All Answers Tagged With dataframe
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- i want to group a dataframe by certain columns and then for each grouping iterate like so 'for group, df_obj in df.groupby(column_names)'
i then want to put the values for each column name into a dict as keys and each value in the tuple 'group' into the c
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- import string
from pyspark import SparkConf, SparkContext
from pyspark.sql import SparkSession
from pyspark.sql.functions import regexp_replace, col
from pyspark.sql import DataFrame
def read_dataframe(spark, file_path):
"""Reads a dataframe from a
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- this is the dataframe you have:
Year Month Total_Price_Adjusted
0 2011 11 2.030753e+09
1 2011 12 1.755398e+10
2 2012 1 2.526303e+10
3 2012 2 2.586605e+10
4 2012 3 2.864628e+10
5 2012 4 2.784484e+10
6 2012 5 2.644537e+10
7 2012 6 2.878245e+10
8 2012 7 3.2
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- To select a column from the database table, we first need to make our dataframe accessible in our SQL queries. To do this, we call the df.createOrReplaceTempView method and set the temporary view name to insurance_df.
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- To select a column from the database table, we first need to make our dataframe accessible in our SQL queries. To do this, we call the df.createOrReplaceTempView method and set the temporary view name to insurance_df.
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- i want to group a dataframe by certain columns and then for each grouping iterate like so 'for group, df_obj in df.groupby(column_names)'
i then want to put the values for each column name into a dict as keys and each value in the tuple 'group' into the c
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- tmp/ipykernel_33/2457021455.py:1: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-vers
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- I feel that there is a disconnect between the two functions and how the data is defined. It is returning all fields but empty now. Here is code:
def calculate_flags(df):
# Sort the DataFrame
df = df.sort_values(['StudentID', 'Year', 'Semester'])
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