series

Is .diff(period=-10) working on pandas series? Question: I have a dataframe like so: import pandas as pd import numpy as np date_rng = pd.date_range(start="2023-11-18", periods=3, freq="10S") values = [4, 2, 3] df = pd.DataFrame(data={"values": values}, index=date_rng) df["dt"] = df.index.to_series().diff().dt.seconds df["dt"] = df.index.to_series().diff(periods=2).dt.seconds df["dt_neg"] = df.index.to_series().diff(periods=-1).dt.seconds print(df) gives values dt dt_neg 2023-11-18 00:00:00 4 NaN 86390.0 …

Print the Number series in Pyhon Question: Help me to solve this number series question: input : 5 Output: 2 3 4 4 5 6 5 6 7 8 6 7 8 9 10 My program : rows = 6 # number of rows in the pattern start_num = 2 # starting number for the …

How to transform a DataFrame with a complicated series in a new DataFrame Question: I’m going through a hard time trying to transform a dataframe with 2 columns into another DataFrame. The first column is my index (ints) and the another column is a complicated series. For what i’m able to see the structure of …

How to replace a column in a DataFrame with a column of tuples Question: So I’ve got an integer Series and I want to transform it into a Series of tuples where the dictionary is the transformation. The size of Data is big so speed is important The relationship between numbers here is not relevant …

Pandas How to flag consecutive values ignoring the first occurrence Question: I have the following code: data={‘id’:[1,2,3,4,5,6,7,8,9,10,11], ‘value’:[1,0,1,0,1,1,1,0,0,1,0]} df=pd.DataFrame.from_dict(data) df Out[8]: id value 0 1 1 1 2 0 2 3 1 3 4 0 4 5 1 5 6 1 6 7 1 7 8 0 8 9 0 9 10 1 10 11 …

How can we update the multiple ids which are in csv file in python script? Question: I am trying to update the table based on id. I have multiple ids more than 1.4 million. So I have kept the 1.4 million ids in one CSV file and in my code using chunks. As of now …

Find the nearest number(but not exceed) in the list and change numbers in the series(Python) Question: there is a series like below s = pd.Series([25, 33, 39]) 0 25 1 33 2 39 dtype: int64 and a list list = [5, 10, 20, 26, 30, 31, 32, 35, 40] [5, 10, 20, 26, 30, 31, …

pandas.Series.apply() lambda function to count data-frame column values with conditions Question: This post follows on from another one I posted which can be found here: use groupby() and for loop to count column values with conditions I am working with the same data again: import pandas as pd import numpy as np from datetime import …

Number the values ​that are in the series of the dataframe Question: I have this dataframe 0 312229 12 {"from":[3,4],"to":[7,4],"color":2},{"from":[3… ["v","b","c","c","a","h","i","e","r","s","f","… "#ff0000","#00fe00","#0000ff","#d2ea9a","#407f… "place","cartable","gomme","bureau","bibliothè… 4 400606 12 {"from":[3,4],"to":[7,4],"color":2},{"from":[3… ["v","b","c","c","a","h","i","e","r","s","f","… "#ff0000","#00fe00","#0000ff","#d2ea9a","#407f… "place","cartable","gomme","bureau","bibliothè… 8 410051 12 {"from":[3,4],"to":[7,4],"color":2},{"from":[3… ["v","b","c","c","a","h","i","e","r","s","f","… "#ff0000","#00fe00","#0000ff","#d2ea9a","#407f… "place","cartable","gomme","bureau","bibliothè… … And I need to convert this dataframe column 0 ["v","b","c","c","a","h","i","e","r","s","f","… 4 ["v","b","c","c","a","h","i","e","r","s","f","… 8 ["v","b","c","c","a","h","i","e","r","s","f","… 12 ["v","b","c","c","a","h","i","e","r","s","f","… 16 …

Obtaining a pandas series by constructing its name as a string Question: I’m looking to construct a series name as a string and get its values for a given index, or set its value for a particular index. For example: def getEntityValue(self, testCase, ent_order): if ent_order == 1: return self.testInputEnt1[testCase] elif ent_order == 2: return …