Reputation: 1185
I'm trying to create a csv file with data by using pandas library. I create the data (numerci values) and the index (the date of the value) like this :
date = chaine[:10] + " " + chaine[11:]
date = parseDate(date)
i = str(date).replace('-','')
i = str(i).replace(':','')
i = str(i).replace(' ','')
index.append(date)
data.append(row[2])
By doing print len(data)
and print len(index)
I get the value : 8294
for both.
By this code, I create the header which is the first column that contains the same text for all the rows : (meaning same text for any date any value) :
reader = csv.reader(file)
firstline = next(reader)
sensorname = firstline[0]
secondline = next(reader)
colname = sensorname+secondline[2].replace("D1a","")
header = [colname for row in secondline[2]]
I pass the index, data and header to the dataframe like this:
import pandas as pd
newDataframe = pd.DataFrame(data, index=index, columns=header)
Here is the error I get :
ERROR :: Shape of passed values is (1, 8294), indices imply (2, 8294)
newDataframe = pd.DataFrame(data, index=index, columns=header)
File "/usr/local/lib/python2.7/dist-packages/pandas/core/frame.py", line 279, in __init__
copy=copy)
File "/usr/local/lib/python2.7/dist-packages/pandas/core/frame.py", line 432, in _init_ndarray
return create_block_manager_from_blocks([values], [columns, index])
File "/usr/local/lib/python2.7/dist-packages/pandas/core/internals.py", line 3993, in create_block_manager_from_blocks
construction_error(tot_items, blocks[0].shape[1:], axes, e)
File "/usr/local/lib/python2.7/dist-packages/pandas/core/internals.py", line 3970, in construction_error
passed, implied))
ValueError: Shape of passed values is (1, 8294), indices imply (2, 8294)
Unfortunately my code is very complex, I tried to provied the most important parts. My file should be something like this :
"measure:pressure","20161203070000","34.243"
"measure:pressure","20161204070000","3.53"
"measure:pressure","20160403070000","77.1"
Am I missing something in the header?
Upvotes: 0
Views: 170
Reputation: 141
check the type of 'index' using type(index). I think it is series rather than a list.
Upvotes: 1