[英]“No columns to parse from file” when reading in dictionary
I'm trying to take a dictionary object in python, write it out to a csv file, and then read it back in from that csv file.我正在尝试在 python 中获取字典 object,将其写入 csv 文件,然后从该 Z6287CB5675FFE884FZ 文件中读回
But it's not working.但它不起作用。 When I try to read it back in, it gives me the following error:
当我尝试重新读取它时,它给了我以下错误:
EmptyDataError: No columns to parse from file
I don't understand this for two reasons.我不明白这有两个原因。 Firstly, if I used pandas very own to_csv method, it should be giving me the correct format for a csv.
首先,如果我使用 pandas 非常自己的 to_csv 方法,它应该为我提供 csv 的正确格式。 Secondly, when I print out the header values (by doing this: print(df.columns.values) ) of the dataframe that I'm trying to save, it says I do in fact have headers ("one" and "two".) So if the object I was sending out had column names, I don't know why they wouldn't be found when I'm trying to read it back.
其次,当我打印出我试图保存的 dataframe 的 header 值(通过这样做: print(df.columns.values) )时,它说我确实有标题(“一个”和“两个” .) 所以如果我发送的 object 有列名,我不知道为什么当我试图读回来时找不到它们。
import pandas as pd
testing = {"one":1,"two":2 }
df = pd.DataFrame(testing, index=[0])
file = open('testing.csv','w')
df.to_csv(file)
new_df = pd.read_csv("testing.csv")
What am I doing wrong?我究竟做错了什么?
Thanks in advance for the help!在此先感谢您的帮助!
The default pandas.DataFrame.to_csv
takes a path and not an text io
.默认
pandas.DataFrame.to_csv
采用路径而不是text io
。 Just remove the file declaration and directly use the path, pass index = False
to skip indexes.只需删除文件声明并直接使用路径,通过
index = False
跳过索引。
import pandas as pd
testing = {"one":1,"two":2 }
df = pd.DataFrame(testing, index=[0])
df.to_csv('testing.csv', index = False)
new_df = pd.read_csv("testing.csv")
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