在Python中创建可视化:EmptyDataError

时间:2017-04-27 21:33:29

标签: python csv visualization

我使用python读取csv文件并创建一些数字:

import csv
Teaching=open('A.csv','rb')
reader = csv.reader(Teaching)
#type is list.....
#create figure1,2,3 by using bokeh
#.....
import pandas as pd
df = pd.read_csv(Teaching)
#create figure4 by using bokeh
#I use series type to create a scatter plot

它有一个错误:EmptyDataError:没有要从文件中解析的列

EmptyDataError                            Traceback (most recent call last)
<ipython-input-45-c97e3d2be637> in <module>()
----> 1 df = pd.read_csv(Teaching)

如果我重新打开CSV文件,它将起作用并创建散点图

请告诉我原因,如何修改? 谢谢

1 个答案:

答案 0 :(得分:0)

在迭代file对象后,读到文件的末尾,下次要读取数据时,它将返回此错误:

pandas.io.common.EmptyDataError: No columns to parse from file

因此,您可以尝试重新打开它或使用file.seek(0)重新定位到文件的开头。

代码应该是这样的:

import csv
Teaching=open('a.csv','rb')
reader = csv.reader(Teaching)
for r in reader:
    print(r)

import pandas as pd
Teaching.seek(0)
df = pd.read_csv(Teaching)
print(df)