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Newest 'pandas' Questions - Stack Overflow
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289,262 questions
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0
votes
1
answer
49
views
pandas test if the datatype of an input series supports nan values
I had something like the following code using pandas 1.x that new generates a warning in pandas 2:
import pandas as pd
import numpy as np
df1 = pd.DataFrame({"i":[1,2,3,4,5], "a":[...
0
votes
0
answers
68
views
Python merge multiple dataframes out of memory and chunk them while preserving multindex boundaries
Say I have a multindex dataframe with index lev1,lev2,lev3 that is created by merging 3 datasets with indexes [lev1], [lev1,lev2] and [lev1,lev2,lev3]. Each dataframe is a subset of the other (all ...
0
votes
0
answers
51
views
Best way to convert FastAPI/SQLmodel into Polars Dataframe?
What is best way to convert a FastAPI query into a Polars (or pandas) dataframe.
Co-pilot give this.
with Session(engine) as session:
questions = session.exec(select(Questions)).all()
...
0
votes
1
answer
81
views
Polars.write_excel: How to remove thousand separator for i64 & f64 and remove trailing zero for f64 efficiently?
SOLUTION as of 16JUL25:
See rotabor's float_precision answer for trailing zero problem.
To solve thousands separator problem gracefully without unnecessary steps, do NOT bother using polars....
0
votes
0
answers
42
views
Reading parquet files with pandas [closed]
I am trying to read my saved parquet files on Jupyter notebook using pandas
df = pd.read_parqet()
but it's unable to execute that line and after a few minutes it says
-The Kernel for the file__ seemed ...
2
votes
1
answer
76
views
2
votes
1
answer
45
views
How to identify price regimes / trends in Pandas
I have created the following pandas dataframe, which is an example of 26 stock prices (Open, High, Low, Close):
import pandas as pd
import numpy as np
ds = {
'Date' : ['15/06/2025','16/06/2025','17/...
2
votes
1
answer
48
views
Indicating which column wins in a df.min() call [duplicate]
I want to find the minimum value per row and create a new column indicating which of those columns has the lowest number. Unfortunately, it seems like pandas isn't immediately able to help in this ...
0
votes
0
answers
68
views
How to do pandas grouping, filtering, and a pie chart using chained operations? [closed]
How can I simplify the code below and make it more efficient using chained operations? Currently, I am creating intermediate objects and using a for loop.
I use this data: https://www.kaggle.com/...
0
votes
3
answers
128
views
How can I remove the brackets and parentheses at the end of words? [closed]
My task is to parse the protein names by removing the brackets and parentheses in the row.
In short, I want to retain the words in front of any parentheses and brackets.
Note that I need to keep ...
1
vote
1
answer
79
views
fill row value based on column identifier
I have a dataframe like below, and would like to fill value from previous row value based on id field, so, any record with 4 in colA get what the previous colA=3 records' colC value, colB stays the ...
0
votes
1
answer
54
views
Pandas Pivot_table KeyError when Key is Present
I've run this code in an older version of Python, with success; however, we've recently switched to Python 3.9 and I'm getting a KeyError:'RegIndex' on a pivot step for a column that exists in the ...
2
votes
1
answer
70
views
Pandas dataframe, resample for individual values in my column
I have a pandas dataframe that looks like this:
Date Country Value
0 2021-10-22 GB 98.139514
1 2021-11-29 GB 103.875788
2 2021-12-29 GB 111.097210
3 ...
-2
votes
0
answers
43
views
how to find the top N or bottom N numeric values of a DF after a group by [duplicate]
This prints out the 10 worst mean values in a dataframe (this dataframe was constructed with an agg, so it has a multi-level column name).
worst = rcresult.sort_values(by=('resolvetime', 'mean'), ...
1
vote
1
answer
55
views
Tried plotting yfinance data by framing into pandas with the help of seaborn and matplotlib. Shows error no matter what. How to fix this?
import yfinance as yf
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
df = yf.download('AAPL',start="2021-01-01",end='2025-07-13')
print(df.head()) #display the ...
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