[Solved] Tuples conversion into JSON with python [closed]

Assuming you want a list of dicts as the output of the json with each dict be the form in your question: The following one liner will put it into the data structure your looking for with each tuple generating it’s own complete structure: [{‘name’:i[0], ‘children’: [{‘name’: i[1], ‘value’: i[2]}]} for i in tuples] But … Read more

[Solved] Python returns “SyntaxError: invalid syntax sys module” [closed]

import pandas as pd sys.path.insert(0, “/usr/lib/python2.7/site-packages”) This line contains two statements. Split them into two lines: import pandas as pd sys.path.insert(0, “/usr/lib/python2.7/site-packages”) Or, if they must be in one line, separate them with semicolon (highly not recomended!!!): import pandas as pd; sys.path.insert(0, “/usr/lib/python2.7/site-packages”) 1 solved Python returns “SyntaxError: invalid syntax sys module” [closed]

[Solved] converting a text file to csv file with out index

Try this: from io import StringIO csvtext = StringIO(“””1 1 1 1 1 2 3 4 4 4 4″””) data = pd.read_csv(csvtext, sep=’\n’, header=None) data.to_csv(‘out.csv’, index=False, header=False) #on windows !type out.csv Output: 1 1 1 1 1 2 3 4 4 4 4 2 solved converting a text file to csv file with out index

[Solved] How to compute the ratio of Recovered Cases to Confirmed Cases for each nation using pandas in 8 lines [closed]

Computing the ratio Since there are multiple regions in a country, there are duplicated values in the Country_Region column. Therefore, I use groupby to sum the total cases of a nation. ratio = df.groupby(“Country_Region”)[[“Recovered”, “Confirmed”]].sum() ratio[“Ratio”] = ratio[“Recovered”] / ratio[“Confirmed”] Let’s get the first five nations. >>> ratio.head() Recovered Confirmed Ratio Country_Region Afghanistan 41727 52513 … Read more