Stats
The stats object used for fetching information about full segments of egytech.fyi user data rather than individual responses.
Attributes
title [Optional]
string
The job title of requested participants.
['ai_automation',
'backend',
'crm',
'data_analytics',
'data_engineer',
'data_scientist',
'devops_sre_platform',
'embedded',
'engineering_manager',
'executive',
'frontend',
'fullstack',
'hardware',
'mobile',
'product_manager',
'product_owner',
'research',
'scrum', 'security',
'system_arch',
'technical_support',
'testing',
'ui_ux']
level [Optional]
string
The career level of requested participants.
['c_level',
'director',
'group_product_manager',
'intern',
'junior', 'manager',
'mid_level',
'principal',
'senior',
'senior_manager',
'senior_principal',
'senior_staff',
'staff',
'team_lead',
'vp']
min_yoe [Optional]
integer
The minimum years of experience for participants to be included in the query results.
Integer between 0 and 20
max_yoe [Optional]
integer
The maximum years of experience for participants to be included in the query results.
Integer between 1 and 26.
gender [Optional]
string
The gender of participants included in the query results.
['male',
'female']
cs_degree [Optional]
boolean
Whether the included participants have a computer science degree or not.
True, False
business_market [Optional]
string
The market scope of the included participants' companies.
['global',
'regional',
'local']
business_size [Optional]
string
The size of the included participants' companies.
['large',
'medium',
'small']
business_focus [Optional]
string
The primary business focus of the included participants' companies.
['product',
'software_house']
business_line [Optional]
string
The business line the participants' companies operate in.
['b2b',
'b2c',
'both']
include_relocated [Optional]
boolean
Include participants who have relocated.
True, False
include_remote [Optional]
boolean
Include participants who work remotely for companies abroad.
True, False
programming_language [Optional]
string
Include participants with knowledge of the following programming language.
['java_script',
'type_script',
'python',
'c_sharp',
'java',
'php',
'c_cplusplus',
'kotlin',
'swift',
'dart',
'go',
'r',
'scala',
'rust']
Note: Attribute ordering on instance creation doesn't matter. Although not recommended, a dictionary can also be used instead of attributes to create a Stats instance.
Note: The supported values for query parameters in the API call differ with cs_degree vs include_relocated and include_remote. Allowed user inputs are boolean, as all of them have 2 possible values. At pydantic model serialization level (the step that produces the dictionary to-be-used for the API call query parameters), this is fixed and only egytech fyi api-supported values are used.
Methods
get_stats()
get_stats()Returns a python dictionary of the aggregated results from the fetched data.
Parameters
No parameters
Returns
dict
A dictionary of the aggregated data from the results of the API Call.
get_df()
get_df()Returns a pandas.DataFrame instance of the fetched bucket data.
Parameters
No parameters
Returns
save_csv(filename: str)
save_csv(filename: str)Parameters
filename
str
The name of the .csv file to dump the fetched bucket data in (without extension). No extension is needed explicitly as it's added during the file-saving process.
"my_awesome_data"
Returns
None
This method is simply a placeholder for the pandas.DataFrame.to_csv() method. It simply saves the generated pandas.DataFrame instance to a .csv file and excludes the index. You can customize your own function parameters for this by simply calling the get_df() method, and manipulating the resulting pandas.DataFrame as you want.
save_excel(filename: str)
save_excel(filename: str)Parameters
filename
str
The name of the .xlsx file to dump the fetched bucket data in (without extension). No extension is needed explicitly as it's added during the file-saving process.
"my_awesome_data"
Returns
None
This method is simply a placeholder for the pandas.DataFrame.to_excel() method. It simply saves the generated pandas.DataFrame instance to a .xlsx file and excludes the index. You can customize your own function parameters for this by simply calling the get_df() method, and manipulating the resulting pandas.DataFrame as you want.
This function uses "xlsxwriter" as the excel writer engine by default. Customization is available by calling to_excel() on a pandas.DataFrame instead.
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