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Updated 3 years ago
# Filtering out the warnings
import warnings
warnings.filterwarnings('ignore')# Importing the required libraries
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt# Reading the application_data.csv file using 'read_csv'.
df1 = pd.read_csv("application_data.csv")
df1.head()---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-17-a2c44142daf1> in <module>
1 # Reading the application_data.csv file using 'read_csv'.
----> 2 df1 = pd.read_csv("application_data.csv")
3 df1.head()
/opt/conda/lib/python3.8/site-packages/pandas/io/parsers.py 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)
684 )
685
--> 686 return _read(filepath_or_buffer, kwds)
687
688
/opt/conda/lib/python3.8/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
450
451 # Create the parser.
--> 452 parser = TextFileReader(fp_or_buf, **kwds)
453
454 if chunksize or iterator:
/opt/conda/lib/python3.8/site-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
944 self.options["has_index_names"] = kwds["has_index_names"]
945
--> 946 self._make_engine(self.engine)
947
948 def close(self):
/opt/conda/lib/python3.8/site-packages/pandas/io/parsers.py in _make_engine(self, engine)
1176 def _make_engine(self, engine="c"):
1177 if engine == "c":
-> 1178 self._engine = CParserWrapper(self.f, **self.options)
1179 else:
1180 if engine == "python":
/opt/conda/lib/python3.8/site-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
2006 kwds["usecols"] = self.usecols
2007
-> 2008 self._reader = parsers.TextReader(src, **kwds)
2009 self.unnamed_cols = self._reader.unnamed_cols
2010
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
FileNotFoundError: [Errno 2] No such file or directory: 'application_data.csv'# Reading the previous_application.csv file using 'read_csv'.
df2 = pd.read_csv("previous_application.csv")
df2.head()---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-18-8716f413b222> in <module>
1 # Reading the previous_application.csv file using 'read_csv'.
----> 2 df2 = pd.read_csv("previous_application.csv")
3 df2.head()
/opt/conda/lib/python3.8/site-packages/pandas/io/parsers.py 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)
684 )
685
--> 686 return _read(filepath_or_buffer, kwds)
687
688
/opt/conda/lib/python3.8/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
450
451 # Create the parser.
--> 452 parser = TextFileReader(fp_or_buf, **kwds)
453
454 if chunksize or iterator:
/opt/conda/lib/python3.8/site-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
944 self.options["has_index_names"] = kwds["has_index_names"]
945
--> 946 self._make_engine(self.engine)
947
948 def close(self):
/opt/conda/lib/python3.8/site-packages/pandas/io/parsers.py in _make_engine(self, engine)
1176 def _make_engine(self, engine="c"):
1177 if engine == "c":
-> 1178 self._engine = CParserWrapper(self.f, **self.options)
1179 else:
1180 if engine == "python":
/opt/conda/lib/python3.8/site-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
2006 kwds["usecols"] = self.usecols
2007
-> 2008 self._reader = parsers.TextReader(src, **kwds)
2009 self.unnamed_cols = self._reader.unnamed_cols
2010
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
FileNotFoundError: [Errno 2] No such file or directory: 'previous_application.csv'!pip install jovian --upgradeRequirement already up-to-date: jovian in /opt/conda/lib/python3.8/site-packages (0.2.33)
Requirement already satisfied, skipping upgrade: requests in /opt/conda/lib/python3.8/site-packages (from jovian) (2.24.0)
Requirement already satisfied, skipping upgrade: uuid in /opt/conda/lib/python3.8/site-packages (from jovian) (1.30)
Requirement already satisfied, skipping upgrade: click in /opt/conda/lib/python3.8/site-packages (from jovian) (7.1.2)
Requirement already satisfied, skipping upgrade: pyyaml in /opt/conda/lib/python3.8/site-packages (from jovian) (5.3.1)
Requirement already satisfied, skipping upgrade: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/lib/python3.8/site-packages (from requests->jovian) (1.25.11)
Requirement already satisfied, skipping upgrade: idna<3,>=2.5 in /opt/conda/lib/python3.8/site-packages (from requests->jovian) (2.10)
Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in /opt/conda/lib/python3.8/site-packages (from requests->jovian) (2020.6.20)
Requirement already satisfied, skipping upgrade: chardet<4,>=3.0.2 in /opt/conda/lib/python3.8/site-packages (from requests->jovian) (3.0.4)