Converting a Dataframe into a specific json format

I need to convert this dataframe into the json format below and I can’t get it to work conv_item_id updated_item_value order_check a 1.99 approved b 2.99 approved c 2.99 approved { “…

Python string format

I have defined the string variable value=“c:/program files/tm su/usr” I need to use this variable in another string like Bashcmd=“Override project={value}” I tried adding the rf option like this …

(Python).format() is output incorrectly

Element = [“abc1”, “abc2”, “abc3”, “abc abc abc4”, “abc abc5”, “abc6”] swaps = {‘{}’.format(Element[0]): random.choice((‘{ff}’)).format(ff =…

How format different values in pandas?

i have a columns of dataframe with 1000+ different format of values. how can i format these in order to have unified view like this 1.000.000. Sales 1.000.000 10000000 150,250 0,200655 for example: …

Conditional formatting of arrays in Numpy Python

I am trying to make a function where if the last value of order is 1 then the code will append 1 to orders and then append the number 20 to the value array as well. If the last value is 0 in order …

Easiest way to split JSON file using Python

I am working on an interactive visualization of the world happiness report from the years 2015 up to 2020. The data was split into 6 csv files. Using pandas, I have succesfully cleaned the data and …

Align strings over a common character

I am looking for a simple, pythonic way of doing this with the minimum calculations and loops. I have a bunch of strings, such as: 1 + 2 = 3 2*6 + 13 = 25 What I would like to print at the screen is:…

Converting from float to percentage

I would like to convert a decimal number (say 0.33333) to percentage (expected answer 33.33%) I used the following x = 0.3333 print(format(x,’.2%’)) which gives indeed 33.33% However, the result …

How to print a string at a fixed width?

I have this code (printing the occurrence of the all permutations in a string) def splitter(str): for i in range(1, len(str)): start = str[0:i] end = str[i:] yield (start,…