[英]How do we avoid the data type conversion of data when we load a pandas data frame into a csv file using to_csv()
To elaborate the issue what's happening is that we have a table in snowflake that is being loaded into a pandas data frame, we are then loading this data frame into a csv using to_csv().为了详细说明正在发生的问题,我们有一张雪花表正在加载到 pandas 数据帧中,然后我们使用 to_csv() 将此数据帧加载到 csv 中。 The thing is that there is one column in our data frame, let's say COL1 there is one value(and many such values) eg: 5MAR, this particular value while loading into the csv is getting converted to date ie 5-Mar, similarly 5JUL is getting converted to 5-Jul.
问题是我们的数据框中有一列,假设 COL1 有一个值(和许多这样的值),例如:5MAR,加载到 csv 时的这个特定值被转换为日期,即 3 月 5 日,类似 5 月正在转换为 7 月 5 日。 How do I resolve this issue, been stuck on it since 2 days.
我该如何解决这个问题,自 2 天以来一直卡在它上面。 Would really appreciate if someone would help me.
如果有人能帮助我,我将不胜感激。
These are the following things I've tried:这些是我尝试过的以下事情:
This may have been asked before one way or another... Anyway, it is highly possible the conversion is happening when you read in the first csv To load a csv, you want to use a这可能已经以一种或另一种方式被问过......无论如何,当您阅读第一个 csv 要加载 csv 时,很有可能正在发生转换。
df=pd.read_csv(
csv_fname,header=None,
converters={i: str for i in range(100)}
)
will make sure that each of the first 100 columns is read as a string...将确保前 100 列中的每一列都被读取为字符串...
Here, the header is set to None , header=None
, so no headers and the first raw will also be read as strings.在这里, header 设置为 None ,
header=None
,因此没有标题,第一个 raw 也将被读取为字符串。 If you do not want this, just do not include that part.如果您不想要这个,请不要包含该部分。
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