使用Python將Json轉換為CSV

Question

下面是我從在線氣象站提取的json結構。 我還包括一個json_to_csv python腳本，該腳本應該將json數據轉換為csv輸出，但僅返回“ Key”錯誤。 我只想從“ current_observation”中提取數據。

{
  "response": {
  "features": {
  "conditions": 1
  }
    }
  , "current_observation": {
        "display_location": {
        "latitude":"40.466442",
        "longitude":"-85.362709",
        "elevation":"280.4"
        },
        "observation_time_rfc822":"Fri, 26 Jan 2018 09:40:16 -0500",
        "local_time_rfc822":"Sun, 28 Jan 2018 11:22:47 -0500",
        "local_epoch":"1517156567",
        "local_tz_short":"EST",
        "weather":"Clear",
        "temperature_string":"44.6 F (7.0 C)",
    }
}



import csv, json, sys
inputFile = open("pywu.cache.json", 'r') #open json file
outputFile = open("CurrentObs.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
output.writerow(data[0].keys())
for row in data:
    output = csv.writer(outputFile) #create a csv.write 
    output.writerow(data[0].keys())
for row in data:
    output.writerow(row.values()) #values row

檢索溫度字符串並將其轉換為.csv格式的最佳方法是什么？ 謝謝！

Answer 1

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")

也許熊貓可以為您提供幫助。 .read_json（）函數創建一個不錯的數據框，您可以從中輕松選擇所需的行和列。 它也可以另存為csv。

要將緯度和經度添加到csv行中，您可以執行以下操作：

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")

要以數字值打印位置，可以執行以下操作：

df = pd.to_numeric(df, errors="ignore")
print(df['latitude'], df['longitude'])

Answer 2

這將找到在json blob內部指定的所有鍵（例如“ temperature_string”），然后將其寫入csv文件。 您可以修改此代碼以獲取多個密鑰。

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()