I saw the first rocket. from django.http import HttpResponse def index(request): return HttpResponse("Hello, world.") 'Hello, world.' it's ok! also 'python manage.py migrate' ok. But when I import pandas... (import only and no use.) from django.http import HttpResponse import pandas as…
I have a reproducible example, toy dataframe: df = pd.DataFrame({'my_customers':['John','Foo'],'email':['[email protected]','[email protected]'],'other_column':['yes','no']}) print(df) my_customers email other_column 0 John [email protected] yes 1 Foo [email protected] no And I apply() a function to the rows, creating a new column inside the function: def func(row): #…
I try to get campaigns data from facebook ads with graph API, and put the data on Pandas Dataframe. So I got the data, but I don't know how I can to extract these data from json. I tried this…
I need to match keywords listed in pandas column with the keywords from a list and create a new column that consists of matched words. Example: my_list = ['machine learning', 'artificial intelligence', 'lasso'] Data: listing keyword_column I am looking for…
I'm new to python coding and wanted to create a new column based on the condition statement on existing columns. I use python 2.7 version and run the code on CentOs. import pandas as pd file1 = pd.read_csv("/root/Documents/temp_file_{}.csv".format(timestr)) file1['FileName'] =…
When I run the pandas get_dummies() function it returns a keyerror stating that all of my columns are nonexistent. The following code uses copyrighted data and I am citing it: UCI Machine Learning Repository's adult dataset cited Dua, D. and…
I have a dataframe with a list of urls for which I want to extract a couple of values. The returned key/values should then be added to the original dataframe with the keys as new columns and the respective values.…
I am attempting to save a plot in "layers". First I want to save just the grid. Then I want to save just my scatter points. And finally I want to save just my trend line, but I can't figure…
for context, I'm looking at a dataset of data scientist job titles and job descriptions and I'm trying to identify how much is each degree level is cited in those job description. I was able to get the code to…
Here is my code: BLOCK 1 import requests import pandas as pd url = ('http://www.omdbapi.com/' '?apikey=ff21610b&t=social+network') r = requests.get(url) json_data = r.json() # from app print(json_data['Awards']) json_dict = dict(json_data) tab="" # printing all data as Dictionary print("JSON as Dictionary (all):n")…