All Questions
74 questions
-3
votes
1
answer
46
views
Dataframe merge overlapping dates
I have a question where I need to merge two dataframes whose values(masked) are given as
dds is a dataframe and its data is
STATE START_DATE END_DATE data_val
Alabama 04/01/2021 06/15/2021 x
...
4
votes
3
answers
143
views
Merge 3 dataframes with different timesteps (10min and 15min and 30min) using pandas
The goal is to merge three different dataframes having different timesteps (10min, 15min and 30min. The code must recognize what timestep to consider firstly and identify the next available next ...
0
votes
1
answer
26
views
How to create dataframe of conflicting shifts in Pandas?
I have two dataframes:
filled_shifts:
Worker ID Position Name Start Date Start Time End Date End Time
0 00ul13zkpiYemBsW10x7 Remote CC - Tasks 2020-07-27 5:00:00 ...
1
vote
1
answer
32
views
Merging on DatetimeIndexes and on = ''
I have two pandas data frames, that I need to merge on both indexes and one other variables. Like this,
import pandas as pd
import numpy as np
n = 9
df1 = pd.DataFrame({
"ctr": np....
0
votes
0
answers
45
views
How can i convert 31 colums (refering to the days of month) into a single datetime column?
I have this:
Febuary_Sells
(31 columns refering to the days of month)
Store | Product | 1 | 2 | 3 | 4 | 5 | ... | 31 |
Store 1 | Iphone | 0 | 3 | 1 | 3 | 2 | ... | 0 |
Store 1 | 4k TV | 1 ...
1
vote
1
answer
43
views
how to match datetime pandas column with range of times in another datetime column
I have df1 with columns 'Reported Date' and 'order',df2 has columns 'lastoccurance' and 'orders', I want to merge df1 and df2 with condition lastoccurrence = Reported date+ or - 30 minutes(range of -/+...
0
votes
0
answers
85
views
Inconsistent Timestamp format when merging to dataframes [duplicate]
I am merging two dataframes, both have a Timestamp format DD.MM.YYYY. But when I merge them, some rows have format MM.DD.YYYY and others DD.MM.YYYY.
The dataframes I'm using are being exported from ...
2
votes
1
answer
68
views
Pandas. Collapse rows with a certain time difference by summing data in other columns
I have a table with time points (timestamp). If less than a minute has passed between the points, I need to sum the timedelta and update the point's datetime boundaries.
For the rows where 'time_break'...
1
vote
1
answer
48
views
how to merge values onto dates of a dataframe by the hour given intervals between days pandas
so I have constructed weights for values between specific timestamps in pandas. I want to be able to assign these weights to another dataframe that has datetime objects with values down to the hour. ...
1
vote
1
answer
40
views
Python merge by closest date for a particular client
I am new on Python and I thank you therefore for your help.
Here is my dF :
df = pd.DataFrame{'Id': {0: 'ae9b0886-7e2b-4c37-a3a3',
1: 'ae9b0886-7e2b-4c37-a3a3',
2: 'ae290c85-9dfb-440f-becb',
3: '...
1
vote
2
answers
35
views
Joining values indexed by date and time with irregular measurements
I have two dataframes, both with a timestamp and some measurement; let's say measurement X and Y. I'd like to join these on their date/time index to compare the measurements but their timestampss are ...
0
votes
1
answer
369
views
Including a lag specification in a pandas merge based on datetime column
I am merging a column from one dataframe with a larger one based on date column. With this code:
df_final = pd.merge(df_final, pmms_df, how='left', on='PredictionDate')
pmms_df looks like this:
...
-2
votes
1
answer
46
views
How to group sequence based on group column assign a groupid
Below is the dataframe I have
ColA ColB Time ColC
A B 01-01-2022 ABC
A B 02-01-2022 ABC
A B 07-01-2022 XYZ
A B 11-01-2022 IJK
A B 14-01-...
0
votes
2
answers
58
views
Append a row of df2 to existing df 1 if 2 conditions apply
So I have the following two data sets:
df1:
index
datetime
team
other conditions
1
2013-4-1
team a
73.3
2
2013-4-1
team b
34.5
3
2014-3-12
team c
57.2
df2:
index
datetime
home
away
other conditions
1
...
1
vote
1
answer
84
views
Merge dataframes by dates
I have got the below 2 df:
lst=[['2021-01-01','A'],['2021-01-01','B'],['2021-02-01','A'],['2021-02-01','B'],['2021-03-01','A'],['2021-03-01','B']]
df1=pd.DataFrame(lst,columns=['Date','Pf'])
lst=[['...