pandas

I have this code: import urllib.request, json url = "https://api.wto.org/timeseries/v1/indicator_categories?lang=1" hdr ={ # Request headers 'Cache-Control': 'no-cache', 'Ocp-Apim-Subscription-Key': '21cda66d75fc4010b8b4d889

I am working on a project where I use dataframes and at some point I need to do the sum of a column. This columns contains float values that has all been rounded to 2 decimals. The screenshot shows 2953.8 but in reality it is 2953.80. Wh

I am trying to assess in a sales database whether the # of advertisements has changed. The example dataframe I am using is as such: df = pd.DataFrame({"offer-id": [1,1,2,2,3,4,5], "date": ["2024-02-10","2024-02-11","2024-02-10","2024-02-

df = pd.DataFrame( { "group": [0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1,1, 1, 1, 1], "value": [0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0,0, 0, 1, 1], "desire

This is part two or a follow up to [this question][1]. I have a DataFrame that looks like this: |id |name |start_date|clicks |conversions|installs|downloads| |---|------|-----------|--------|---------|---------|--------| |101|India |202

(1) I am using Python's pandas to compare two csv files. In the both files have exact same data set and should return something like the statement "two files are identical". However, there is one column with header of "Error" and the col

MY EXCEL CONTENT HAD 0 HEADER FILE BUT 4TH & 5TH ROW ALSO A HEADER FILE HOW TO BRING IT UP INTO 0 NEXT TO ID. SAMPLE TABLE. BELOW FIND THE REAL SOURCE IMAGE. SOURCE IMAGE tried this below code df = pd.DataFrame([[1,2,3],[4,5,6]]) print(p

Ok so I have 2 dataframes: df = pd.DataFrame({'A':['German Shepherd','Border Collie','Golden Retriever','Beagle','Daschund']}) df = df.T df.columns = df.iloc[0] df = df.drop(df.index[0]) A German Shepherd Border Collie Golden Re

I need to implement whether the driver was overspeeding while driving. GPS information is uploaded every second from the GPS device installed in the vehicle driven by the driver like below. [(37.165224, 127.2354123), ... ,(37.123456, 127

So I have this weird issue. I'm using a huge dataset that has dates and times in it represented by a single string. This data can be easily converted using datetime.strptime(), but the problem is the data is so huge, I need to use pysp

Let's say I have the following: import numpy as np X = np.array([[1, 2, 3], [4, 5, 6]]) mask = np.array([[False, False, True], [False, True, False]]) values = np.array([20, 30]) I want to fill in the values of 20 and 30 in where the ma