• 如何将更复杂的JSON转换为CSV?

    我有更复杂的JSON,我正在尝试转换成CSV。 我试过这里和其他页面的几个例子,但我不能找出几个细节。我试着使用熊猫,但我不知道如何处理嵌套列表。 下面的例子是Zendesk的一张票。我会有一个文件,每行是一张票。 我想为CSV中的每个票据获取字段,其中每行表示字段的值。基本上是平面结构。例子: id、via、created at、subject、description、自定义字段id1、自定义字段id2、请求者等。 JSON文件 [{ "url": "https://test.zendesk.co...
  • CSV导入失败-大容量加载数据转换错误(指定代码页的类型不匹配或无效字符)

    嗨,我是通过商店程序批量插入。我得到下面的错误。它正在为其他文件运行,但失败会为下面的CSV示例行抛出一个错误。我希望这是一个相对严格的东西与批量插入语句。 有人能帮我摆脱痛苦吗? Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 3, column 7 (bbg_ticker_tri). Msg 4864, Level 16, State 1, Li...
  • null byte detected when reading in csv in pandas

    my code throws a parsing error, suggesting to change the engine from 'c' to 'python' and the other way around. I only added the error_bad_lines because of suggestions in the forums. But it did not solve my issues. files = [file for file in os.listdir('/Use...
  • 使用熊猫平衡数据集

    这是一个机器学习程序。 I am working with a dataset that has a csv which contains an id, for a .tif image in another directory, and a label, 1 or 0. There are 220,025 rows in the csv. I have loaded this csv as a pandas dataframe. Currently in the dataframe, there are ...
  • 如何在检查条件后在数据帧中分配项?

    我正在遍历一个pandas数据帧(最初是一个csv文件),并在某个列的每一行中检查特定的关键字。如果它至少出现一次,我就给一个分数加1。有7个关键字,如果分数>=6,我想用一个字符串(这里是“Software and application developer”)分配另一列(但在这一行)的一个项,并保存分数。不幸的是,所有地方的分数都是一样的,我很难相信。这是我目前的代码: for row in data.iterrows(): devScore=0 if row[1].str.contains("deve...
  • 我试图用各自的数据(CSV)匹配两个独立的列

    正如标题所说,我正在尝试将两个不同的列存储到某种字典中。我用熊猫来做这个,说实话。。。在这个项目中我还在学习熊猫。以下是我想做的: 模拟示例CSV: column1 | column2 | column3 Burgers McDonalds 3.00 我想做的是创建一个字典,它会像: data = { "Burgers": 3.00} 我试着用熊猫和for循环来做这个?这些是正确的步骤吗?下面是我的源代码。 import tkinter import csv import pand...
  • How to construct a pd.Series of a string

    how can i construct a pd.Series object from the string (imported as a txt file) that contains each cell as a data field? string: 'Hegselmann, R. (2012). Thomas C. Schelling and the Computer: Some Notes on Schelling’s Essay „Letting a Computer Help with th...
  • Read CSV files faster in Julia

    I have noticed that loading a CSV file using CSV.read is quite slow. For reference, I am attaching one example of time benchmark: using CSV, DataFrames file = download("https://github.com/foursquare/twofishes") @time CSV.read(file, DataFrame) Output: 9.4...
  • Reading one entire cell of a .csv file into a variable

    There are three cells per line in a .csv file. I'm trying to read each cell into a private member variable of a class I have created. I cannot figure out how to read all of cell A1 into one string variable, then B1 into a double variable, and C3 into anoth...
  • From nested XML to CSV using XSLT (advanced)

    I wish to transform an XML message to a CSV file, however I have some requirements of which I'm not sure I'm going to solve using XSLT. First the original XML file: <ProductInformation> <Products> <Product ID="itemid-00001" UserTypeID="objectType" Pa...
  • 如何从字典中删除/xa0?

    I have a csv file. I read and made a dictionary with its columns. but in dictionary I have a lot of /xa0 how I can remove them? data=pd.read_csv('A.csv') data.dropna(inplace=True) Title = data['FIRST'].str.lower() Abbr = data['1ST'].str.lower() JobAbbrevia...
  • 用Python编写大型CSV的最快方法

    我想写一些随机样本数据在一个csv文件,直到它是1GB大。以下代码正在工作: import numpy as np import uuid import csv import os outfile = 'data.csv' outsize = 1024 # MB with open(outfile, 'ab') as csvfile: wtr = csv.writer(csvfile) while (os.path.getsize(outfile)//1024**2) < outsize: ...
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