All Questions
248,273
questions
0
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34
views
Why data that are being written to excel are not starting from the 'A' column?
I'm using pandas to copy data from one excel to another and the data are being copied just not at the right place.
I have this function that reads the data:
def updated_file(self, progress_bar):
...
0
votes
0
answers
21
views
Is using a Pandas Dataframe as a read-only table scalable in a Flask App?
I'm developing a small website in Flask that relies on data from a CSV file to output data to a table on the frontend using JQuery.
The user would select an ID from a drop-down on the front-end, then ...
1
vote
1
answer
26
views
Python Pandas difference in boolean indexing between ~ != and ==
I am confused about different results of boolean indexing when using ~ after != versus when using just ==
I have a pandas df with 4 columns:
dic = {
"a": [1,1,1,0,0,1,1],
"b&...
0
votes
0
answers
9
views
FutureWarning in emobpy: incompatible dtype assignment with Pandas DataFrame
I am using the emobpy library to set custom rules for a mobility analysis, but I encounter a FutureWarning about incompatible data types when trying to modify DataFrame items. Here's the problematic ...
-1
votes
1
answer
32
views
how do you merge values in rows, replace nan values in pandas
I am doing some manipulation on a data frame:
df
Node Interface Speed carrier 1-May 9-May 2-Jun 21-Jun
Server1 internet1 10 ATT 20 30 ...
0
votes
0
answers
21
views
text_auto Parameter Not Working in Plotly
The text_auto parameter for a Plotly Express bar chart is not functioning for me, despite seemingly correct syntax. I am using both Jupyter Notebook and Eclipse and the issue persists in both. Plotly ...
0
votes
2
answers
41
views
Sort Pandas dataframe by Sub Total and count
I have a very large dataset called bin_df.
Using pandas and the following code I've assigned sub-total "Total" to each group:
bin_df = df[df["category"].isin(model....
0
votes
3
answers
56
views
How to find rows with value on either side of a given value?
Python, Pandas, I have a dataframe containing datetimes and values.
# Create an empty DataFrame with 'timestamp' and 'value' columns
df = pd.DataFrame(columns=['timestamp', 'value'])
df.set_index('...
-1
votes
1
answer
31
views
pd.to_datetime() not consistently working to convert objects
I have been working with this data (csv) that exists in an AWS S3 bucket. When I am pulling the data I have to transform all the columns to their correct dtypes.
All other dtypes are working properly ...
1
vote
1
answer
67
views
How can I filter df “A” using as a condition a comparison to df “B”?
I’ve got 2 dataframes, dfA and dfB, with different shapes and with different orders. dfA is contained in dfB.
There are 3 columns in this example, “Job Title”, “Job Department” and “Job Salary”. dfA ...
-1
votes
0
answers
30
views
Index into fields of a DataFrame row without needing a row index? [duplicate]
In pandas, is there a way to work with one row of a DataFrame at a time, and for each row, indexing into the columns by name but without indexing into the rows? My current approach is (say) modifying ...
-5
votes
0
answers
39
views
Pandas .isin returns an empty dataframe even though I know the data is there [closed]
I have two dataframes, one titled small and one titled big. Small has a column called 'Part Number' while big has columns called 'fpartno' and 'fgroup'. I want to find all values in the 'Part Number' ...
-1
votes
0
answers
44
views
How to split a info in a single row in excel into columns using python [duplicate]
I have read a CSV file using pd.read_csv()
I am trying to clean up this data but it is proving a bit difficult.
Essentially all of the information is in a single column and row 1 and I need to split ...
2
votes
3
answers
57
views
How to convert JSONL to parquet efficiently?
Given a jsonl file like this:
{"abc1": "hello world", "foo2": "foo bar"}
{"foo2": "bar bar blah", "foo3": "blah foo"}
...
0
votes
0
answers
29
views
Python threads 'starved' by pandas operations
I am creating a UI application with Qt in Python. It performs operations on pandas DataFrames in a separate threading.Thread to keep the UI responsive; no individual pandas instruction takes noticable ...