Hi i have just started learning python getting following error while uploading data

Technical Analysis
1 
# For data manipulation
import numpy as np
import pandas as pd

# For technical analysis
import talib as ta
import warnings

# For plotting
import matplotlib.pyplot as plt
%matplotlib inline
plt.style.use('seaborn-darkgrid')
data = pd.read_csv("C:\Users\Admin\Desktop\XL Files\Bank NIfty 16 April")

 Cell In[25], line 1
    data = pd.read_csv("C:\Users\Admin\Desktop\XL Files\Bank NIfty 16 April")
                                                                            ^
SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escape
2

The Python error "SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position" occurs when there is an unescaped backslash character in a file path. This means that the error is caused by the presence of backslashes () in the path, which have a special meaning in Python, as a backslash is used as an escape character (e.g. \n or \t).



You can use double backslashes (\) or a single forward slash (/) in the file path to resolve this problem. 

You also need to add a .csv extension to the end of the path.



So the correct command would be:

data = pd.read_csv("C:\Users\Admin\Desktop\XL Files\Bank NIfty 16 April.csv")

Or

data = pd.read_csv("C:/Users/Admin/Desktop/XL Files/Bank NIfty 16 April.csv")



You should also avoid using spaces in the file name as it could lead to problems while reading the file.



 

3

Hi,



after trying the above given sugesstion, i am getting the following error. pls help.

 

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
Cell In[11], line 1
----> 1 data = pd.read_csv("C:\\Users\\Admin\\Desktop\\XL Files\\BankNIfty16_April.csv")

File ~\anaconda3\envs\quantra_py\lib\site-packages\pandas\io\parsers.py:610, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
    605 kwds_defaults = _refine_defaults_read(
    606     dialect, delimiter, delim_whitespace, engine, sep, defaults={"delimiter": ","}
    607 )
    608 kwds.update(kwds_defaults)
--> 610 return _read(filepath_or_buffer, kwds)

---- code writen as 

data = pd.read_csv("C:\Users\Admin\Desktop\XL Files\BankNIfty16_April.csv")

 

4

Hi, 



The error is a FileNotFoundError which means that the file "BankNIfty16_April.csv" cannot be found at the specified path. Double-check that the file is located in the directory specified in the file path and that the file name is spelt correctly, or you can try using a relative file path if the CSV file is located in the same directory as your Python script or notebook. For example, if your Python script or notebook is located in the same directory as the "BankNIfty16_April.csv" file, you can simply use "BankNIfty16_April.csv" as the file path.



You should also confirm that you have the required permissions to access the file. If the file is situated in a restricted folder, you may need to acquire suitable permissions to be able to read it.