pandas
Here are 10,875 public repositories matching this topic...
-
Updated
Apr 15, 2021 - Jupyter Notebook
-
Updated
May 13, 2021 - Python
-
Updated
Apr 6, 2021 - Python
-
Updated
Jun 3, 2021 - Python
I just ran into an issue when trying to use to_csv
with distributed workers that don't share a file system. I shouldn't have been surprised that writing to a local file system from a distributed worker doesn't work. It shouldn't work. But the error I got was just a File Not Found
error. That brought me to:dask/dask#2656 (comment) - which was the answer.
-
Updated
Dec 23, 2020 - Python
-
Updated
May 25, 2021 - Python
-
Updated
May 31, 2021 - Jupyter Notebook
-
Updated
Mar 20, 2021 - Jupyter Notebook
-
Updated
Jun 3, 2021 - Python
-
Updated
May 29, 2021 - Python
-
Updated
May 8, 2018 - Jupyter Notebook
Describe the bug
Integer columns that are enclosed in quotes are not correctly inferred as integer columns.
Steps/Code to reproduce bug
import cudf
import pandas as pd
from io import StringIO
from cudf.tests.utils import assert_eq
buffer = '"intcol","stringcol"\n"1","some string"\n"2","some other string"'
pd_df = pd.read_csv(StringIO(buffer))
cu_df = cudf.read_csv(String
-
Updated
Jun 3, 2021 - Python
-
Updated
Feb 6, 2020
I've been experimenting with the crypto aspects of the library, and I do see that there are the endpoints for daily, weekly, and monthly, however the endpoint for intraday is not available using the "function=CRYPTO_INTRADAY" from the Cryptocurrencies section of the API.
I would assume the format would be:
`(data, meta) = cc.get_crypto_intraday(symbol = "", interval = "", market = "", outputs
-
Updated
Jun 1, 2021 - Python
-
Updated
Apr 27, 2021 - Python
- What's your use case?
-
Updated
Mar 1, 2021 - Rust
-
Updated
May 29, 2021 - Python
-
Updated
May 26, 2021 - Python
-
Updated
Jun 3, 2021 - JavaScript
-
Updated
Apr 16, 2021 - Python
Improve this page
Add a description, image, and links to the pandas topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the pandas topic, visit your repo's landing page and select "manage topics."
Is your feature request related to a problem?
when sort_values ascending parameter is set to a string (df.sort_values(col_name, ascending='False') it does not error although it's meaningless, this could be quite confusing.
Describe the solution you'd like
Raise an error if ascending is equal to values that are not boolean
API breaking implications
Error raising