FileNotFoundError: [Errno 2] No such file or directory: 'filename.csv' about pandas-ai HOT 15 CLOSED

dataSource = input("\nEnter file name and extension (File must be inside of the PlastiGPT folder): ")

if os.path.isfile(dataSource):

    if os.path.isfile("filename.csv"):
    
        os.remove("filename.csv")
        
    shutil.copyfile(dataSource, "filename.csv")
                        
    break
    
else:

    print("\nThe file name you entered doesn't exist. Be sure to include the file extension")

FileNotFoundError                         Traceback (most recent call last)
Cell In[7], line 1
----> 1 pandas_ai.run(
      2     data,
      3     "plot the growth of Internet popularity in Entity Russia",
      4 )

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\__init__.py:119, in PandasAI.run(self, data_frame, prompt, is_conversational_answer, show_code)
    116 if show_code and self._in_notebook:
    117     self.notebook.create_new_cell(code)
--> 119 answer = self.run_code(code, data_frame, False)
    120 self.code_output = answer
    121 self.log(f"Answer: {answer}")

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\__init__.py:165, in PandasAI.run_code(self, code, df, use_error_correction_framework)
    161             code_to_run = self._llm.generate_code(
    162                 error_correcting_instruction, ""
    163             )
    164 else:
--> 165     exec(code)
    167 # Restore standard output and get the captured output
    168 sys.stdout = sys.__stdout__

File <string>:4

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\io\parsers\readers.py:912, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, 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, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)
    899 kwds_defaults = _refine_defaults_read(
    900     dialect,
    901     delimiter,
   (...)
    908     dtype_backend=dtype_backend,
    909 )
    910 kwds.update(kwds_defaults)
--> 912 return _read(filepath_or_buffer, kwds)

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\io\parsers\readers.py:577, in _read(filepath_or_buffer, kwds)
    574 _validate_names(kwds.get("names", None))
    576 # Create the parser.
--> 577 parser = TextFileReader(filepath_or_buffer, **kwds)
    579 if chunksize or iterator:
    580     return parser

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\io\parsers\readers.py:1407, in TextFileReader.__init__(self, f, engine, **kwds)
   1404     self.options["has_index_names"] = kwds["has_index_names"]
   1406 self.handles: IOHandles | None = None
-> 1407 self._engine = self._make_engine(f, self.engine)

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\io\parsers\readers.py:1661, in TextFileReader._make_engine(self, f, engine)
   1659     if "b" not in mode:
   1660         mode += "b"
-> 1661 self.handles = get_handle(
   1662     f,
   1663     mode,
   1664     encoding=self.options.get("encoding", None),
   1665     compression=self.options.get("compression", None),
   1666     memory_map=self.options.get("memory_map", False),
   1667     is_text=is_text,
   1668     errors=self.options.get("encoding_errors", "strict"),
   1669     storage_options=self.options.get("storage_options", None),
   1670 )
   1671 assert self.handles is not None
   1672 f = self.handles.handle

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\io\common.py:859, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
    854 elif isinstance(handle, str):
    855     # Check whether the filename is to be opened in binary mode.
    856     # Binary mode does not support 'encoding' and 'newline'.
    857     if ioargs.encoding and "b" not in ioargs.mode:
    858         # Encoding
--> 859         handle = open(
    860             handle,
    861             ioargs.mode,
    862             encoding=ioargs.encoding,
    863             errors=errors,
    864             newline="",
    865         )
    866     else:
    867         # Binary mode
    868         handle = open(handle, ioargs.mode)

FileNotFoundError: [Errno 2] No such file or directory: 'filename.csv'

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('filename.csv') # replace filename with actual file name

russia_df = df[df['Entity'] == 'Russia']
plt.plot(russia_df['Year'], russia_df['Internet Users(%)'])
plt.xlabel('Year')
plt.ylabel('Internet Users(%)')
plt.title('Internet Popularity in Russia')
plt.show()

import pandas as pd

from pandasai import PandasAI
from pandasai.llm.openai import OpenAI

data = pd.read_csv('internet_users.csv')

pandas_ai.run(
    data,
    "plot the growth of Internet popularity in Entity Russia",
)

russia_df = df[df['Entity'] == 'Russia']
russia_df['Year'] = pd.to_datetime(russia_df['Year'], format='%Y')
russia_df.set_index('Year', inplace=True)
russia_df['No. of Internet Users'].plot()
plt.title('Internet Popularity in Russia')
plt.xlabel('Year')
plt.ylabel('No. of Internet Users')
plt.show()