熊猫read_table错误

Question

I'm new to Python and trying to learn Pandas but running into a problem earlly on. I'm trying to read a log file and save it as a dataframe. It's a space delimited text file with a single header row containing the column names. Here's the sample code I'm running just to test the read function.

import pandas as pd
data = pd.read_table('C:\Aerosonde Test Logs\MH_Data\TEC_20170105-083220\222_1_4435_.log',
               delim_whitespace='True', nrows=20)
print(data)

Below is a snippet of the log file.

<Clock>[ms] <Year>  <Month> <Day>   <Hours> <Minutes>   <Seconds>   <Lat>[rad]  <Lon>[rad]  <Height>[m]
48161   2017    1   5   4   30  13.366  5.02E-06    8.05E-07    267.37
49161   2017    1   5   4   30  14.366  5.01E-06    7.95E-07    266.61
50161   2017    1   5   4   30  15.366  5.02E-06    7.95E-07    266.24

I keep getting errors though. When I try and read the entire log file I'm getting the error.

"UnicodeEncodeError: 'mbcs' codec can't encode characters in position 0--1: invalid character"

I tried opening the log file in Excel and then saving it again as a tab delimited file. When I tried to open that file using the same code I got a seperate error.

"TypeError: an integer is required"

I tried skipping the header rows thinking the extra characters there were the problem but that didn't fix it either. So now I'm at a loss and hoping for some advice!

EDIT: So thanks to Matteo I was able to fix the UnicodeEncodeError by adding '\\' to the filepath string. Now though I get the TypeError: an integer is required when trying to open the log file. I appear to get it when trying to open any space or tab delimeted file. I just made a quick space delimeted file and I get the same error. I even looked at the data in a hex editor to double check and I don't see any odd bytes so no idea whats happening.

Current read table code

data = pd.read_table('C:\\Aerosonde Test Logs\\MH_Data\\TEC_20170105-083220\\TestLogFile.txt',
               delim_whitespace='True')

HexData for test text file

Answer 1

I thinks that the error is due to the string of the path of log file; you can try to put \\ instead of . See also UnicodeEncodeError: 'mbcs' codec can't encode characters in position 0--1: invalid character upon running a PyInstaller-compiled script

Answer 2

Matteo Franchi fixed the UnicodeEncodeError by advising that I add an additional '\\' to the filepath string which still left me with the TypeError when I tried to read in the data. Apparently I was not specifying the delim_whitespace correctly. I had copied that argument from an example where the True statement was inside of quotes and that does not work. The code below worked fine.

data = pd.read_table('C:\\Aerosonde Test Logs\\MH_Data\\TEC_20170105-083220\\222_1_4435_.log',
                 delim_whitespace=True)