嵌套字典和循環內的python字符串格式

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隨着下面的字典，我試圖實現字符串的創建。嵌套字典和循環內的python字符串格式

query_args= {"columns":{ "investingcom":"datetime, actual, forecast, previous", 
         "bloomberg":"datetime, Actual, `Surv(M)`, Prior", 
         "ft":"datetime, actual, forecast, prior"}, 
      "table":{"investingcom":"`all-data`.`indicators`", 
        "bloomberg":"`all-data`.`indicators-bloomberg`", 
         "ft":"`all-data`.indicators_ft"}, 
      "country":{"investingcom":"\"US\"", 
        "bloomberg":"\"US\"", 
         "ft":"\"United States\""}, 
      "name":{"investingcom":"\"Average Hourly Earnings (MoM)\"", 
        "bloomberg":"\"Average Hourly Earnings MoM\"", 
         "ft":"\"Average Hourly Earnings %% m/m\""} 
        }

有3串，我需要創造，因此，對於循環使用的：

for ind_source in ["investingcom", "bloomberg", "ft"]: 
    print('SELECT {columns[ind_source]} FROM {table[ind_source]} \ 
    WHERE country={country[ind_source]} AND name={name[ind_source]}'.format(**query_args))

然而，這會返回一個錯誤：

KeyError: 'ind_source'

任何建議如何使執行成功？

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2016-12-27 jim basquiat

我不熟悉，做它，你在你的例子嘗試（儘管有可能做到這一點與一些調整這樣的方式。然而，我會做的方式是類似如下：

query_args= {"columns":{ "investingcom":"datetime, actual, forecast, previous", 
         "bloomberg":"datetime, Actual, `Surv(M)`, Prior", 
         "ft":"datetime, actual, forecast, prior"}, 
      "table":{"investingcom":"`all-data`.`indicators`", 
        "bloomberg":"`all-data`.`indicators-bloomberg`", 
         "ft":"`all-data`.indicators_ft"}, 
      "country":{"investingcom":"\"US\"", 
        "bloomberg":"\"US\"", 
         "ft":"\"United States\""}, 
      "name":{"investingcom":"\"Average Hourly Earnings (MoM)\"", 
        "bloomberg":"\"Average Hourly Earnings MoM\"", 
         "ft":"\"Average Hourly Earnings %% m/m\""} 
        } 

for ind_source in ["investingcom", "bloomberg", "ft"]: 
    print('SELECT {} FROM {} \ 
    WHERE country={} AND name={}'.format(
     query_args['columns'][ind_source], 
     query_args['table'][ind_source], 
     query_args['country'][ind_source], 
     query_args['name'][ind_source], 
    ))

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2016-12-27 22:47:55 elethan

如何：

for ind_source in ["investingcom", "bloomberg", "ft"]: 
    print(('SELECT {columns[' +ind_source + ']} FROM {table[' + ind_source + ']} \ 
    WHERE country={country[' + ind_source + ']} AND name={name[' + ind_source + ']}').format(**query_args))

如果你把'ind_source'字符串，裏面格式化它將在query_args字典的關鍵'ind_source'搜索時。這本詞典沒有那個鍵，所以那個錯誤。而不是在for循環中將字符串與當前值ind_source連接起來。

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2016-12-27 22:41:11

感謝您的回覆。但是，現在我收到以下錯誤：'單個'}'遇到格式字符串' –

您仍然需要修復最後一個鍵（名稱） –

您是對的，已編輯！ –

我會嘗試以下方法：

for ind_source in ["investingcom", "bloomberg", "ft"]: 
    print(
     ("SELECT {columns[%(ind_source)s]} FROM {table[%(ind_source)s]}" 
      "WHERE country={country[%(ind_source)s]} AND " 
      "name={name[%(ind_source)s]}" % { 'ind_source': ind_source }) 
    .format(**query_args))

實質上是使用連續進行了兩場format操作，以獲得您想要的查詢

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2016-12-27 22:50:10 2ps

相反tryi的如果要執行復雜的格式，請先嚐試過濾數據以獲得更清晰的格式字符串和可讀性。

query_args= {"columns":{ "investingcom":"datetime, actual, forecast, previous", 
         "bloomberg":"datetime, Actual, `Surv(M)`, Prior", 
         "ft":"datetime, actual, forecast, prior"}, 
      "table":{"investingcom":"`all-data`.`indicators`", 
        "bloomberg":"`all-data`.`indicators-bloomberg`", 
         "ft":"`all-data`.indicators_ft"}, 
      "country":{"investingcom":"\"US\"", 
        "bloomberg":"\"US\"", 
         "ft":"\"United States\""}, 
      "name":{"investingcom":"\"Average Hourly Earnings (MoM)\"", 
        "bloomberg":"\"Average Hourly Earnings MoM\"", 
         "ft":"\"Average Hourly Earnings %% m/m\""} 
        } 

for ind_source in ["investingcom", "bloomberg", "ft"]: 
    args = {x: query_args[x][ind_source] for x in query_args} 
    print('SELECT {columns} FROM {table} \ 
    WHERE country={country} AND name={name}'.format(**args))

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2016-12-27 23:02:14 Alden

嵌套字典和循環內的python字符串格式

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