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Selecting values from lists to be put in graphs


Selecting values from lists to be put in graphs

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Selecting values from lists to be put in graphs
Tag : python , By : bashmish
Date : December 05 2020, 12:18 PM

Any of those help Since you have list of lists where every element of the list is a row, try:
salaries = [int(salary) for emp_no, name, age, pos, salary, yrs_emp in emp_data_list]
salaries = [int(stuff[4]) for stuff in emp_data_list]

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Selecting from Python lists using values rather than indices


Tag : python , By : Steve M
Date : March 29 2020, 07:55 AM
should help you out Let's say that I have a tuple: , Yes you can:
[v for v in aList if v in ['d', 'e', 'f']]
[v for v in aList if v in 'def']

Excluding email lists while selecting specific values at once


Tag : mysql , By : user147496
Date : March 29 2020, 07:55 AM
Does that help When possible you should use NOT IN instead of NOT EXISTS. This should be faster:
BEGIN

CREATE TABLE `mytable` AS (

SELECT Email FROM `anothertable` A
WHERE Email NOT IN (SELECT Email FROM `optout`)
AND Email NOT IN (SELECT emailbounced FROM `allbounced`)

GROUP BY Email
HAVING 
(SUM(CASE WHEN target = 'M' THEN 1 ELSE 0 END) > 0 OR   -- MAN  is present
SUM(CASE WHEN target = 'W' THEN 1 ELSE 0 END) > 0 AND   -- WOMAN  is present
SUM(CASE WHEN target NOT IN ('M', 'W') THEN 1 ELSE 0 END) = 0)  -- only MAN or WOMAN

);

END

Selecting single values from pandas dataframe using lists


Tag : python , By : Erwin
Date : November 04 2020, 03:01 PM
I wish did fix the issue. you can use DataFrame.lookup():
In [6]: pd.Series(df.lookup(df.index, df.columns), index=df.columns)
Out[6]:
A    0
B    4
C    8
dtype: int32
In [14]: pd.Series(df.lookup(ind, cols), index=df.columns)
Out[14]:
A    0
B    4
C    8
dtype: int32
In [12]: df.lookup(df.index, df.columns)
Out[12]: array([0, 4, 8])

Selecting values with Pandas multiindex using lists of tuples


Tag : pandas , By : Jojo
Date : March 29 2020, 07:55 AM
will be helpful for those in need The list of tuples is not the problem. The fact that each tuple does not correspond to a single index is the problem (Since a list isn't a valid key). If you want to index a Dataframe like this, you need to expand the lists inside each tuple to their own entries.
d = [
  {
    'id': 0,
    'foo': [1],
    'bar': ['a', 'b']
  },
  {
    'id': 3,
    'foo': [2],
    'bar': ['a', 'b']
  },
  {
    'id': 7,
    'foo': [1, 2],
    'bar': ['a']
  },
]
all_idx = [
    (el['id'], i, j)
    for el in d
    for i in el['foo']
    for j in el['bar']
]

# [(0, 1, 'a'), (0, 1, 'b'), (3, 2, 'a'), (3, 2, 'b'), (7, 1, 'a'), (7, 2, 'a')]

df.loc[all_idx].groupby(level=0).sum()
        col1
id
0  -0.225873
3  -3.048268
7  -1.315756

How to make charts/graphs (such as line graphs, bar graphs, circle graphs), etc. in C++, Qt, QML, Blackberry 10 Cascades


Tag : cpp , By : TC.
Date : March 29 2020, 07:55 AM
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