039n9dj90j32
[System]
Type=Absolute
Dnumber=QS236
Software=1.1.1.2
BuildNr=0923875
Source=LAM
Column=OWKD
[Build]
StageX=12345
Spotter=2
ApertureX=0.0098743
ApertureY=0.2431899
ShiftXYZ=-4.234809e-002
[Text]
Text=Here is the Text files
DataBaseNumber=The database number is 918723
..... (There are more than 1000 lines per file) ...
On the text I have "Name=Something" and then I would like to convert it as follows:
{'Date':'10/26/2003',
'Time':'09:01:01 AM'
'User':'teodor'
'UserText':'Max Cor'
'UserTextUnicode':'392039n9dj90j32'.......}
The word between [ ] can be removed, like [User], [System], [Build], [Text], etc...
In some fields there is only the first part of the string:
[Colors]
Red=
Blue=
Yellow=
DarkBlue=
What you have is an ordinary properties file. You can use this example to read the values into map:
try (InputStream input = new FileInputStream("your_file_path")) {
Properties prop = new Properties();
prop.load(input);
// prop.getProperty("User") == "teodor"
} catch (IOException ex) {
ex.printStackTrace();
}
EDIT:
For Python solution, refer to the answerred question.
You can use configparser to read .ini, or .properties files (format you have).
import configparser
config = configparser.ConfigParser()
config.read('your_file_path')
# config['User'] == {'Date': '10/26/2003', 'Time': '09:01:01 AM'...}
# config['User']['User'] == 'teodor'
# config['System'] == {'Type': 'Abosulte', ...}
Can easily be done in python. Assuming your file is named test.txt.
This will also work for lines with nothing after the = as well as lines with multiple =.
d = {}
with open('test.txt', 'r') as f:
for line in f:
line = line.strip() # Remove any space or newline characters
parts = line.split('=') # Split around the `=`
if len(parts) > 1:
d[parts[0]] = ''.join(parts[1:])
print(d)
Output:
{
"Date": "10/26/2003",
"Time": "09:01:01 AM",
"User": "teodor",
"UserText": "Max Cor",
"UserTextUnicode": "392039n9dj90j32",
"Type": "Absolute",
"Dnumber": "QS236",
"Software": "1.1.1.2",
"BuildNr": "0923875",
"Source": "LAM",
"Column": "OWKD",
"StageX": "12345",
"Spotter": "2",
"ApertureX": "0.0098743",
"ApertureY": "0.2431899",
"ShiftXYZ": "-4.234809e-002",
"Text": "Here is the Text files",
"DataBaseNumber": "The database number is 918723"
}
I would suggest to do some cleaning to get rid of the [] lines.
After that you can split those lines by the "=" separator and then convert it to a dictionary.
I have an excel file in which data is saved in csv format in such a way.This data is present in the excel file as shown below,under column A (The CSV File is generated by LabView Software code which i have written to generate data).I have also attached an image of the csv file for reference at the end of my question.
RPM,Load Current,Battery Output,Power Capacity
1200,30,12,37
1600,88,18,55
I want to create a Json file in such format
{
"power_capacity_data" :
{
"rpm" : ["1200","1600"],
"load_curr" : ["30","88"],
"batt_output" : ["12","18"],
"power_cap" : ["37","55"]
}
}
This is my code
import csv
import json
def main():
#created a dictionary so that i can append data to it afterwards
power_data = {"rpm":[],"load_curr":[],"batt_output":[],"power_cap":[]}
with open('power1.lvm') as f:
reader = csv.reader(f)
#trying to append the data of column "RPM" to dictionary
rowcount = 0
for row in reader:
if rowcount == 0:
#trying to skip the first row
rowcount = rowcount + 1
else:
power_data['rpm'].append(row[0])
print(row)
json_report = {}
json_report['pwr_capacity_data'] = power_data
with open('LVMJSON', "w") as f1:
f1.write(json.dumps(json_report, sort_keys=False, indent=4, separators=(',', ': '),encoding="utf-8",ensure_ascii=False))
f1.close()
if __name__ == "__main__":
main()
The output json file that i am getting is this:(please ignore the print(row) statement in my code)
{
"pwr_capacity_data":
{
"load_curr": [],
"rpm": [
"1200,30,12.62,37.88",
"1600,88,18.62,55.88"
],
"batt_output": [],
"power_cap": []
}
}
The whole row is getting saved in the list,but I just want the values under the column RPM to be saved .Can someone help me out with what I may be doing wrong.Thanks in advance.I have attached an image of csv file to just in case it helps
You could use Python's defaultdict to make it a bit easier. Also a dictionary to map all your header values.
from collections import defaultdict
import csv
import json
power_data = defaultdict(list)
header_mappings = {
'RPM' : 'rpm',
'Load Current' : 'load_curr',
'Battery Output' : 'batt_output',
'Power Capacity' : 'power_cap'}
with open('power1.lvm', newline='') as f_input:
csv_input = csv.DictReader(f_input)
for row in csv_input:
for key, value in row.items():
power_data[header_mappings[key]].append(value)
with open('LVMJSON.json', 'w') as f_output:
json.dump({'power_capacity_data' : power_data}, f_output, indent=2)
Giving you an output JSON file looking like:
{
"power_capacity_data": {
"batt_output": [
"12",
"18"
],
"power_cap": [
"37",
"55"
],
"load_curr": [
"30",
"88"
],
"rpm": [
"1200",
"1600"
]
}
}