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4 python manage.py startapp abc (1 mark for correct answer) an alternate key OR UPDATE command is used to change or modify data in existing table (1 mark for correct answer) A connection in MySQL is the session between an application and database system.
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2. Python | Pandas DataFrame. Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). A Data frame is a two-dimensional data structure, i.e., data is aligned in a tabular fashion in rows and columns.
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Create a data frame based on ecommerce data (such as quarterly sales where each row contains the item category, item name, quantity in stock, price per item …
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Python for Data science (DataCamp). ch1: Python basics . print() type() : int, float, str, bool # In python, double “ ” and single quotes ‘ ’ have identical functionality, unlike PHP or Bash
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Python version: 2, 3 . ESRI: ArcGIS Desktop, ArcGIS Pro. Data output: Two shapefiles, point and line. Two csv files, one with movement between surveys and one with total movement between first and last survey. """ import sys. import os. import arcpy. import csv. import pandas as pd. import numpy as np. import itertools. def proc_main(): """
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Write python statement to create a one –dimensional array using arrange() function .Elements will be in the range 10 to 30 with a step of 4 (including both 10 and 30). Reshape this one-dimensional array to two dimensional array of shape(2,3).
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Easy and quick approach to develop complex pivot table ...
The new dataframe should align with the dataframe (3) indexes/levels. Get the index values for each of the levels and then form a tuple using zip method. Pass the tuple list to MultiIndex.from_tuples pandas method and build the index/dataframes. Concatenate the newly formed dataframes to dataframe (2) to form a consolidated dataframe (9) Sort ...
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STAT 29000 Project 11. Topics: Python, plotting. Motivation: The ability to take some data and produce a plot or graphic is a key skill for any scientist or researcher. In addition, although taking the time to thoroughly learn how to use a tool is most often the better thing to do, sometimes this is not practical and you will need to learn enough to “scrape by” and quickly do something.
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pivot() is used for pivoting without aggregation. Therefor, it can’t deal with duplicate values for one index/column pair. pivot_table is a generalization of pivot that can handle duplicate values for one pivoted index/column pair. Specifically, you can give pivot_table a list of aggregation functions using keyword argument aggfunc.
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Python dataframe append index