I have these two initial tables: Table1: CustID StartTime EndTime Area 1 12/1/2022 4:00:00 PM 12/1/2022 4:05:00 PM ABC 2 12/1/2022 4:02:00 PM 12/1/2022 4:03:00 PM ABC Table2: Area StartTime EndTime ABC 12/1/2022 4:01:26 PM 12/1/2022 4:02:00 PM ABC 12/1/2022 4:02:05 PM 12/1/2022 4:02:55 PM ABC 12/1/2022 4:04:10 PM 12/1/2022 4:05:00 PM I need to end up with this: Table3:
Tag: pandas
How to visualize Classification using pandas and matplotlib?
I’m trying to classify a dataset using python with pandas. The iris flower dataset consists of 50 samples from each of three species of Iris and contains four features.The goal is to distiguish between the species of irises based on these features. Question: Generate a scatter plot with sepal_length feature in x-axis and petal_width feature in y-axis, which shows the
How to replace irrelevant data into mean values?
Let’s say I have 600,000 data points in column for age. In the data there are values 0 and -1, which is not relevant for age. How can I change both 0 and -1 values in my data to the column mean value using python? The code so far: Answer You can find the mean separatly and then use the
Why can’t I replace Ellipsis using `pd.DataFrame.replace`?
I have this following pd.DataFrame: I am trying to replace the Ellipsis with 1. I know I could do something like: But, for some reason. If I do: Or: I get the following error: Why doesn’t replace allow me to replace Ellipsis? I know how to fix it, I want to know why this happens. The strange thing here is
put two columns from two different datasets together into one column
I have two dataframes df1 name Elias David Simon Manuel and a second df2 name Gabriel Brian Simona Danielle Dilara Martin David Simon I one to put them into one column I expecting an output like these: name Elias David Simon Manuel Gabriel Brian Simona Danielle Dilara Martin where every name occur once, so remove also duplicates. i tried these
Extract data by looping though dates using pandas
I want to scrape exchange rate data from July 1 2021 to June 30 2022 by enumerating exchangeDate variable and save it to excel. Here is my code so far: How do I loop through all dates? Answer You can use something like this:
Why is pandas broadcast formula is skipping rows
I have a dataframe and I’m doing tons (20+) of calculations creating new columns etc. All the calculations work well, including the calculation in question except for 2 rows out of roughly 1,000. The rows are not adjacent to one another and I can’t find anything remarkable about these two specific rows the calculation seems to be skipping. The data
How to calculate the expectation value for a given probability distribution
I am writing a program to determine the expectation value, expectation of the X^2 and E(X – X_avg)^2. I have written a program like so: The dataset that I am using is: Expected: E(X) = 16 E(X^2) = 276 E(X- X_avg)^2 =20 Actual: Answer Your problem is the step 1, so I took the liberty of rewriting it: df: The
Pandas Dataframe create new column with grouppy count with condition on count
I have this Dataframe And I want something like this I tried this operation But I have this result Do you know i could set my condition df.A != df.B on the transform instead on the original dataframe ? Thanks Answer For count matched values (Trues) is possible pass mask with sum, Trues are processing like 1 and Falses like
How to filter based on id which contains specific name in another column in an excel file using Python
I have a excel file containing three columns as shown below, ID Name Date 1136 GG Daubringen 2019-04-08 1136 Manheinm 2020-06-16 1136 Manheinm Streitkof 2020-07-24 1136 Staufenberg 2020-08-15 1136 Stürcken 2021-03-05 1136 Stürcken (FTTH) 2021-09-13 1234 Lerbeck 2019-04-18 1234 BAd oyehausen 2020-06-26 1234 Werre Park 2020-07-14 1234 Werre Park (FTTH) 2020-08-25 1234 Werre Park (FTTH) 2021-03-15 1234 Bad oyehausen 2021-09-23