Comments (5)
Or else you can use :
import pandas as pd
# Specify the path to your CSV file
file_path = 'test.csv'
# Read the file using tab as the separator
df = pd.read_csv(file_path, delimiter='t', header=None, escapechar='\\')
# Display the dataframe
print(df)
Output:
0 1
0 "\ a
from pandas.
The data line which you gave is "\""\t"a"
But the image in issue description has different text.
Can you give exactly what should be present, and here does data
mean its a path to a .csv file, cause you didn't describe the issue properly ?
from pandas.
Iām sorry for my unclear expression.
- The actual data is still
"\""\t"a"
like the below image. The image in the first comment is meant to show that pd does not separated into two elements as expected.
- Yes, data means a path to a .csv file that contains the given line.
from pandas.
This works when you have the data inside .csv to be in the format of:
"\"" "a"
But fails for "\""\t"a"
I think using the separator \t checks for tab spaces and not for the same exact \t separator
from pandas.
take
from pandas.
Related Issues (20)
- BUG: Couldn't run sql: 'Connection' object has no attribute 'cursor' HOT 3
- Surprising behavior: set_index cannot set a MultiIndex from a tuple, only a list HOT 4
- BUG: pandas.to_datetime reports incorrect index when failing. HOT 4
- BUG: Error message in read_csv misleading when using decimal="," HOT 1
- DOC: Add Bodo to out-of-core projects in ecosystem HOT 4
- QST: Is this expected behavior when pd.read_csv() with na_values arguments? HOT 3
- BUG: GroupBy.value_counts doesn't preserve original order for non-grouping rows HOT 2
- pandas.Series.groupby example is not relevant HOT 6
- PERF: Significant Performance Difference in DataFrame.to_csv() with and without Index Reset
- BUG: df.to_json causes low precision in floats
- DOC: Typo in docs for na_values parameter in pandas.read_csv function HOT 1
- BUILD: Pandas never succeeds, the most time consuming part of using pandas HOT 2
- ENH: extent Styler `to_latex` for index name styling
- String dtype: overview of breaking behaviour changes HOT 2
- BUG: pandas.read_parquet () dtype_backend argument does not get the default value as documented HOT 1
- BUG: pd.Series.duplicated(keep='first'|'last') returns multiple duplicates HOT 2
- DOC: Website opens search when I press Caps Lock HOT 2
- ENH: Need API support and __repr__ to discover the storage used for strings
- DOC: Make usage of `rtol` and `atol` arguments in `pd.testing.assert_frame_equal` clearer
- API: pd.StringDtype.value_counts should return pd.Int64Dtype
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ššš
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ā¤ļø Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pandas.